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Posts Tagged ‘Apoptosis’

NIH Considers Guidelines for CAR-T therapy: Report from Recombinant DNA Advisory Committee

Reporter: Stephen J. Williams, Ph.D.

UPDATED 5/27/2024

The practice of pharmacovigilence, both premarketing and postmarketing, has very well defined best practices concerning most small molecule drugs and even medical devices.  However, for many cell based therapies and many gene based therapies, often still administered within the university, academic setting, pharmacovigilence reporting and adherence may be a not as efficient and thorough as conducted by large big pharmaceutical firms.  Big pharma will devote massive resources for the conduct of pharmacovigilence data collecting and analysis.  For many cell based therapies, like CAR-T therapies and some gene therapies are almost conducted as clinical trials within university medical centers, which may not have the resources for a large pharmacovigilence program.

In a report by IQVIA, oncologists were asked about their concerns with cell based therapies.  A recurring concern involved the lack of information on the adverse events related to these therapies, especially after an oncologist’s patient would return from administration of their CAR-T therapy and then both patient and oncologist felt ‘on their own’.

Most recently the FDA has issued black box warning on many CAR-T therapies for their risk in inducing secondary malignancies (see What does this mean for Immunotherapy? FDA put a temporary hold on Juno’s JCAR015, Three Death of Cerebral Edema in CAR-T Clinical Trial and Kite Pharma announced Phase II portion of its CAR-T ZUMA-1 trial).

Source: https://www.fiercepharma.com/ai-and-machine-learning/oncologists-have-shopping-car-t-full-complaints-safety-questions-cell?utm_medium=email&utm_source=nl&utm_campaign=LS-NL-FiercePharma+Tracker&oly_enc_id=2360C5096034F3G

Note: the IQVIA will be submitted as an abstract at the current ASCO meeting

UPDATED 5/10/2022

In the mid to late 1970’s a public debate (and related hysteria) had emerged surrounding two emerging advances in recombinant DNA technology;

  1. the development of vectors useful for cloning pieces of DNA (the first vector named pBR322) and
  2. the discovery of bacterial strains useful in propagating such vectors

As discussed by D. S, Fredrickson of NIH’s Dept. of Education and Welfare in his historical review” A HISTORY OF THE RECOMBINANT DNA GUIDELINES IN THE UNITED STATES” this international concern of the biological safety issues of this new molecular biology tool led the National Institute of Health to coordinate a committee (the NIH Recombinant DNA Advisory Committee) to develop guidelines for the ethical use, safe development, and safe handling of such vectors and host bacterium. The first conversations started in 1974 and, by 1978, initial guidelines had been developed. In fact, as Dr. Fredrickson notes, public relief was voiced even by religious organizations (who had the greatest ethical concerns)

On December 16, 1978, a telegram purporting to be from the Vatican was hand delivered to the office of Joseph A. Califano, Jr., Secretary of Health, Education,

and Welfare. “Habemus regimen recombinatum,” it proclaimed, in celebration of the

end of a long struggle to revise the NIH Guidelines for Research Involving

Recombinant DNA Molecules

The overall Committee resulted in guidelines (2013 version) which assured the worldwide community that

  • organisms used in such procedures would have limited pathogenicity in humans
  • vectors would be developed in a manner which would eliminate their ability to replicate in humans and have defined antibiotic sensitivity

So great was the success and acceptance of this committee and guidelines, the NIH felt the Recombinant DNA Advisory Committee should meet regularly to discuss and develop ethical guidelines and clinical regulations concerning DNA-based therapeutics and technologies.

A PowerPoint Slideshow: Introduction to NIH OBA and the History of Recombinant DNA Oversight can be viewed at the following link:

http://www.powershow.com/view1/e1703-ZDc1Z/Introduction_to_NIH_OBA_and_the_History_of_Recombinant_DNA_Oversight_powerpoint_ppt_presentation

Please see the following link for a video discussion between Dr. Paul Berg, who pioneered DNA recombinant technology, and Dr. James Watson (Commemorating 50 Years of DNA Science):

http://media.hhmi.org/interviews/berg_watson.html

The Recombinant DNA Advisory Committee has met numerous times to discuss new DNA-based technologies and their biosafety and clinical implication including:

A recent Symposium was held in the summer of 2010 to discuss ethical and safety concerns and discuss potential clinical guidelines for use of an emerging immunotherapy technology, the Chimeric Antigen Receptor T-Cells (CART), which at that time had just been started to be used in clinical trials.

Considerations for the Clinical Application of Chimeric Antigen Receptor T Cells: Observations from a Recombinant DNA Advisory Committee Symposium Held June 15, 2010[1]

Contributors to the Symposium discussing opinions regarding CAR-T protocol design included some of the prominent members in the field including:

Drs. Hildegund C.J. Ertl, John Zaia, Steven A. Rosenberg, Carl H. June, Gianpietro Dotti, Jeffrey Kahn, Laurence J. N. Cooper, Jacqueline Corrigan-Curay, And Scott E. Strome.

The discussions from the Symposium, reported in Cancer Research[1]. were presented in three parts:

  1. Summary of the Evolution of the CAR therapy
  2. Points for Future Consideration including adverse event reporting
  3. Considerations for Design and Implementation of Trials including mitigating toxicities and risks

1. Evolution of Chimeric Antigen Receptors

Early evidence had suggested that adoptive transfer of tumor-infiltrating lymphocytes, after depletion of circulating lymphocytes, could result in a clinical response in some tumor patients however developments showed autologous T-cells (obtained from same patient) could be engineered to express tumor-associated antigens (TAA) and replace the TILS in the clinical setting.

However there were some problems noticed.

  • Problem: HLA restriction of T-cells. Solution: genetically engineer T-cells to redirect T-cell specificity to surface TAAs
  • Problem: 1st generation vectors designed to engineer T-cells to recognize surface epitopes but engineered cells had limited survival in patients.   Solution: development of 2nd generation vectors with co-stimulatory molecules such as CD28, CD19 to improve survival and proliferation in patients

A summary table of limitations of the two types of genetically-modified T-cell therapies were given and given (in modified form) below

                                                                                                Type of Gene-modified T-Cell

Limitations aβ TCR CAR
Affected by loss or decrease of HLA on tumor cells yes no
Affected by altered tumor cell antigen processing? yes no
Need to have defined tumor target antigen? no yes
Vector recombination with endogenous TCR yes no

A brief history of construction of 2nd and 3rd generation CAR-T cells given by cancer.gov:

http://www.cancer.gov/cancertopics/research-updates/2013/CAR-T-Cells

cartdiagrampic

Differences between  second- and third-generation chimeric antigen receptor T cells. (Adapted by permission from the American Association for Cancer Research: Lee, DW et al. The Future Is Now: Chimeric Antigen Receptors as New Targeted Therapies for Childhood Cancer. Clin Cancer Res; 2012;18(10); 2780–90. doi:10.1158/1078-0432.CCR-11-1920)

Constructing a CAR T Cell (from cancer.gov)

The first efforts to engineer T cells to be used as a cancer treatment began in the early 1990s. Since then, researchers have learned how to produce T cells that express chimeric antigen receptors (CARs) that recognize specific targets on cancer cells.

The T cells are genetically modified to produce these receptors. To do this, researchers use viral vectors that are stripped of their ability to cause illness but that retain the capacity to integrate into cells’ DNA to deliver the genetic material needed to produce the T-cell receptors.

The second- and third-generation CARs typically consist of a piece of monoclonal antibody, called a single-chain variable fragment (scFv), that resides on the outside of the T-cell membrane and is linked to stimulatory molecules (Co-stim 1 and Co-stim 2) inside the T cell. The scFv portion guides the cell to its target antigen. Once the T cell binds to its target antigen, the stimulatory molecules provide the necessary signals for the T cell to become fully active. In this fully active state, the T cells can more effectively proliferate and attack cancer cells.

2. Adverse Event Reporting and Protocol Considerations

The symposium had been organized mainly in response to two reported deaths of patients enrolled in a CART trial, so that clinical investigators could discuss and formulate best practices for the proper conduct and analysis of such trials. One issue raised was lack of pharmacovigilence procedures (adverse event reporting). Although no pharmacovigilence procedures (either intra or inter-institutional) were devised from meeting proceedings, it was stressed that each institution should address this issue as well as better clinical outcome reporting.

Case Report of a Serious Adverse Event Following the Administration of T Cells Transduced With a Chimeric Antigen Receptor Recognizing ERBB2[2] had reported the death of a patient on trial.

In A phase I clinical trial of adoptive transfer of folate receptor-alpha redirected autologous T cells for recurrent ovarian cancer[3] authors: Lana E Kandalaft*, Daniel J Powell and George Coukos from University of Pennsylvania recorded adverse events in pilot studies using a CART modified to recognize the folate receptor, so it appears any adverse event reporting system is at the discretion of the primary investigator.

Other protocol considerations suggested by the symposium attendants included:

  • Plan for translational clinical lab for routine blood analysis
  • Subject screening for pulmonary and cardiac events
  • Determine possibility of insertional mutagenesis
  • Informed consent
  • Analysis of non T and T-cell subsets, e.g. natural killer cells and CD*8 cells

3. Consideration for Design of Trials and Mitigating Toxicities

  • Early Toxic effectsCytokine Release Syndrome– The effectiveness of CART therapy has been manifested by release of high levels of cytokines resulting in fever and inflammatory sequelae. One such cytokine, interleukin 6, has been attributed to this side effect and investigators have successfully used an IL6 receptor antagonist, tocilizumab (Acterma™), to alleviate symptoms of cytokine release syndrome (see review Adoptive T-cell therapy: adverse events and safety switches by Siok-Keen Tey).

 

Below is a video form Dr. Renier Brentjens, M.D., Ph.D. for Memorial Sloan Kettering concerning the finding he made that the adverse event from cytokine release syndrome may be a function of the tumor cell load, and if they treat the patient with CAR-T right after salvage chemotherapy the adverse events are alleviated..

Please see video below:

http link: https://www.youtube.com/watch?v=4Gg6elUMIVE

  • Early Toxic effects – Over-activation of CAR T-cells; mitigation by dose escalation strategy (as authors in reference [3] proposed). Most trials give billions of genetically modified cells to a patient.
  • Late Toxic Effectslong-term depletion of B-cells . For example CART directing against CD19 or CD20 on B cells may deplete the normal population of CD19 or CD20 B-cells over time; possibly managed by IgG supplementation

Below is a curation of various examples of the need for developing a Pharmacovigilence Framework for Engineered T-Cell Therapies

As shown above the first reported side effects from engineered T-cell or CAR-T therapies stemmed from the first human trial occuring at University of Pennsylvania, the developers of the first CAR-T therapy.  The clinical investigators however anticipated the issue of a potential cytokine storm and had developed ideas in the pre-trial phase of how to ameliorate such toxicity using anti-cytokine antibodies.  However, until the trial was underway they were unsure of which cytokines would be prominent in causing a cytokine storm effect from the CAR-T therapy.  Fortunately, the investigators were able to save patient 1 (described here in other posts) using anti-IL1 and 10 antibodies.  

 

Over the years, however, multiple trials had to be discontinued as shown below in the following posts:

What does this mean for Immunotherapy? FDA put a temporary hold on Juno’s JCAR015, Three Death of Celebral Edema in CAR-T Clinical Trial and Kite Pharma announced Phase II portion of its CAR-T ZUMA-1 trial

The NIH has put a crimp in the clinical trial work of Steven Rosenberg, Kite Pharma’s star collaborator at the National Cancer Institute. The feds slammed the brakes on the production of experimental drugs at two of its facilities–including cell therapies that Rosenberg works with–after an internal inspection found they weren’t in compliance with safety and quality regulations.

In this instance Kite was being cited for manufacturing issues, apparantly fungal contamination in their cell therapy manufacturing facility.  However shortly after other CAR-T developers were having tragic deaths in their initial phase 1 safety studies.

Juno Halts Cancer Trial Using Gene-Altered Cells After 3 Deaths

 

Juno halts its immunotherapy trial for cancer after three patient deaths

By DAMIAN GARDE @damiangarde and MEGHANA KESHAVAN @megkesh

JULY 7, 2016

In Juno patient deaths, echoes seen of earlier failed company

By SHARON BEGLEY @sxbegle

JULY 8, 2016

https://www.statnews.com/2016/07/08/juno-echoes-of-dendreon/

After a deadly clinical trial, will immune therapies for cancer be a bust?

By DAMIAN GARDE @damiangarde

JULY 8, 2016

This led to warnings by FDA and alteration of their trials as well as the use of their CART as a monotherapy

Hours after Juno CAR-T study deaths announced, Kite enrolls CAR-T PhII

Well That Was Quick! FDA Lets Juno Restart Trial With a New Combination Chemotherapuetic

 at Seattle Times

FDA lets Juno restart cancer-treatment trial

Certainly with so many issues there would seem to be more rigorous work to either establish a pharmacovigilence framework or to develop alternative engineered T cells with a safer profile

However here we went again

New paper sheds fresh light on Tmunity’s high-profile CAR-T deaths
Jason Mast
Editor
The industry-wide effort to push CAR-T therapies — wildly effective in several blood cancers — into solid tumors took a hit last year when Tmunity, a biotech founded by CAR-T pioneer Carl June and backed by several blue-chip VCs, announced it shut down its lead program for prostate cancer after two patients died.

On a personal note this trial was announced in a Bio International meeting here in Philadelphia a few years ago in 2019

see Live Conference Coverage on this site

eProceedings for BIO 2019 International Convention, June 3-6, 2019 Philadelphia Convention Center; Philadelphia PA, Real Time Coverage by Stephen J. Williams, PhD @StephenJWillia2

and the indication was for prostate cancer, in particular hormone resistant castration resistant.  Another one was planned for pancreatic cancer from the same group and the early indications were favorable.

From Onclive

Source: https://www.onclive.com/view/car-t-cell-therapy-trial-in-solid-tumors-halted-following-2-patient-deaths 

Tmunity Therapeutics, a clinical-stage biotherapeutics company, has halted the development of its lead CAR T-cell product following the deaths of 2 patients who were enrolled to a trial investigating its use in solid tumors.1

The patients reportedly died from immune effector cell-associated neurotoxicity syndrome (ICANS), which is a known adverse effect associated with CAR T-cell therapies.

“What we are discovering is that the cytokine profiles we see in solid tumors are completely different from hematologic cancers,” Oz Azam, co-founder of Tmunity said in an interview with Endpoints News. “We observed ICANS. And we had 2 patient deaths as a result of that. We navigated the first event and obviously saw the second event, and as a result of that we have shut down the version one of that program and pivoted quickly to our second generation.”

Previously, with first-generation CAR T-cell therapies in patients with blood cancers, investigators were presented with the challenge of overcoming cytokine release syndrome. Now ICANS, or macrophage activation, is proving to have deadly effects in the realm of solid tumors. Carl June, the other co-founder of Tmunity, noted that investigators will now need to dedicate their efforts to engineering around this, as had been done with tocilizumab (Actemra) in 2012.

The company is dedicated to the development of novel approaches that produce best-in-class control over T-cell activation and direction in the body.2 The product examined in the trial was developed to utilize engineered patient cells to target prostate-specific membrane antigen; it was also designed to use a dominant TGFβ receptor to block an important checkpoint involved in cancer.

Twenty-four patients were recruited for the dose-escalating study and the company plans to release data from high-dose cohorts later in 2021.

“We are going to present all of this in a peer-reviewed publication because we want to share this with the field,” Azam said. “Because everything we’ve encountered, no matter what…people are going to encounter this when they get into the clinic, and I don’t think they’ve really understood yet because so many are preclinical companies that are not in the clinic with solid tumors. And the rubber meets the road when you get in the clinic, because the ultimate in vivo model is the human model.”

Azam added that the company plans to develop a new investigational new drug for version 2, which they hope will result in a safer product.

References

  1. Carroll J. Exclusive: Carl June’s Tmunity encounters a lethal roadblock as 2 patient deaths derail lead trial, raise red flag forcing rethink of CAR-T for solid tumors. Endpoints News. June 2, 2021. Accessed June 3, 2021. https://bit.ly/3wPYWm0
  2. Research and Development. Tmunity Therapeutics website. Accessed June 3, 2021. https://bit.ly/3fOH3OR

Forward to 2022

Reprogramming a new type of T cell to go after cancers with less side effects, longer impact

A Sloan Kettering Institute research team thinks new, killer, innate-like T cells could make promising candidates to treat cancers that so far haven’t responded to immunotherapy treatments. (koto_feja)

Immunotherapy is one of the more appealing and effective kinds of cancer treatment when it works, but the relatively new approach is still fairly limited in the kinds of cancer it can be used for. Researchers at the Sloan Kettering Institute have discovered a new kind of immune cell and how it could be used to expand the reach of immunotherapy treatments to a much wider pool of patients.

The cells in question are called killer innate-like T cells, a threatening name for a potentially lifesaving innovation. Unlike normal killer T cells, killer innate-like T cells stay active much longer and can burrow further into potentially cancerous tissue to attack tumors. The research team first reported these cells in 2016, but it’s only recently that they were able to properly understand and identify them.

“We think these killer innate-like T cells could be targeted or genetically engineered for cancer therapy,” said the study’s lead author, Ming Li, Ph.D., in a press release. “They may be better at reaching and killing solid tumors than conventional T cells.”

Below is the referenced paper from Pubmed:

Evaluation of the safety and efficacy of humanized anti-CD19 chimeric antigen receptor T-cell therapy in older patients with relapsed/refractory diffuse large B-cell lymphoma based on the comprehensive geriatric assessment system

Affiliations 

Abstract

Anti-CD19 chimeric antigen receptor (CAR) T-cell therapy has led to unprecedented results to date in relapsed/refractory (R/R) diffuse large B-cell lymphoma (DLBCL), yet its clinical application in elderly patients with R/R DLBCL remains somewhat limited. In this study, a total of 31 R/R DLBCL patients older than 65 years of age were enrolled and received humanized anti-CD19 CAR T-cell therapy. Patients were stratified into a fit, unfit, or frail group according to the comprehensive geriatric assessment (CGA). The fit group had a higher objective response (OR) rate (ORR) and complete response (CR) rate than that of the unfit/frail group, but there was no difference in the part response (PR) rate between the groups. The unfit/frail group was more likely to experience AEs than the fit group. The peak proportion of anti-CD19 CAR T-cells in the fit group was significantly higher than that of the unfit/frail group. The CGA can be used to effectively predict the treatment response, adverse events, and long-term survival.

Introduction

Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma (NHL), accounting for 30–40% of cases, with the median age of onset being older than 65 years [1]. Although the five-year survival rate for patients with DLBCL has risen to more than 60% with the application of standardized treatments and hematopoietic stem cell transplantation, nearly half of patients progress to relapsed/refractory (R/R) DLBCL. Patients with R/R DLBCL, especially elderly individuals, have a poor prognosis [2,3], so new treatments are needed to prolong survival and improve the prognosis of this population.

As a revolutionary immunotherapy therapy, anti-CD19 chimeric antigen receptor (CAR) T-cell therapy has achieved unprecedented results in hematological tumors [4]. As CD19 is expressed on the surface of most B-cell malignant tumors but not on pluripotent bone marrow stem cells, CD19 has been used as a target for B-cell malignancies, including B-cell acute lymphoblastic leukemia, NHL, multiple myeloma, and chronic lymphocytic leukemia [5]. Despite the wide application and high efficacy of anti-CD19 CAR T-cell therapy, reports of adverse events (AEs) such as cytokine release syndrome (CRS) and immune effector cell-associated neurotoxic syndrome (ICANS) have influenced its use [6]. Especially in elderly patients, AEs associated with anti-CD19 CAR T-cell therapy might be more obvious.

Although anti-CD19 CAR T-cell therapy has been reported in the treatment of NHL, including R/R DLBCL, few studies to date have assessed the safety of anti-CD19 CAR T-cell therapy in elderly R/R DLBCL patients, and its clinical application in the elderly R/R DLBCL population is limited. In ZUMA-1 [7] to R/R DLBCL patients who received CAR T-cell therapy, the CR rate in patients ≥65 years was higher than that of in patients <65 years (75% vs. 53%). Lin et al. [8] reported 49 R/R DLBCL patients (24 patients >65 years, 25 patients <65 years) who received CAR T-cell therapy with a median follow-up of 179 days. The CR rate at 100 days was 51%, while the 6-month progression-free survival (PFS) and overall survival (OS) were 48% and 71%, respectively. Neither of the two studies carried out a comprehensive geriatric assessment (CGA) of fit, unfit, and frail groups of R/R DLBCL patients over 65 years of age and further analyzed the differences in efficacy and side effects in the three groups. The CGA is an effective system designed to evaluate the prognosis and improve the survival of elderly patients with cancer. The CGA system includes age, activities of daily living (ADL), instrumental ADL (IADL), and the Cumulative Illness Rating Score for Geriatrics (CIRS-G) [9].

In this study, elderly R/R DLBCL patients were grouped according to their CGA results (fit vs. unfit/frail) before receiving humanized anti-CD19 CAR T-cell therapy. We then analyzed the efficacy and AEs of anti-CD19 CAR T-cell therapy and compared findings between these groups.

 

Well it appears that the discriminator was only fitness going into the trial  a bit odd that the whole field appears to be lacking in development of Safety Biomarkers.

 

 

However Genentech (subsidiary of Roche) may now be using some data to develop therapies which may combat resistance to CART therapies which may provide at least, for now, a toxicokinetic approach to reducing AEs by lowering the amount of CARTs needed to be administered.

 

Source: https://www.fiercebiotech.com/research/genentech-uncovers-how-cancer-cells-resist-t-cell-attack-potential-boon-immunotherapy

Roche’s Genentech is exploring inhibiting ESCRT as an anticancer strategy, said Ira Mellman, Ph.D., Genentech’s vice president of cancer immunology. (Roche)

Cancer cells deploy various tactics to avoid being targeted and killed by the immune system. A research team led by Roche’s Genentech has now identified one such method that cancer cells use to resist T-cell assault by repairing damage.

To destroy their targets, cancer-killing T cells known as cytotoxic T lymphocytes (CTLs) secrete the toxin perforin to form little pores in the target cells’ surface. Another type of toxin called granzymes are delivered directly into the cells through those portals to induce cell death.

By using high-res imaging in live cells, the Genentech-led team found that the membrane damage caused by perforin could trigger a repair response. The tumor cells could recruit endosomal sorting complexes required for transport (ESCRT) proteins to remove the lesions, thereby preventing granzymes from entering, the team showed in a new study published in Science.

The following is the Science paper

Membrane repair in target cell defenses

Killer T cells destroy virus-infected and cancer cells by secreting two protein toxins that act as a powerful one-two punch. Pore-forming toxins, perforins, form holes in the plasma membrane of the target cell. Cytotoxic proteins released by T cells then pass through these portals, inducing target cell death. Ritter et al. combined high-resolution imaging data with functional analysis to demonstrate that tumor-derived cells fight back (see the Perspective by Andrews). Protein complexes of the ESCRT family were able to repair perforin holes in target cells, thereby delaying or preventing T cell–induced killing. ESCRT-mediated membrane repair may thus provide a mechanism of resistance to immune attack. —SMH

Abstract

Cytotoxic T lymphocytes (CTLs) and natural killer cells kill virus-infected and tumor cells through the polarized release of perforin and granzymes. Perforin is a pore-forming toxin that creates a lesion in the plasma membrane of the target cell through which granzymes enter the cytosol and initiate apoptosis. Endosomal sorting complexes required for transport (ESCRT) proteins are involved in the repair of small membrane wounds. We found that ESCRT proteins were precisely recruited in target cells to sites of CTL engagement immediately after perforin release. Inhibition of ESCRT machinery in cancer-derived cells enhanced their susceptibility to CTL-mediated killing. Thus, repair of perforin pores by ESCRT machinery limits granzyme entry into the cytosol, potentially enabling target cells to resist cytolytic attack.
Cytotoxic lymphocytes, including cytotoxic T lymphocytes (CTLs) and natural killer (NK) cells, are responsible for identifying and destroying virus-infected or tumorigenic cells. To kill their targets, CTLs and NK cells secrete a pore-forming toxin called perforin through which apoptosis-inducing serine proteases (granzymes) are delivered directly into the cytosol. Successful killing of target cells often requires multiple hits from single or multiple T cells (1). This has led to the idea that cytotoxicity is additive, often requiring multiple rounds of sublethal lytic granule secretion events before a sufficient threshold of cytosolic granzyme activity is reached to initiate apoptosis in the target (2).
Loss of plasma membrane integrity induced by cytolytic proteins or mechanical damage leads to a membrane repair response. Damage results in an influx of extracellular Ca2+, which has been proposed to lead to the removal of the membrane lesion by endocytosis, resealing of the lesions by lysosomal secretion, or budding into extracellular vesicles (3). Perforin pore formation was initially reported to enhance endocytosis of perforin (4), but subsequent work has challenged this claim (5). Endosomal sorting complexes required for transport (ESCRT) proteins can repair small wounds and pores in the plasma membrane caused by bacterial pore-forming toxins, mechanical wounding, and laser ablation (67). ESCRT proteins are transiently recruited to sites of membrane damage in a Ca2+-dependent fashion, where they assemble budding structures that shed to eliminate the wound and restore plasma membrane integrity. ESCRT-dependent membrane repair has been implicated in the resealing of endogenous pore-mediated plasma membrane damage during necroptosis (8) and pyroptosis (9).

Localization of target-derived ESCRT proteins to the cytolytic synapse

To investigate whether ESCRT-mediated membrane repair might be involved in the removal of perforin pores during T cell killing, we first determined whether ESCRT proteins in cancer-derived cells were recruited to sites of CTL engagement after perforin secretion. We used CTLs from OT-I mice that express a high-affinity T cell receptor (TCR) that recognizes the ovalbumin peptide SIINFEKL (OVA257-264) bound to the major histocompatibility complex (MHC) allele H-2Kb (10). We performed live-cell microscopy of OT-I CTLs engaging SIINFEKL-pulsed target cells that express enhanced green fluorescent protein (EGFP)–tagged versions of Tsg101 or Chmp4b, two ESCRT proteins implicated in membrane repair (6). To correlate recruitment of ESCRT proteins with perforin exposure in time, we monitored CTL-target interaction in media with a high concentration of propidium iodide (PI), a cell-impermeable fluorogenic dye that can rapidly diffuse through perforin pores to bind and illuminate nucleic acids in the cytosol and nucleus of the target (5). EGFP-tagged ESCRT proteins were consistently recruited to the site of CTL engagement within 30 to 60 s after PI influx (Fig. 1, A and B). EGFP-Tsg101 and EGFP-Chmp4b in target cells accumulated at the cytolytic synapse after PI influx in 25 of 27 (92.6%) and 31 of 33 (93.9%) of conjugates monitored, respectively, compared with a cytosolic EGFP control, which was not recruited (Fig. 1C and movies S1 to S3). Notably, ESCRT-laden material, presumably membrane fragments, frequently detached from the target cell and adhered to the surface of the CTL (Fig. 1, D and E, and movie S2). We observed this phenomenon in ~60% of conjugates imaged in which targets expressed EGFP-Tsg101 or EGFP-Chmp4b (17 of 27 and 20 of 33 conjugates, respectively; Fig. 1D). Shedding of ESCRT-positive membrane from the cell after repair occurs after laser-induced plasma membrane wounding (67). Plasma membrane fragments shed from the target cell into the synaptic cleft likely contain ligands for CTL-resident receptors. Target cell death would separate the CTL and target, revealing target-derived material on the CTL surface.
FIG. 1. Fluorescently tagged ESCRT proteins in targets localize to site of CTL killing after perforin secretion.
(A) Live-cell spinning disk confocal imaging of a fluorescently labeled OT-I CTL (magenta) engaging an MC38 cancer cell expressing EGFP-Tsg101 (green) in media containing 100 μM PI (red). Yellow arrowheads highlight ESCRT recruitment. T-0:00 is the first frame of PI influx into the target cell (time in minutes:seconds). Scale bar, 10 μm. (B) Graph of EGFP-Tsg101 and PI fluorescence intensity at the IS within the target over time, from example in (A). AU, arbitrary units. (C and D) Quantification of CTL-target conjugates exhibiting accumulation of EGFP at the synapse after PI influx (C) or detectable EGFP-labeled material associated with CTL after target interaction (D) (EGFP condition: N = 22 conjugates in seven independent experiments; EGFP-Tsg101 condition: N = 27 conjugates in nine independent experiments; EGFP-Chmp4b condition: N = 33 conjugates in 24 independent experiments). (E) Live-cell spinning disk confocal imaging of OT-I CTL (magenta) killing MC38 expressing EGFP-Chmp4b (green), demonstrating the presence of target-derived EGFP-Chmp4b material (yellow arrowheads) associated with CTL membrane after a productive target encounter. T-0:00 is the first frame of PI influx into the target cell. Scale bar, 10 μm.
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3D cryo-SIM and FIB-SEM imaging of CTLs caught in the act of killing target cells

Although live-cell imaging indicated that ESCRT complexes were rapidly recruited at sites of T cell–target cell contact, light microscopy alone is of insufficient resolution to establish that this event occurred at the immunological synapse (IS). We thus sought to capture a comprehensive view of the IS in the moments immediately after secretion of lytic granules. We used cryo–fluorescence imaging followed by correlative focused ion beam–scanning electron microscopy (FIB-SEM), which can achieve isotropic three-dimensional (3D) imaging of whole cells at 8-nm resolution or better (1113). To capture the immediate response of target cells after perforin exposure, we developed a strategy whereby cryo-fixed CTL-target conjugates were selected shortly after perforation, indicated by the presence of a PI gradient in the target (fig. S1A). In live-cell imaging experiments, PI fluorescence across the nucleus of SIINFEKL-pulsed ID8 target cells began as a gradient and became homogeneous 158 ± 64 s, on average, after initial PI influx (N = 31 conjugates; fig. S1, B and C, and movie S4). Thus, fixed CTL-target conjugates that exhibited a gradient of PI across the nucleus would have been captured within ~3 min of perforin exposure.
Coverslips of CTL-target conjugates underwent high-pressure freezing and were subsequently imaged with wide-field cryogenic fluorescence microscopy followed by 3D cryo–structured illumination microscopy (3D cryo-SIM) performed in a customized optical cryostat (14). We selected candidate conjugates for FIB-SEM imaging on the basis of whether a gradient of PI fluorescence was observed across the nucleus of the target emanating from an attached CTL (movie S5). FIB-SEM imaging of the CTL-target conjugate at 8-nm isotropic voxels resulted in a stack of >10,000 individual electron microscopy (EM) images. The image stack was then annotated using a human-assisted machine learning–computer vision platform to segment the plasma membranes of each cell along with cell nuclei and various organelles (https://ariadne.ai/).
We captured four isotropic 3D 8-nm-resolution EM datasets of CTLs killing cancer cells moments after the secretion of lytic granule contents (Fig. 2A and movie S6). Semiautomated segmentation of the cell membranes, nuclei, lytic granules, Golgi apparatus, mitochondria, and centrosomes of the T cells allow for easier visualization and analysis of the 3D EM data. All FIB-SEM datasets and segmentations can be explored online at https://openorganelle.janelia.org (see links in the supplementary materials). Reconstructed views of the segmented data clearly demonstrate the polarization of the centrosome, Golgi apparatus, and lytic granules to the IS—all of which are hallmarks of CTL killing [Fig. 2A, i to iii, and movie S6, time stamp (TS) 1:33] (1516). On the target cell side, we noted cytoplasmic alterations consistent with cell damage including enhanced electron density of mitochondria adjacent to the IS (fig. S2A). Close visual scanning of the postsynaptic target cell membrane in the raw EM data failed to reveal obvious perforin pores, which have diameters (16 to 22 nm) close to the limit of resolution for this technique (17).
FIG. 2. Eight-nm-resolution 3D FIB-SEM imaging of whole CTL-target conjugate.
(A) 3D rendering of segmented plasma membrane predictions derived from isotropic 8-nm-resolution FIB-SEM imaging of a high-pressure frozen OT-I CTL (red) captured moments after secretion of lytic granules toward a peptide-pulsed ID8 ovarian cancer cell (blue). (i) Side-on sliced view corresponding to the gray horizontal line within the inset box in (A). Seen here are 3D renderings of the segmented plasma membrane of the cancer cell (blue) as well as the CTL plasma membrane (red), centrosome (gold), Golgi apparatus (cyan), lytic granules (purple), mitochondria (green), and nucleus (gray). (ii and iii) A zoomed-in view from the dashed white box in (i) shows the details of the IS (ii) and a single corresponding FIB-SEM slice docked onto the segmented data (iii). (B) Single top-down FIB-SEM slice showing overlaid target cell (blue) and CTL (red) segmentation. (i) Zoomed-in view from dashed white box in (B) details the intercellular material (IM) (gray) between the CTL and target at the IS. (C) Zoomed-in image of a 3D rendering of the surface of the target cell plasma membrane (white) opposite the intercellular material (IM) at the IS. Yellow arrowheads mark plasma membrane buds protruding into the synaptic cleft. (i and ii) Accompanying images demonstrate the orientation of the view in (C) with the rendering of the CTL (red) present (i) and removed (ii), and the dashed yellow box in (ii) indicates the area of detail shown in (C).
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The segmentation of the two cells illustrates the detailed topography of the plasma membrane of the CTL and target at the IS (fig. S2B). The raw EM and segmentation data reveal a dense accumulation of particles, vesicles, and multilamellar membranous materials, which crowd the synaptic cleft between the CTL and the target (Fig. 2B and movie S6, TS 0:40 to 0:50). The source of this intercellular material (IM) was likely in part the lytic granules because close inspection revealed similar particles and dense vesicles located within as-yet-unreleased granules (fig. S2C). To determine whether some of the membranous material within the intercellular space might also have been derived from the target cell, we examined the surface topology of the postsynaptic target cell. We noted multiple tubular and bud-like protrusions of the target cell membrane that extended into the synaptic space; thus, at least some of the membrane structures observed were still in continuity with the target cell (Fig. 2C and movie S6, TS 0:58 to 1:11). ESCRT proteins have been shown to generate budding structures in the context of plasma membrane repair (6), which led us to next assess where target-derived ESCRT proteins are distributed in the context of the postsecretion IS.
To map the localization of target-derived ESCRT proteins onto a high-resolution landscape of the IS, we captured three FIB-SEM datasets that have associated 3D cryo-SIM fluorescence data for mEmerald-Chmp4b localization (Fig. 3A, fig. S3, and movie S7). This correlative light and electron microscopy (CLEM) revealed that mEmerald-Chmp4b expressed in the target cell was specifically recruited to the target plasma membrane opposite the secreted IM (Fig. 3, B and C). The topography of the plasma membrane at the site of ESCRT recruitment was markedly convoluted, exhibiting many bud-like projections (movie S7, TS 0:37 to 0:40). mEmerald-Chmp4b fluorescence also overlapped with some vesicular structures in the intercellular synaptic space (Fig. 3C). Together, the live-cell imaging and the 3D cryo-SIM and FIB-SEM CLEM demonstrate the localization of ESCRT proteins at the synapse that was the definitive site of CTL killing and was thus spatially and temporally correlated to perforin secretion. These data implicate the ESCRT complex in the repair of perforin pores.
FIG. 3. Correlative 3D cryo-SIM and FIB-SEM reveal localization of target-derived ESCRT within the cytolytic IS.
(A) Three example datasets showing correlative 3D cryo-SIM and FIB-SEM imaging of OT-I CTLs (red) captured moments after secretion of lytic granules toward peptide-pulsed ID8 cancer cells (blue) expressing mEmerald-Chmp4b (green fluorescence). (B and C) Single FIB-SEM slices corresponding to the orange boxes in (A), overlaid with CTL and cancer cell segmentation (B) or correlative cryo-SIM fluorescence of mEmerald-Chmp4b derived from the target cell (C).
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Function of ESCRT proteins in repair of perforin pores

We next investigated whether ESCRT inhibition could enhance the susceptibility of target cells to CTL-mediated killing. Prolonged inactivation of the ESCRT pathway is itself cytotoxic (9). We thus developed strategies to ablate ESCRT function that would allow us a window of time to assess CTL killing (fig. S4). We used two approaches to block ESCRT function: CRISPR knockout of the Chmp4b gene or overexpression of VPS4aE228Q (E228Q, Glu228 → Gln), a dominant-negative kinase allele that impairs ESCRT function (fig. S4, A to C) (10). We took care to complete our assessment of target killing well in advance of spontaneous target cell death (fig. S4D).
We tested the capacity of OT-I CTLs to kill targets presenting one of four previously characterized peptides that demonstrate a range of potencies at stimulating the OT-I TCR: SIINFEKL (N4), the cognate peptide, and three separate variants (in order of highest to lowest affinity), SIITFEKL (T4), SIIQFEHL (Q4H7), and SIIGFEKL (G4) (1819). Target cells were pulsed with peptide, washed, transferred to 96-well plates, and allowed to adhere before the addition of OT-I CTLs. Killing was assessed by monitoring the uptake of a fluorogenic caspase 3/7 indicator (Fig. 4, A to D, and fig. S5A). Killing was significantly more efficient in ESCRT-inhibited target cells for both CRISPR depletion of Chmp4b (Fig. 4, A to C) and expression of the dominant-negative VPS4aE228Q (Fig. 4D). The difference in killing between the ESCRT-inhibited and control cells was greater when the lower-potency T4, Q4H7, and G4 peptides were used. Nevertheless, ESCRT inhibition moderately improved killing efficiency even in the case of the high-potency SIINFEKL peptide. ESCRT inhibition had no effect on MHC class I expression on the surface of target cells (fig. S5B). Thus, ESCRT inhibition could sensitize target cells to perforin- and granzyme-mediated killing, especially at physiologically relevant TCR-peptide MHC affinities.
FIG. 4. ESCRT inhibition enhances susceptibility of cancer cells to CTL killing and recombinant lytic proteins.
(A) Representative time-lapse data of killing of peptide-pulsed Chmp4b knockout (KO) or control B16-F10 cells by OT-I CTLs. Affinity of the pulsed peptide to OT-I TCR decreases from left to right. Error bars indicate SDs. (B) Images extracted from T4 medium-affinity peptide condition show software-detected caspase 3/7+ events in control and Chmp4b KO conditions. (C and D) Data representing the 4-hour time point of assays measuring OT-I T cells killing either Chmp4b KO (C) or VPS4 dominant-negative (D) target cells with matched controls. Error bars indicate SDs of data. Data are representative of at least three independent experimental replicates. pMHC, peptide-MHC; HA, hemagglutinin. (E and F) Determination of sublytic dose of Prf. B16-F10 cells expressing VPS4a (WT or E228Q) were exposed to increasing concentrations of Prf. Cell viability was determined by morphological gating (E). FSC, forward scatter; SSC, side scatter. (G and H) B16-F10 cells expressing VPS4a (WT or E228Q) were exposed to a sublytic dose of Prf in combination with increasing concentrations of recombinant GZMB (rGZMB). Cell death was determined by Annexin V–allophycocyanin (APC) staining (G). Controls include a condition with no perforin and 5000 ng/ml rGZMB and sublytic perforin with no rGZMB. Graphs in (F) and (H) represent the means of three experiments, and error bars indicate SDs. Statistical significance was determined by multiple unpaired t tests with alpha = 0.05. ns, not significant; *P < 0.05; **P < 0.01; ***P < 0.001.
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We next directly tested the effects of ESCRT inhibition when target cells were exposed to both recombinant perforin (Prf) and granzyme B (GZMB), the most potently proapoptotic granzyme in humans and mice (20). Prf alone at high concentrations can lyse cells (4), so we first determined a sublytic Prf concentration that would temporarily permeabilize the plasma membrane but permit the cells to recover. B16-F10 cells expressing either VPS4aWT (WT, wild-type) or VPS4aE228Q were exposed to a range of Prf concentrations in the presence of PI, and cell viability and PI uptake were assessed using flow cytometry. Cells that expressed dominant-negative VPS4aE228Q were more sensitive to Prf alone than ESCRT-competent cells (Fig. 4, E and F). At 160 ng/ml Prf, there was no significant difference in cell viability for either condition. Cells in the live gate that were PI+ had been permeabilized by Prf but recovered. Although the percentage of PI+ live cells was similar under both sets of conditions, the mean fluorescence intensity of PI was higher in live ESCRT-inhibited cells (fig. S6). A delay in plasma membrane resealing could account for this difference.
We reasoned that delaying perforin pore repair might also enhance GZMB uptake into the target. ESCRT-inhibited cells were more sensitive to combined perforin-GZMB when cell death was measured by Annexin V staining (Fig. 4, G and H). Similar results were observed when these experiments were repeated with a murine lymphoma cancer cell line (fig. S7). The observation that ESCRT-inhibited target cells are more sensitive to both CTL-secreted and Prf-GZMB supports the hypothesis that the ESCRT pathway contributes to membrane repair after Prf exposure.
Escaping cell death is one of the hallmarks of cancer. Our findings suggest that ESCRT-mediated membrane repair of perforin pores may restrict accessibility of the target cytosol to CTL-secreted granzyme, thus promoting survival of cancer-derived cells under cytolytic attack. Although other factors may contribute to setting the threshold for target susceptibility to killing, the role of active repair of perforin pores must now be considered as a clear contributing factor.

Acknowledgments

We thank members of the Mellman laboratory for advice, discussion, and reagents; B. Haley for assistance with plasmid construct design; the Genentech FACS Core Facility for technical assistance; S. Van Engelenburg of Denver University for invaluable discussions and guidance; A. Wanner, S. Spaar, and the Ariande AI AG (https://ariadne.ai/) for assistance with FIB-SEM segmentation, CLEM coregistration, data presentation, and rendering; D. Bennett of the Janelia Research Campus for assisting with data upload to https://openorganelle.janelia.org; and the Genentech Postdoctoral Program for support.
Funding: A.T.R. and I.M. are funded by Genentech/Roche. C.S.X., G.S., A.W., D.A., N.I., and H.F.H. are funded by the Howard Hughes Medical Institute (HHMI).

Please look for a Followup Post concerning “Developing a Pharmacovigilence Framework for Engineered T-Cell Therapies”

 

References

  1. Ertl HC, Zaia J, Rosenberg SA, June CH, Dotti G, Kahn J, Cooper LJ, Corrigan-Curay J, Strome SE: Considerations for the clinical application of chimeric antigen receptor T cells: observations from a recombinant DNA Advisory Committee Symposium held June 15, 2010. Cancer research 2011, 71(9):3175-3181.
  2. Morgan RA, Yang JC, Kitano M, Dudley ME, Laurencot CM, Rosenberg SA: Case report of a serious adverse event following the administration of T cells transduced with a chimeric antigen receptor recognizing ERBB2. Molecular therapy : the journal of the American Society of Gene Therapy 2010, 18(4):843-851.
  3. Kandalaft LE, Powell DJ, Jr., Coukos G: A phase I clinical trial of adoptive transfer of folate receptor-alpha redirected autologous T cells for recurrent ovarian cancer. Journal of translational medicine 2012, 10:157.

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Report on Cancer Immunotherapy Market & Clinical Pipeline Insight

New Immunotherapy Could Fight a Range of Cancers

Combined anti-CTLA4 and anti-PD1 immunotherapy shows promising results against advanced melanoma

Molecular Profiling in Cancer Immunotherapy: Debraj GuhaThakurta, PhD

Pancreatic Cancer: Genetics, Genomics and Immunotherapy

$20 million Novartis deal with ‘University of Pennsylvania’ to develop Ultra-Personalized Cancer Immunotherapy

Upcoming Meetings on Cancer Immunogenetics

Tang Prize for 2014: Immunity and Cancer

ipilimumab, a Drug that blocks CTLA-4 Freeing T cells to Attack Tumors @DM Anderson Cancer Center

Juno’s approach eradicated cancer cells in 10 of 12 leukemia patients, indicating potential to transform the standard of care in oncology

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Proteomics, Metabolomics, Signaling Pathways, and Cell Regulation: a Compilation of Articles in the Journal http://pharmaceuticalintelligence.com

Compilation of References by Leaders in Pharmaceutical Business Intelligence in the Journal http://pharmaceuticalintelligence.com about
Proteomics, Metabolomics, Signaling Pathways, and Cell Regulation

Curator: Larry H Bernstein, MD, FCAP

Proteomics

  1. The Human Proteome Map Completed

Reporter and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/08/28/the-human-proteome-map-completed/

  1. Proteomics – The Pathway to Understanding and Decision-making in Medicine

Author and Curator, Larry H Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/06/24/proteomics-the-pathway-to-
understanding-and-decision-making-in-medicine/

3. Advances in Separations Technology for the “OMICs” and Clarification of Therapeutic Targets

Author and Curator, Larry H Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2012/10/22/advances-in-separations-technology-for-the-omics-and-clarification-         of-therapeutic-targets/

  1. Expanding the Genetic Alphabet and Linking the Genome to the Metabolome

Author and Curator, Larry H Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2012/09/24/expanding-the-genetic-alphabet-and-linking-the-genome-to-the-                metabolome/

5. Genomics, Proteomics and standards

Larry H Bernstein, MD, FCAP, Author and Curator

http://pharmaceuticalintelligence.com/2014/07/06/genomics-proteomics-and-standards/

6. Proteins and cellular adaptation to stress

Larry H Bernstein, MD, FCAP, Author and Curator

http://pharmaceuticalintelligence.com/2014/07/08/proteins-and-cellular-adaptation-to-stress/

 

Metabolomics

  1. Extracellular evaluation of intracellular flux in yeast cells

Larry H. Bernstein, MD, FCAP, Reviewer and Curator

http://pharmaceuticalintelligence.com/2014/08/25/extracellular-evaluation-of-intracellular-flux-in-yeast-cells/

  1. Metabolomic analysis of two leukemia cell lines. I.

Larry H. Bernstein, MD, FCAP, Reviewer and Curator

http://pharmaceuticalintelligence.com/2014/08/23/metabolomic-analysis-of-two-leukemia-cell-lines-_i/

  1. Metabolomic analysis of two leukemia cell lines. II.

Larry H. Bernstein, MD, FCAP, Reviewer and Curator

http://pharmaceuticalintelligence.com/2014/08/24/metabolomic-analysis-of-two-leukemia-cell-lines-ii/

  1. Metabolomics, Metabonomics and Functional Nutrition: the next step in nutritional metabolism and biotherapeutics

Reviewer and Curator, Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/08/22/metabolomics-metabonomics-and-functional-nutrition-the-next-step-          in-nutritional-metabolism-and-biotherapeutics/

  1. Buffering of genetic modules involved in tricarboxylic acid cycle metabolism provides homeomeostatic regulation

Larry H. Bernstein, MD, FCAP, Reviewer and curator

http://pharmaceuticalintelligence.com/2014/08/27/buffering-of-genetic-modules-involved-in-tricarboxylic-acid-cycle-              metabolism-provides-homeomeostatic-regulation/

Metabolic Pathways

  1. Pentose Shunt, Electron Transfer, Galactose, more Lipids in brief

Reviewer and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/08/21/pentose-shunt-electron-transfer-galactose-more-lipids-in-brief/

  1. Mitochondria: More than just the “powerhouse of the cell”

Ritu Saxena, PhD

http://pharmaceuticalintelligence.com/2012/07/09/mitochondria-more-than-just-the-powerhouse-of-the-cell/

  1. Mitochondrial fission and fusion: potential therapeutic targets?

Ritu saxena

http://pharmaceuticalintelligence.com/2012/10/31/mitochondrial-fission-and-fusion-potential-therapeutic-target/

4.  Mitochondrial mutation analysis might be “1-step” away

Ritu Saxena

http://pharmaceuticalintelligence.com/2012/08/14/mitochondrial-mutation-analysis-might-be-1-step-away/

  1. Selected References to Signaling and Metabolic Pathways in PharmaceuticalIntelligence.com

Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/08/14/selected-references-to-signaling-and-metabolic-pathways-in-                     leaders-in-pharmaceutical-intelligence/

  1. Metabolic drivers in aggressive brain tumors

Prabodh Kandal, PhD

http://pharmaceuticalintelligence.com/2012/11/11/metabolic-drivers-in-aggressive-brain-tumors/

  1. Metabolite Identification Combining Genetic and Metabolic Information: Genetic association links unknown metabolites to functionally related genes

Writer and Curator, Aviva Lev-Ari, PhD, RD

http://pharmaceuticalintelligence.com/2012/10/22/metabolite-identification-combining-genetic-and-metabolic-                        information-genetic-association-links-unknown-metabolites-to-functionally-related-genes/

  1. Mitochondria: Origin from oxygen free environment, role in aerobic glycolysis, metabolic adaptation

Larry H Bernstein, MD, FCAP, author and curator

http://pharmaceuticalintelligence.com/2012/09/26/mitochondria-origin-from-oxygen-free-environment-role-in-aerobic-            glycolysis-metabolic-adaptation/

  1. Therapeutic Targets for Diabetes and Related Metabolic Disorders

Reporter, Aviva Lev-Ari, PhD, RD

http://pharmaceuticalintelligence.com/2012/08/20/therapeutic-targets-for-diabetes-and-related-metabolic-disorders/

10.  Buffering of genetic modules involved in tricarboxylic acid cycle metabolism provides homeomeostatic regulation

Larry H. Bernstein, MD, FCAP, Reviewer and curator

http://pharmaceuticalintelligence.com/2014/08/27/buffering-of-genetic-modules-involved-in-tricarboxylic-acid-cycle-              metabolism-provides-homeomeostatic-regulation/

11. The multi-step transfer of phosphate bond and hydrogen exchange energy

Larry H. Bernstein, MD, FCAP, Curator:

http://pharmaceuticalintelligence.com/2014/08/19/the-multi-step-transfer-of-phosphate-bond-and-hydrogen-                          exchange-energy/

12. Studies of Respiration Lead to Acetyl CoA

http://pharmaceuticalintelligence.com/2014/08/18/studies-of-respiration-lead-to-acetyl-coa/

13. Lipid Metabolism

Author and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/08/15/lipid-metabolism/

14. Carbohydrate Metabolism

Author and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/08/13/carbohydrate-metabolism/

15. Update on mitochondrial function, respiration, and associated disorders

Larry H. Bernstein, MD, FCAP, Author and Curator

http://pharmaceuticalintelligence.com/2014/07/08/update-on-mitochondrial-function-respiration-and-associated-                   disorders/

16. Prologue to Cancer – e-book Volume One – Where are we in this journey?

Author and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/04/13/prologue-to-cancer-ebook-4-where-are-we-in-this-journey/

17. Introduction – The Evolution of Cancer Therapy and Cancer Research: How We Got Here?

Author and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/04/04/introduction-the-evolution-of-cancer-therapy-and-cancer-research-          how-we-got-here/

18. Inhibition of the Cardiomyocyte-Specific Kinase TNNI3K

Author and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2013/11/01/inhibition-of-the-cardiomyocyte-specific-kinase-tnni3k/

19. The Binding of Oligonucleotides in DNA and 3-D Lattice Structures

Author and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2013/05/15/the-binding-of-oligonucleotides-in-dna-and-3-d-lattice-structures/

20. Mitochondrial Metabolism and Cardiac Function

Author and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2013/04/14/mitochondrial-metabolism-and-cardiac-function/

21. How Methionine Imbalance with Sulfur-Insufficiency Leads to Hyperhomocysteinemia

Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2013/04/04/sulfur-deficiency-leads_to_hyperhomocysteinemia/

22. AMPK Is a Negative Regulator of the Warburg Effect and Suppresses Tumor Growth In Vivo

Author and Curator: Stephen J. Williams, PhD

http://pharmaceuticalintelligence.com/2013/03/12/ampk-is-a-negative-regulator-of-the-warburg-effect-and-suppresses-         tumor-growth-in-vivo/

23. A Second Look at the Transthyretin Nutrition Inflammatory Conundrum

Author and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2012/12/03/a-second-look-at-the-transthyretin-nutrition-inflammatory-                         conundrum/

24. Mitochondrial Damage and Repair under Oxidative Stress

Author and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2012/10/28/mitochondrial-damage-and-repair-under-oxidative-stress/

25. Nitric Oxide and Immune Responses: Part 2

Author and Curator: Aviral Vatsa, PhD, MBBS

http://pharmaceuticalintelligence.com/2012/10/28/nitric-oxide-and-immune-responses-part-2/

26. Overview of Posttranslational Modification (PTM)

Writer and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/07/29/overview-of-posttranslational-modification-ptm/

27. Malnutrition in India, high newborn death rate and stunting of children age under five years

Writer and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/07/15/malnutrition-in-india-high-newborn-death-rate-and-stunting-of-                   children-age-under-five-years/

28. Update on mitochondrial function, respiration, and associated disorders

Writer and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/07/08/update-on-mitochondrial-function-respiration-and-associated-                  disorders/

29. Omega-3 fatty acids, depleting the source, and protein insufficiency in renal disease

Larry H. Bernstein, MD, FCAP, Curator

http://pharmaceuticalintelligence.com/2014/07/06/omega-3-fatty-acids-depleting-the-source-and-protein-insufficiency-         in-renal-disease/

30. Introduction to e-Series A: Cardiovascular Diseases, Volume Four Part 2: Regenerative Medicine

Larry H. Bernstein, MD, FCAP, writer, and Aviva Lev- Ari, PhD, RN

http://pharmaceuticalintelligence.com/2014/04/27/larryhbernintroduction_to_cardiovascular_diseases-                                  translational_medicine-part_2/

31. Epilogue: Envisioning New Insights in Cancer Translational Biology
Series C: e-Books on Cancer & Oncology

Author & Curator: Larry H. Bernstein, MD, FCAP, Series C Content Consultant

http://pharmaceuticalintelligence.com/2014/03/29/epilogue-envisioning-new-insights/

32. Ca2+-Stimulated Exocytosis:  The Role of Calmodulin and Protein Kinase C in Ca2+ Regulation of Hormone                         and Neurotransmitter

Writer and Curator: Larry H Bernstein, MD, FCAP and
Curator and Content Editor: Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/12/23/calmodulin-and-protein-kinase-c-drive-the-ca2-regulation-of-                    hormone-and-neurotransmitter-release-that-triggers-ca2-stimulated-exocy

33. Cardiac Contractility & Myocardial Performance: Therapeutic Implications of Ryanopathy (Calcium Release-                           related Contractile Dysfunction) and Catecholamine Responses

Author, and Content Consultant to e-SERIES A: Cardiovascular Diseases: Justin Pearlman, MD, PhD, FACC
Author and Curator: Larry H Bernstein, MD, FCAP
and Article Curator: Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/08/28/cardiac-contractility-myocardium-performance-ventricular-arrhythmias-      and-non-ischemic-heart-failure-therapeutic-implications-for-cardiomyocyte-ryanopathy-calcium-release-related-                    contractile/

34. Role of Calcium, the Actin Skeleton, and Lipid Structures in Signaling and Cell Motility

Author and Curator: Larry H Bernstein, MD, FCAP Author: Stephen Williams, PhD, and Curator: Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/08/26/role-of-calcium-the-actin-skeleton-and-lipid-structures-in-signaling-and-cell-motility/

35. Identification of Biomarkers that are Related to the Actin Cytoskeleton

Larry H Bernstein, MD, FCAP, Author and Curator

http://pharmaceuticalintelligence.com/2012/12/10/identification-of-biomarkers-that-are-related-to-the-actin-                           cytoskeleton/

36. Advanced Topics in Sepsis and the Cardiovascular System at its End Stage

Author: Larry H Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2013/08/18/advanced-topics-in-Sepsis-and-the-Cardiovascular-System-at-its-              End-Stage/

37. The Delicate Connection: IDO (Indolamine 2, 3 dehydrogenase) and Cancer Immunology

Demet Sag, PhD, Author and Curator

http://pharmaceuticalintelligence.com/2013/08/04/the-delicate-connection-ido-indolamine-2-3-dehydrogenase-and-               immunology/

38. IDO for Commitment of a Life Time: The Origins and Mechanisms of IDO, indolamine 2, 3-dioxygenase

Demet Sag, PhD, Author and Curator

http://pharmaceuticalintelligence.com/2013/08/04/ido-for-commitment-of-a-life-time-the-origins-and-mechanisms-of-             ido-indolamine-2-3-dioxygenase/

39. Confined Indolamine 2, 3 dioxygenase (IDO) Controls the Homeostasis of Immune Responses for Good and Bad

Curator: Demet Sag, PhD, CRA, GCP

http://pharmaceuticalintelligence.com/2013/07/31/confined-indolamine-2-3-dehydrogenase-controls-the-hemostasis-           of-immune-responses-for-good-and-bad/

40. Signaling Pathway that Makes Young Neurons Connect was discovered @ Scripps Research Institute

Reporter: Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/06/26/signaling-pathway-that-makes-young-neurons-connect-was-                     discovered-scripps-research-institute/

41. Naked Mole Rats Cancer-Free

Writer and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2013/06/20/naked-mole-rats-cancer-free/

42. Late Onset of Alzheimer’s Disease and One-carbon Metabolism

Reporter and Curator: Dr. Sudipta Saha, Ph.D.

http://pharmaceuticalintelligence.com/2013/05/06/alzheimers-disease-and-one-carbon-metabolism/

43. Problems of vegetarianism

Reporter and Curator: Dr. Sudipta Saha, Ph.D.

http://pharmaceuticalintelligence.com/2013/04/22/problems-of-vegetarianism/

44.  Amyloidosis with Cardiomyopathy

Writer and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2013/03/31/amyloidosis-with-cardiomyopathy/

45. Liver endoplasmic reticulum stress and hepatosteatosis

Larry H Bernstein, MD, FACP

http://pharmaceuticalintelligence.com/2013/03/10/liver-endoplasmic-reticulum-stress-and-hepatosteatosis/

46. The Molecular Biology of Renal Disorders: Nitric Oxide – Part III

Curator and Author: Larry H Bernstein, MD, FACP

http://pharmaceuticalintelligence.com/2012/11/26/the-molecular-biology-of-renal-disorders/

47. Nitric Oxide Function in Coagulation – Part II

Curator and Author: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2012/11/26/nitric-oxide-function-in-coagulation/

48. Nitric Oxide, Platelets, Endothelium and Hemostasis

Curator and Author: Larry H Bernstein, MD, FACP

http://pharmaceuticalintelligence.com/2012/11/08/nitric-oxide-platelets-endothelium-and-hemostasis/

49. Interaction of Nitric Oxide and Prostacyclin in Vascular Endothelium

Curator and Author: Larry H Bernstein, MD, FACP

http://pharmaceuticalintelligence.com/2012/09/14/interaction-of-nitric-oxide-and-prostacyclin-in-vascular-endothelium/

50. Nitric Oxide and Immune Responses: Part 1

Curator and Author:  Aviral Vatsa PhD, MBBS

http://pharmaceuticalintelligence.com/2012/10/18/nitric-oxide-and-immune-responses-part-1/

51. Nitric Oxide and Immune Responses: Part 2

Curator and Author:  Aviral Vatsa PhD, MBBS

http://pharmaceuticalintelligence.com/2012/10/28/nitric-oxide-and-immune-responses-part-2/

52. Mitochondrial Damage and Repair under Oxidative Stress

Curator and Author: Larry H Bernstein, MD, FACP

http://pharmaceuticalintelligence.com/2012/10/28/mitochondrial-damage-and-repair-under-oxidative-stress/

53. Is the Warburg Effect the cause or the effect of cancer: A 21st Century View?

Curator and Author: Larry H Bernstein, MD, FACP

http://pharmaceuticalintelligence.com/2012/10/17/is-the-warburg-effect-the-cause-or-the-effect-of-cancer-a-21st-                 century-view/

54. Ubiquinin-Proteosome pathway, autophagy, the mitochondrion, proteolysis and cell apoptosis

Curator and Author: Larry H Bernstein, MD, FACP

http://pharmaceuticalintelligence.com/2012/10/30/ubiquinin-proteosome-pathway-autophagy-the-mitochondrion-                  proteolysis-and-cell-apoptosis/

55. Ubiquitin-Proteosome pathway, Autophagy, the Mitochondrion, Proteolysis and Cell Apoptosis: Part III

Curator and Author: Larry H Bernstein, MD, FACP

http://pharmaceuticalintelligence.com/2013/02/14/ubiquinin-proteosome-pathway-autophagy-the-mitochondrion-                   proteolysis-and-cell-apoptosis-reconsidered/

56. Nitric Oxide and iNOS have Key Roles in Kidney Diseases – Part II

Curator and Author: Larry H Bernstein, MD, FACP

http://pharmaceuticalintelligence.com/2012/11/26/nitric-oxide-and-inos-have-key-roles-in-kidney-diseases/

57. New Insights on Nitric Oxide donors – Part IV

Curator and Author: Larry H Bernstein, MD, FACP

http://pharmaceuticalintelligence.com/2012/11/26/new-insights-on-no-donors/

58. Crucial role of Nitric Oxide in Cancer

Curator and Author: Ritu Saxena, Ph.D.

http://pharmaceuticalintelligence.com/2012/10/16/crucial-role-of-nitric-oxide-in-cancer/

59. Nitric Oxide has a ubiquitous role in the regulation of glycolysis -with a concomitant influence on mitochondrial function

Curator and Author: Larry H Bernstein, MD, FACP

http://pharmaceuticalintelligence.com/2012/09/16/nitric-oxide-has-a-ubiquitous-role-in-the-regulation-of-glycolysis-with-         a-concomitant-influence-on-mitochondrial-function/

60. Targeting Mitochondrial-bound Hexokinase for Cancer Therapy

Curator and Author: Ziv Raviv, PhD, RN 04/06/2013

http://pharmaceuticalintelligence.com/2013/04/06/targeting-mitochondrial-bound-hexokinase-for-cancer-therapy/

61. Biochemistry of the Coagulation Cascade and Platelet Aggregation – Part I

Curator and Author: Larry H Bernstein, MD, FACP

http://pharmaceuticalintelligence.com/2012/11/26/biochemistry-of-the-coagulation-cascade-and-platelet-aggregation/

Genomics, Transcriptomics, and Epigenetics

  1. What is the meaning of so many RNAs?

Writer and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/08/06/what-is-the-meaning-of-so-many-rnas/

  1. RNA and the transcription the genetic code

Larry H. Bernstein, MD, FCAP, Writer and Curator

http://pharmaceuticalintelligence.com/2014/08/02/rna-and-the-transcription-of-the-genetic-code/

  1. A Primer on DNA and DNA Replication

Writer and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/07/29/a_primer_on_dna_and_dna_replication/

4. Synthesizing Synthetic Biology: PLOS Collections

Reporter: Aviva Lev-Ari

http://pharmaceuticalintelligence.com/2012/08/17/synthesizing-synthetic-biology-plos-collections/

5. Pathology Emergence in the 21st Century

Author and Curator: Larry Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/08/03/pathology-emergence-in-the-21st-century/

6. RNA and the transcription the genetic code

Writer and Curator, Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/08/02/rna-and-the-transcription-of-the-genetic-code/

7. A Great University engaged in Drug Discovery: University of Pittsburgh

Larry H. Bernstein, MD, FCAP, Reporter and Curator

http://pharmaceuticalintelligence.com/2014/07/15/a-great-university-engaged-in-drug-discovery/

8. microRNA called miRNA-142 involved in the process by which the immature cells in the bone  marrow give                              rise to all the types of blood cells, including immune cells and the oxygen-bearing red blood cells

Aviva Lev-Ari, PhD, RN, Author and Curator

http://pharmaceuticalintelligence.com/2014/07/24/microrna-called-mir-142-involved-in-the-process-by-which-the-                   immature-cells-in-the-bone-marrow-give-rise-to-all-the-types-of-blood-cells-including-immune-cells-and-the-oxygen-             bearing-red-blood-cells/

9. Genes, proteomes, and their interaction

Larry H. Bernstein, MD, FCAP, Writer and Curator

http://pharmaceuticalintelligence.com/2014/07/28/genes-proteomes-and-their-interaction/

10. Regulation of somatic stem cell Function

Larry H. Bernstein, MD, FCAP, Writer and Curator    Aviva Lev-Ari, PhD, RN, Curator

http://pharmaceuticalintelligence.com/2014/07/29/regulation-of-somatic-stem-cell-function/

11. Scientists discover that pluripotency factor NANOG is also active in adult organisms

Larry H. Bernstein, MD, FCAP, Reporter

http://pharmaceuticalintelligence.com/2014/07/10/scientists-discover-that-pluripotency-factor-nanog-is-also-active-in-           adult-organisms/

12. Bzzz! Are fruitflies like us?

Larry H Bernstein, MD, FCAP, Author and Curator

http://pharmaceuticalintelligence.com/2014/07/07/bzzz-are-fruitflies-like-us/

13. Long Non-coding RNAs Can Encode Proteins After All

Larry H Bernstein, MD, FCAP, Reporter

http://pharmaceuticalintelligence.com/2014/06/29/long-non-coding-rnas-can-encode-proteins-after-all/

14. Michael Snyder @Stanford University sequenced the lymphoblastoid transcriptomes and developed an
allele-specific full-length transcriptome

Aviva Lev-Ari, PhD, RN, Author and Curator

http://pharmaceuticalintelligence.com/014/06/23/michael-snyder-stanford-university-sequenced-the-lymphoblastoid-            transcriptomes-and-developed-an-allele-specific-full-length-transcriptome/

15. Commentary on Biomarkers for Genetics and Genomics of Cardiovascular Disease: Views by Larry H                                     Bernstein, MD, FCAP

Author: Larry H Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/07/16/commentary-on-biomarkers-for-genetics-and-genomics-of-                        cardiovascular-disease-views-by-larry-h-bernstein-md-fcap/

16. Observations on Finding the Genetic Links in Common Disease: Whole Genomic Sequencing Studies

Author an curator: Larry H Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2013/05/18/observations-on-finding-the-genetic-links/

17. Silencing Cancers with Synthetic siRNAs

Larry H. Bernstein, MD, FCAP, Reviewer and Curator

http://pharmaceuticalintelligence.com/2013/12/09/silencing-cancers-with-synthetic-sirnas/

18. Cardiometabolic Syndrome and the Genetics of Hypertension: The Neuroendocrine Transcriptome Control Points

Reporter: Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/12/12/cardiometabolic-syndrome-and-the-genetics-of-hypertension-the-neuroendocrine-transcriptome-control-points/

19. Developments in the Genomics and Proteomics of Type 2 Diabetes Mellitus and Treatment Targets

Larry H. Bernstein, MD, FCAP, Reviewer and Curator

http://pharmaceuticalintelligence.com/2013/12/08/developments-in-the-genomics-and-proteomics-of-type-2-diabetes-           mellitus-and-treatment-targets/

20. Loss of normal growth regulation

Larry H Bernstein, MD, FCAP, Curator

http://pharmaceuticalintelligence.com/2014/07/06/loss-of-normal-growth-regulation/

21. CT Angiography & TrueVision™ Metabolomics (Genomic Phenotyping) for new Therapeutic Targets to Atherosclerosis

Reporter: Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/11/15/ct-angiography-truevision-metabolomics-genomic-phenotyping-for-           new-therapeutic-targets-to-atherosclerosis/

22.  CRACKING THE CODE OF HUMAN LIFE: The Birth of BioInformatics & Computational Genomics

Genomics Curator, Larry H Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/08/30/cracking-the-code-of-human-life-the-birth-of-bioinformatics-                      computational-genomics/

23. Big Data in Genomic Medicine

Author and Curator, Larry H Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2012/12/17/big-data-in-genomic-medicine/

24. From Genomics of Microorganisms to Translational Medicine

Author and Curator: Demet Sag, PhD

http://pharmaceuticalintelligence.com/2014/03/20/without-the-past-no-future-but-learn-and-move-genomics-of-                      microorganisms-to-translational-medicine/

25. Summary of Genomics and Medicine: Role in Cardiovascular Diseases

Author and Curator, Larry H Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/01/06/summary-of-genomics-and-medicine-role-in-cardiovascular-diseases/

 26. Genomic Promise for Neurodegenerative Diseases, Dementias, Autism Spectrum, Schizophrenia, and Serious                      Depression

Author and Curator, Larry H Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2013/02/19/genomic-promise-for-neurodegenerative-diseases-dementias-autism-        spectrum-schizophrenia-and-serious-depression/

 27.  BRCA1 a tumour suppressor in breast and ovarian cancer – functions in transcription, ubiquitination and DNA repair

Sudipta Saha, PhD

http://pharmaceuticalintelligence.com/2012/12/04/brca1-a-tumour-suppressor-in-breast-and-ovarian-cancer-functions-         in-transcription-ubiquitination-and-dna-repair/

28. Personalized medicine gearing up to tackle cancer

Ritu Saxena, PhD

http://pharmaceuticalintelligence.com/2013/01/07/personalized-medicine-gearing-up-to-tackle-cancer/

29. Differentiation Therapy – Epigenetics Tackles Solid Tumors

Stephen J Williams, PhD

      http://pharmaceuticalintelligence.com/2013/01/03/differentiation-therapy-epigenetics-tackles-solid-tumors/

30. Mechanism involved in Breast Cancer Cell Growth: Function in Early Detection & Treatment

     Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/01/17/mechanism-involved-in-breast-cancer-cell-growth-function-in-early-          detection-treatment/

31. The Molecular pathology of Breast Cancer Progression

Tilde Barliya, PhD

http://pharmaceuticalintelligence.com/2013/01/10/the-molecular-pathology-of-breast-cancer-progression

32. Gastric Cancer: Whole-genome reconstruction and mutational signatures

Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2012/12/24/gastric-cancer-whole-genome-reconstruction-and-mutational-                   signatures-2/

33. Paradigm Shift in Human Genomics – Predictive Biomarkers and Personalized Medicine –                                                       Part 1 (pharmaceuticalintelligence.com)

Aviva  Lev-Ari, PhD, RN

http://pharmaceuticalntelligence.com/2013/01/13/paradigm-shift-in-human-genomics-predictive-biomarkers-and-personalized-medicine-part-1/

34. LEADERS in Genome Sequencing of Genetic Mutations for Therapeutic Drug Selection in Cancer                                         Personalized Treatment: Part 2

A Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/01/13/leaders-in-genome-sequencing-of-genetic-mutations-for-therapeutic-       drug-selection-in-cancer-personalized-treatment-part-2/

35. Personalized Medicine: An Institute Profile – Coriell Institute for Medical Research: Part 3

Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/01/13/personalized-medicine-an-institute-profile-coriell-institute-for-medical-        research-part-3/

36. Harnessing Personalized Medicine for Cancer Management, Prospects of Prevention and Cure: Opinions of                           Cancer Scientific Leaders @http://pharmaceuticalintelligence.com

Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/01/13/7000/Harnessing_Personalized_Medicine_for_ Cancer_Management-      Prospects_of_Prevention_and_Cure/

37.  GSK for Personalized Medicine using Cancer Drugs needs Alacris systems biology model to determine the in silico
effect of the inhibitor in its “virtual clinical trial”

Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2012/11/14/gsk-for-personalized-medicine-using-cancer-drugs-needs-alacris-             systems-biology-model-to-determine-the-in-silico-effect-of-the-inhibitor-in-its-virtual-clinical-trial/

38. Personalized medicine-based cure for cancer might not be far away

Ritu Saxena, PhD

  http://pharmaceuticalintelligence.com/2012/11/20/personalized-medicine-based-cure-for-cancer-might-not-be-far-away/

39. Human Variome Project: encyclopedic catalog of sequence variants indexed to the human genome sequence

Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2012/11/24/human-variome-project-encyclopedic-catalog-of-sequence-variants-         indexed-to-the-human-genome-sequence/

40. Inspiration From Dr. Maureen Cronin’s Achievements in Applying Genomic Sequencing to Cancer Diagnostics

Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/01/10/inspiration-from-dr-maureen-cronins-achievements-in-applying-                genomic-sequencing-to-cancer-diagnostics/

41. The “Cancer establishments” examined by James Watson, co-discoverer of DNA w/Crick, 4/1953

Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/01/09/the-cancer-establishments-examined-by-james-watson-co-discover-         of-dna-wcrick-41953/

42. What can we expect of tumor therapeutic response?

Author and curator: Larry H Bernstein, MD, FACP

http://pharmaceuticalintelligence.com/2012/12/05/what-can-we-expect-of-tumor-therapeutic-response/

43. Directions for genomics in personalized medicine

Author and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2013/01/27/directions-for-genomics-in-personalized-medicine/

44. How mobile elements in “Junk” DNA promote cancer. Part 1: Transposon-mediated tumorigenesis.

Stephen J Williams, PhD

http://pharmaceuticalintelligence.com/2012/10/31/how-mobile-elements-in-junk-dna-prote-cancer-part1-transposon-            mediated-tumorigenesis/

45. mRNA interference with cancer expression

Author and Curator, Larry H. Bernstein, MD, FCAP

 http://pharmaceuticalintelligence.com/2012/10/26/mrna-interference-with-cancer-expression/

46. Expanding the Genetic Alphabet and linking the genome to the metabolome

Aviva Lev-Ari, PhD, RD

http://pharmaceuticalintelligence.com/2012/09/24/expanding-the-genetic-alphabet-and-linking-the-genome-to-the-               metabolome/

47. Breast Cancer, drug resistance, and biopharmaceutical targets

Author and Curator: Larry H Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2012/09/18/breast-cancer-drug-resistance-and-biopharmaceutical-targets/

48.  Breast Cancer: Genomic profiling to predict Survival: Combination of Histopathology and Gene Expression                            Analysis

Aviva Lev-Ari, PhD, RD

http://pharmaceuticalintelligence.com/2012/12/24/breast-cancer-genomic-profiling-to-predict-survival-combination-of-           histopathology-and-gene-expression-analysis

49. Gastric Cancer: Whole-genome reconstruction and mutational signatures

Aviva  Lev-Ari, PhD, RD

http://pharmaceuticalintelligence.com/2012/12/24/gastric-cancer-whole-genome-reconstruction-and-mutational-                   signatures-2/

50. Genomic Analysis: FLUIDIGM Technology in the Life Science and Agricultural Biotechnology

Aviva Lev-Ari, PhD, RD

http://pharmaceuticalintelligence.com/2012/08/22/genomic-analysis-fluidigm-technology-in-the-life-science-and-                   agricultural-biotechnology/

51. 2013 Genomics: The Era Beyond the Sequencing Human Genome: Francis Collins, Craig Venter, Eric Lander, et al.

Aviva Lev-Ari, PhD, RD

http://pharmaceuticalintelligence.com/2013_Genomics

52. Paradigm Shift in Human Genomics – Predictive Biomarkers and Personalized Medicine – Part 1

Aviva Lev-Ari, PhD, RD

http://pharmaceuticalintelligence.com/Paradigm Shift in Human Genomics_/

Signaling Pathways

  1. Proteins and cellular adaptation to stress

Larry H Bernstein, MD, FCAP, Curator

http://pharmaceuticalintelligence.com/2014/07/08/proteins-and-cellular-adaptation-to-stress/

  1. A Synthesis of the Beauty and Complexity of How We View Cancer:
    Cancer Volume One – Summary

Author and Curator: Larry H. Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2014/03/26/a-synthesis-of-the-beauty-and-complexity-of-how-we-view-cancer/

  1. Recurrent somatic mutations in chromatin-remodeling and ubiquitin ligase complex genes in
    serous endometrial tumors

Sudipta Saha, PhD

http://pharmaceuticalintelligence.com/2012/11/19/recurrent-somatic-mutations-in-chromatin-remodeling-ad-ubiquitin-           ligase-complex-genes-in-serous-endometrial-tumors/

4.  Prostate Cancer Cells: Histone Deacetylase Inhibitors Induce Epithelial-to-Mesenchymal Transition

Stephen J Williams, PhD

http://pharmaceuticalintelligence.com/2012/11/30/histone-deacetylase-inhibitors-induce-epithelial-to-mesenchymal-              transition-in-prostate-cancer-cells/

5. Ubiquinin-Proteosome pathway, autophagy, the mitochondrion, proteolysis and cell apoptosis

Author and Curator: Larry H Bernstein, MD, FCAP

http://pharmaceuticalintelligence.com/2012/10/30/ubiquinin-proteosome-pathway-autophagy-the-mitochondrion-                   proteolysis-and-cell-apoptosis/

6. Signaling and Signaling Pathways

Larry H. Bernstein, MD, FCAP, Reporter and Curator

http://pharmaceuticalintelligence.com/2014/08/12/signaling-and-signaling-pathways/

7.  Leptin signaling in mediating the cardiac hypertrophy associated with obesity

Larry H. Bernstein, MD, FCAP, Reporter and Curator

http://pharmaceuticalintelligence.com/2013/11/03/leptin-signaling-in-mediating-the-cardiac-hypertrophy-associated-            with-obesity/

  1. Sensors and Signaling in Oxidative Stress

Larry H. Bernstein, MD, FCAP, Reporter and Curator

http://pharmaceuticalintelligence.com/2013/11/01/sensors-and-signaling-in-oxidative-stress/

  1. The Final Considerations of the Role of Platelets and Platelet Endothelial Reactions in Atherosclerosis and Novel
    Treatments

Larry H. Bernstein, MD, FCAP, Reporter and Curator

http://pharmaceuticalintelligence.com/2013/10/15/the-final-considerations-of-the-role-of-platelets-and-platelet-                      endothelial-reactions-in-atherosclerosis-and-novel-treatments

10.   Platelets in Translational Research – Part 1

Larry H. Bernstein, MD, FCAP, Reporter and Curator

http://pharmaceuticalintelligence.com/2013/10/07/platelets-in-translational-research-1/

11.  Disruption of Calcium Homeostasis: Cardiomyocytes and Vascular Smooth Muscle Cells: The Cardiac and
Cardiovascular Calcium Signaling Mechanism

Author and Curator: Larry H Bernstein, MD, FCAP, Author, and Content Consultant to e-SERIES A:
Cardiovascular Diseases: Justin Pearlman, MD, PhD, FACC and Curator: Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/09/12/disruption-of-calcium-homeostasis-cardiomyocytes-and-vascular-             smooth-muscle-cells-the-cardiac-and-cardiovascular-calcium-signaling-mechanism/

12. The Centrality of Ca(2+) Signaling and Cytoskeleton Involving Calmodulin Kinases and
Ryanodine Receptors in Cardiac Failure, Arterial Smooth Muscle, Post-ischemic Arrhythmia,
Similarities and Differences, and Pharmaceutical Targets

     Author and Curator: Larry H Bernstein, MD, FCAP, Author, and Content Consultant to
e-SERIES A: Cardiovascular Diseases: Justin Pearlman, MD, PhD, FACC and
Curator: Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/09/08/the-centrality-of-ca2-signaling-and-cytoskeleton-involving-calmodulin-       kinases-and-ryanodine-receptors-in-cardiac-failure-arterial-smooth-muscle-post-ischemic-arrhythmia-similarities-and-           differen/

13.  Nitric Oxide Signalling Pathways

Aviral Vatsa, PhD, MBBS

http://pharmaceuticalintelligence.com/2012/08/22/nitric-oxide-signalling-pathways/

14. Immune activation, immunity, antibacterial activity

Larry H. Bernstein, MD, FCAP, Curator

http://pharmaceuticalintelligence.com/2014/07/06/immune-activation-immunity-antibacterial-activity/

15.  Regulation of somatic stem cell Function

Larry H. Bernstein, MD, FCAP, Writer and Curator    Aviva Lev-Ari, PhD, RN, Curator

http://pharmaceuticalintelligence.com/2014/07/29/regulation-of-somatic-stem-cell-function/

16. Scientists discover that pluripotency factor NANOG is also active in adult organisms

Larry H. Bernstein, MD, FCAP, Reporter

http://pharmaceuticalintelligence.com/2014/07/10/scientists-discover-that-pluripotency-factor-nanog-is-also-active-in-adult-organisms/

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Larry H Bernstein, MD, FCAP, Curator

http://pharmaceuticalintelligence/7/8/2014/Proteins and cellular adaptation to stress

There are two recent articles that are, if not interesting, possibly important in the direction of cellular regulation, adaptation, and decline.  One deals with apoptosis, or cell death, which is synchronized with recovery of membrane and protein breakdown for reuse in synthesis and maintenance.  The other is a new perspective to Alzhemier’s Disease, for which there is no effective pharmacotherapy. In both cases, the stresses of the cell are critical to the responce to the environment.  This is not just about the classical transcriptomics story. This is a perfect followup to the just posted research on the regulatory role of a small RNA that is related to, but distinct from silencing RNA, and also the revelations about lncRNA.

Protein Helps Cells Adapt—or Die

Scientists show how cell stress both prevents and promotes cell suicide in a study that’s equally divisive.

By Ruth Williams | July 3, 2014

A cellular stress pathway called the unfolded-protein-response (UPR) both activates and degrades death receptor 5 protein (DR5), which can promote or prevent cell suicide, according to a paper published in Science today (July 3). The theory is that initial stress blocks cell suicide, or apoptosis, to give the cell a chance to adapt, but that if the stress persists, it eventually triggers apoptosis.

“This work has made the most beautiful simplification of all this big complex mess. Basically, they identified and pinpointed the specific protein involved in the switching decision and explain how the decision is made,” said Alexei Korennykh, a professor of molecular biology at Princeton University, who was not involved in the work.

But Randal Kaufman of the Sanford-Burnham Medical Research Institute in La Jolla, California, was not impressed. He questioned the physiological relevance of the experiments supporting the authors’ main conclusions about this key cellular process.

Protein folding in a cell takes place largely in the endoplasmic reticulum (ER), but if the process goes awry, unfolded proteins accumulate, stressing the ER. This triggers the UPR, which shuts down translation, degrades unfolded proteins, and increases production of protein-folding machinery. If ER stress is not resolved, however, the UPR can also induce apoptosis.

Two main factors control the UPR—IRE1a and PERK. IRE1a promotes cell survival by activating the transcription factor XBP1, which drives expression of cell-survival genes. PERK, on the other hand, activates a transcription factor called CHOP, which in turn drives expression of the proapoptotic factor DR5.

Peter Walter of the University of California, San Francisco, and his colleagues have now confirmed that CHOP activates DR5, showing that it is a cell-autonomous process. But they have also found that IRE1a suppresses DR5, directly degrading its mRNA through a process called regulated IRE1a-dependent degradation (RIDD). Inhibition of IRE1a in a human cancer cell line undergoing ER stress both prevented DR5 mRNA decay and increased apoptosis.

However, in an e-mail to The Scientist, Kaufman expressed concern that “the significance of RIDD has not been demonstrated in a physiologically-relevant context.”

Walter insisted that the evidence for RIDD’s existence is “crystal clear.” His only concession was that “the effects aren’t 100 percent,” he said, because “RIDD degrades mRNA by a few-fold,” making it difficult to measure.

This RIDD debate aside, the researchers have also sparked a rumpus with their finding that IRE1a expression switches off just 24 hours after ER stress initiation, leaving PERK to drive the cell toward apoptosis. “We and others have evidence that suggests another model,” said Scott Oakes, a professor of pathology at the University of California, San Francisco, “which is that both PERK and IRE1a under high stress will send out death signals.”

Whether IRE1a promotes or inhibits apoptosis under extreme stress “is controversial,” said Ira Tabas, a professor at Columbia University in New York City. But it’s essential that scientists figure it out. Cell death from ER stress is a pathological process in many major diseases, Tabas said, and there are IRE1a inhibitors in pharmaceutical development. “It is very important because under high stress you have two different views here,” said Oakes. “One is that you want to keep IRE1a on, the other is that you want to shut it off.”

Because ER stress is central to many diseases, “a lot of people are passionate about it,” said Tabas, explaining the polemic views. “Who’s right? . . . I think it depends on the context in which the experiments are done—one pathway may be important in some settings, and another pathway may be important in different settings,” he suggested. What might help to resolve the issues, he said, will be “in vivo causation studies using actual disease models.”

Researchers will continue to debate. So, said Walter, “we’ll have to see what holds-up five years from now.”

M. Lu et al., “Opposing unfolded-protein-response signals converge on death receptor 5 to control apoptosis,” Science, 345:98-101, 2014.

Tags stress responseprotein foldingdisease/medicinecell & molecular biology and apoptosis

 

Protein May Hold the Key to Who Gets Alzheimer’s

 

By PAM BELLUCK     MARCH 19, 2014

 

It is one of the big scientific mysteries of Alzheimer’s disease: Why do some people whose brains accumulate the plaques and tangles so strongly associated with Alzheimer’s not develop the disease?

 

Now, a series of studies by Harvard scientists suggests a possible answer, one that could lead to new treatments if confirmed by other research.

 

The memory and thinking problems of Alzheimer’s disease and other dementias, which affect an estimated seven million Americans, may be related to a failure in the brain’s stress response system, the new research suggests. If this system is working well, it can protect the brain from abnormal Alzheimer’s proteins; if it gets derailed, critical areas of the brain start degenerating.

“This is an extremely important study,” said Li-Huei Tsai, director of the Picower Institute for Learning and Memory at the Massachusetts Institute of Technology, who was not involved in the research but wrote a commentary accompanying the study. “This is the first study that is really starting to provide a plausible pathway to explain why some people are more vulnerable to Alzheimer’s than other people.”

An image of tau tangles in the brain, often a hallmark of Alzheimer’s disease.

An image of tau tangles in the brain, often a hallmark of Alzheimer’s disease.

 

 

 

The research, published on Wednesday in the journal Nature, focuses on a protein previously thought to act mostly in the brains of developing fetuses. The scientists found that the protein also appears to protect neurons in healthy older people from aging-related stresses. But in people with Alzheimer’s and other dementias, the protein is sharply depleted in key brain regions.

Experts said if other scientists could replicate and expand upon the findings, the role of the protein, called REST, could spur development of new drugs for dementia, which has so far been virtually impossible to treat. But they cautioned that much more needed to be determined, including whether the decline of REST was a cause, or an effect, of brain deterioration, and whether it was specific enough to neurological diseases that it could lead to effective therapies.

“You’re going to see a lot of papers now following up on it,” said Dr. Eric M. Reiman, executive director of the Banner Alzheimer’s Institute in Phoenix, who was not involved in the study. “While it’s a preliminary finding, it raises an avenue that hasn’t been considered before. And if this provides a handle on which to understand normal brain aging, that will be great, too.”

REST, a regulator that switches off certain genes, is primarily known to keep fetal neurons in an immature state until they develop to perform brain functions, said Dr. Bruce A. Yankner, a professor of genetics at Harvard Medical School and the lead author of the new study. By the time babies are born, REST becomes inactive, he said, except in some areas outside the brain like the colon, where it seems to suppress cancer.

While investigating how different genes in the brain change as people age, Dr. Yankner’s team was startled to find that REST was the most active gene regulator in older brains. The researchers have found that this protein, normally active in fetuses, may also protect the neurons in older people.  It is not yet possible to measure the levels of this protein that is a gene regulator called REST, in living people.

“Why should a fetal gene be coming on in an aging brain?” he wondered. He hypothesized that it was because in aging, as in birth, brains encounter great stress, threatening neurons that cannot regenerate if harmed.

His team discovered that REST appears to switch off genes that promote cell death, protecting neurons from normal aging processes like energy decrease, inflammation and oxidative stress.

Analyzing brains from brain banks and dementia studies, the researchers found that brains of young adults ages 20 to 35 contained little REST, while healthy adults between the ages of 73 and 106 had plenty. REST levels grew the older people got, so long as they did not develop dementia, suggesting that REST is related to longevity.

But in people with Alzheimer’s, mild cognitive impairment, frontotemporal dementia and Lewy body dementia, the brain areas affected by these diseases contained much less REST than healthy brains.

This was true only in people who actually had memory and thinking problems. People who remained cognitively healthy, but whose brains had the same accumulation of amyloid plaques and tau tangles as people with Alzheimer’s, had three times more REST than those suffering Alzheimer’s symptoms. About a third of people who have such plaques will not develop Alzheimer’s symptoms, studies show.

REST levels dropped as symptoms worsened, so people with mild cognitive impairment had more REST than Alzheimer’s patients. And only key brain regions were affected. In Alzheimer’s, REST steeply declined in the prefrontal cortex and hippocampus, areas critical to learning, memory and planning. Other areas of the brain not involved in Alzheimer’s showed no REST drop-off.

It is not yet possible to analyze REST levels in the brains of living people, and several Alzheimer’s experts said that fact limited what the new research could prove.

John Hardy, an Alzheimer’s researcher at University College London, cautioned in an email that information from post-mortem brains could not prove that a decline in REST caused dementia because death might produce unrelated damage to brain cells.

To investigate further, the team conducted what both Dr. Tsai and Dr. Reiman called a “tour de force” of research, examining REST in mice, roundworms and cells in the lab.

“We wanted to make sure the story was right,” Dr. Yankner said. “It was difficult to believe at first, to be honest with you.”

Especially persuasive was that mice genetically engineered to lack REST lost neurons as they aged in brain areas afflicted in Alzheimer’s.

Dr. Yankner said REST appeared to work by traveling to a neuron’s nucleus when the brain was stressed. In dementia, though, REST somehow gets diverted, traveling with toxic dementia-related proteins to another part of the neuron where it is eventually destroyed.

Experts said the research, while intriguing, left many unanswered questions. Bradley Wise of the National Institute on Aging’s neuroscience division, which helped finance the studies, said REST’s role needed further clarification. “I don’t think you can really say if it’s a cause of Alzheimer’s or a consequence of Alzheimer’s” yet, he said.

Dr. Samuel E. Gandy, an Alzheimer’s researcher at Mount Sinai Medical Center, wondered if REST figured only in neurodegenerative diseases or in other diseases, too, which could make it difficult to use REST to develop specific treatments or diagnostic tests for dementia.

“My ambivalence is, is this really a way that advances our understanding of the disease or does this just tell us this is even more complicated than we thought?” he said.

Dr. Yankner’s team is looking at REST in other neurological diseases, like Parkinson’s. He also has thoughts about a potential treatment, lithium, which he said appears to stimulate REST function, and is considered relatively safe.

But he and other experts said it was too early. “I would hesitate to start rushing into lithium treatment” unless rigorous studies showed that it could forestall dementia, said Dr. John C. Morris, an Alzheimer’s researcher at Washington University in St. Louis.

Still, Dr. Morris said, the REST research the team conducted so far is “very well done, and certainly helps support this idea that we’ve all tried to understand about why Alzheimer’s is age-associated and why, while amyloid is necessary for the development of Alzheimer’s disease, it certainly is not sufficient.”

He added, “There have to be some other processes and triggers that result in Alzheimer’s.”

Correction: March 19, 2014 
Because of an editing error, an earlier version of this article misstated the gender of Dr. Li-Huei Tsai. Dr. Tsai is a woman.

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A Synthesis of the Beauty and Complexity of How We View Cancer

A Synthesis of the Beauty and Complexity of How We View Cancer

Author: Larry H. Bernstein, MD, FCAP

Cancer Volume One – Summary

A Synthesis of the Beauty and Complexity of How We View Cancer

 

This document has covered a broad spectrum of the research, translational biology, diagnostics (both laboratory and imaging methodologies), and treatments for a variety of cancers, mainly by organs, and selectively by the most common cancers seen in human populations. A number of observations stand out on review of all the material presented. 1. The most common cancers affecting humans is spread worldwide, with some variation by region. 2. Cancers within geographic regions may be expressed differently in relationship to population migrations, the incidence of specific environmental pollutants, occurrence of insect transmitted and sexually transmitted diseases (HIV, HCV, HPV), and possibly according to age, or relationship to ultraviolet or high dose radiation exposure. 3. Cancers are expressed within generally recognized age timelines. For example, acute lymphocytic leukemia and neuroblastoma in children under 10 years age; malignant giant cell tumor and osteosarcoma in the third and fourth decade; prostate cancer and breast cancer over age 40, and are more aggressive at an earlier age, both having a strong sex hormone dependence. 4. There is dispute about the effectiveness of screening for cancer with respect to what age, excessive risk in treatment modality, and the duration of progression free survival. Despite the evidence of several years potential life extension, a long term survival of 10 years is not the expected outcome. However, the quality of life in the remaining years is a valid point in favor of progress. 5. There has been a significant reduction in toxicity of treatment, but attention has been focused on a patient-centric decision process. 6. There has been a dramatic improvement in surgical approaches, post-surgical surveillance, and in diagnosis by invasive and noninvasive methods, especially in the combination of needle biopsy and imaging techniques. 7. There is significant variation within cancer cell types with respect to disease-free survival.

The work presented has several main components: First, there is the biology and mechanisms involved in carcinogenesis related to (1) mutations; (2) carcinogenesis; (3) cell regulatory mechanisms; (4) cell signaling pathways; (5) apoptosis (6) ubitination (7) mitochondrial dysfunction; (8) cell-cell interactions; (9) cell migration; (10) metastasis. Then there are large portions covering (1) imaging; (2) specific targeted therapy; (3) nanotechology-based therapy; (4) specific organ-type cancers; (5) genomics-based testing; (6) circulating cancer cells; (7) miRNAs; (8) siRNAs; (9) cancer immunology and (10) immunotherapy.

Classically, we refer to cancer development in terms of the germ cell layers – ectoderm, mesoderm, and endoderm. These are formative in embryonic development. The most active development occurs during embryonic development, with a high growth rate of cells and also a high utilization of energy. The cells utilize oxidation for energy in this period characterized by movement of cells in differentiation and organogenesis. This was observed to be unlike the cell metabolism in carcinogenesis, which is characterized by impaired mitochondrial function and reliance on lactate production for energy – termed anaerobic glycolysis, as investigated by Meyerhof, Embden, Warburg, Szent-Gyorgy, H. Krebs, Theorell, AV Hill, B Chance, P Mitchell, P Boyer, F Lippman, and others.

In addition, the body economy has been divided into two major metabolic compartments: fat and lean body mass (LBM), which is further denoted as visceral and structural. This denotes the gut, kidneys, liver, lung, pancreas, sexual organs, endocrines, brain and fat cells in one compartment, and skeletal muscle, bone and cardiovascular in another. LBM is calculated as fat free mass. Further, brown fat is distinguished from white fat. But this was a first layer of construction of the human body. One peels away this layer to find a second layer. For example, the gut viscera have an inner (outer) epithelial layer, a muscularis, and a deep epithelium, which has circulation and fat. There is also an interstitium between the gut epithelium and muscularis. The lung has an epithelium exposed to the airspaces, then capillaries, and then epithelium, designed for exchange of O2 and CO2, the source of heat generation. The pancreas has an endocrine portion in the islets that are embedded in an exocrine secretory organ. The sexual organs have a combination of glandular structures embedded in a mesothelium.

The structural compartment is entirely accounted for by the force of contraction. If this is purely anatomical, that is not really the case when one goes into the functioning substructures of these tissues – cytoplasm, endoplasmic reticulum (ribosomal), mitochondria, liposomes, chromatin apparatus, cell membrane and vesicles. Within and between these structures are the working and interacting mechanisms of the cell in its unique role. What ties these together was first thought to be found in the dogma following the discovery of the genetic code in 1953 that begat DNA to RNA to protein.

This led to many other discoveries that made it clear that it was only a first approximation. It did not account for noncoding DNA, which became unmasked with the culmination of the Human Genome Project and concurrent advances in genomics (mtDNA, mtRNA, siRNA, exosomes, proteomics, synthetic biology, predictive analytics, and regulatory pathways directed by signaling molecules. Here is a list of signaling pathways: 1. JAK-STAT 2. GPCR 3. Endocrine 4. Cytochemical 5. RTK 6. P13K 7. NF-KB 8. MAPK 9. Ubiquitin 10. TGF-beta 11. Stem cell These signaling pathways have become the basis for the discovery of inhibitors of signaling pathways (suppressors), as well as activators, as these have been considered as specific targets for selective therapy. (.See Figure below) Of course, extensive examination of these pathways has required that all such findings are validated based on the STRENGTH of their effect on the target and in the impact of suppression.

inhibitors of signaling pathways-1

http://www.SelleckChem.com

 

Let us continue this discussion elucidating several major points.  While the early observations that drove the interest in biochemical behavior of cancer cells has been displaced, it has not faded from view.

Bioenergetics of Cancer cells

Michael J. Gonzalez (Bioenergetic_Theory_of_Carcinigenesis. http://www.academia.edu/2224071/ Bioenergetic_Theory_of_Carcinigenesis) maintains that the altered energy metabolism of tumor cells provides a viable target for a non-toxic chemotherapeutic approach.  An increased glucose consumption rate  has been observed in malignant cells. Warburg (NobelLaureate in medicine) postulated that the respiratory process of malignant cells was impaired in the malignant transformation. Szent-Györgyi (Nobel in medicine) also viewed cancer as originating from insufficient oxygen utilization. Oxygen inhibits anaerobic  metabolism (fermentation and lactic acid production). Interestingly, during cell differentiation (where cell energy level is high) there is an increased cellular production of oxidation products that appear to provide physiological stimulation for changes in gene expression that may lead to a terminal differentiated state. The failure to maintain high ATP production (high cell energy levels) may be a consequence of inactivation of key enzymes, especially those related to the Krebs cycle and the electron transport system. A distorted mitochondrial function (transmembrane potential) may result.  This  aspect could be suggestive of an important mitochondrial involvement in the carcinogenic process in addition to presenting it as a possible therapeutic target for cancer. Intermediate metabolic correction of the mitochondria is postulated as a possible non-toxic therapeutic approach for cancer.

Fermentation is the anaerobic metabolic breakdown of glucose without net oxidation. Fermentation does not release all the available energy of glucose or need oxygen as part of its biochemical reactions ;  it merely allows glycolysis  (a process that yields two ATP per mole of glucose) to continue by replenishing reduced coenzymes and yields lactate as its final product. The first step in aerobic and anaerobic energy producing pathways, it occurs in the cytoplasm of cells, not in specialized organelles, and is found in all living organisms.  Cancer cells have a fundamentally different energy metabolism compared to normal cells, that  are obligate aerobes (oxygen-requiring cells)  meeting their energy needs with oxidative metabolic processes., while cancer cells do not  require oxygen for their survival. This increase in glycolytic  flux is a metabolic strategy of tumor cells to ensure growth and    survival  in  environments  with  low   oxygen concentrations.

Radoslav Bozov has commented that the process of genomic evolution cannot be fully revealed through comparative genomicsHe states that DNA would be entropic- favorable stable state going towards absolute ZERO temp. Themodynamics measurement in subnano discrete space would go negative towards negativity. DNA is like a cold melting/growing crystal, quite stable as it appears not due to hydrogen bonding , but due to interference of C-N-O. That force is contradicted via proteins onto which we now know large amount of negative quantum redox state carbon attaches. The more locally one attempts to observe, the more hidden variables would emerge as a consequence of discrete energy spaces opposing continuity of matter/time. But stability emerges out of non-stable states, and never reaches absolute stability, for there would be neither feelings nor freedom.

Membrane potential(Vm)

Membrane potential (Vm), the voltage across the plasma membrane, arises because of the presence of differention channels/transporters with specific ion selectivity and permeability. Vm is a key biophysical signal in non-excitable cells, modulating important cellular activities, such as proliferation and differentiation. Therefore, the multiplicities of various ion channels/transporters expressed on different cells are finely tuned in order to regulate the Vm. (M Yang and WJ Brackenbury.

Membrane potential and cancer progression. Frontiers in Physiol.  2013(4); 185: 1.  http://dx.doi.org/10.3389/fphys.2013.00185)

It is well-established that cancer cells possess distinct bioelectrical properties. Notably, electrophysiological analyses in many cancer cell types have revealed a depolarized Vm that favors cell proliferation. Ion channels/transporters control cell volume and migration, and emerging data also suggest that the level of Vm has functional roles in cancer cell migration. In addition, yperpolarization is necessary for stem cell differentiation. For example, both osteogenesis and adipogenesis are hindered in human mesenchymal stem cells (hMSCs) under depolarizing conditions. Therefore, in the context of cancer, membrane depolarization might be important for the emergence and maintenance of cancer stem cells (CSCs), giving rise to sustained tumor growth. This review aims to provide a broad understanding of the Vm as a bioelectrical signal in cancer cells by examining several key types of ion channels that contribute to its regulation. The mechanisms by which Vm regulates cancer cell proliferation, migration, and differentiation will be discussed. In the long term, Vm might be avaluable clinical marker for tumor detection with prognostic value, and could even be artificially modified in order to inhibit tumor growth and metastasis.

Perspective beyond Cancer Genomics: Bioenergetics of Cancer Stem Cells

Hideshi Ishii, Yuichiro Doki, and Masaki Mori
Yonsei Med J 2010; 51(5):617-621.  http://dx.doi.org/10.3349/ymj.2010.51.5.617   pISSN: 0513-5796, eISSN: 1976-2437

Although the notion that cancer is a disease caused by genetic and epigenetic alterations is now widely accepted, perhaps more emphasis has been given to the fact that cancr is a genetic disease. It should be noted that in the post-genome sequencing project period of the 21st century, the underlined phenomenon nevertheless could not be discarded towards the complete control of cancer disaster as the whole strategy, and in depth investigation of the factors associated with tumorigenesis is required for achieving it. Otto Warburg has won a Nobel Prize in 1931 for the discovery of tumor bioenergetics, which is now commonly used as the basis of positron emission tomography (PET), a highly sensitive noninvasive technique used in cancer diagnosis. Furthermore, the importance of the cancer stem cell (CSC) hypothesis in therapy-related resistance and metastasis has been recognized during the past 2 decades. Accumulating evidence suggests that tumor bioenergetics plays a critical role in CSC regulation; this finding has opened up a new era of cancer medicine, which goes beyond cancer genomics.

Efficient execution of cell death in non-glycolytic cells requires the generation of ROS controlled by the activity of mitochondrial H+-ATP synthase.

Gema Santamaría1,#, Marta Martínez-Diez1,#, Isabel Fabregat2 and José M. Cuezva1,*
Carcinogenesis 2006 27(5):925-935      http://dx.doi.org/10.1093/carcin/bgi315

There is a large body of clinical data documenting that most human carcinomas contain reduced levels of the catalytic subunit of the mitochondrial H+-ATP synthase. In colon and lung cancer this alteration correlates with a poor patient prognosis. Furthermore, recent findings in colon cancer cells indicate that down-regulation of the H+-ATP synthase is linked to the resistance of the cells to chemotherapy. However, the mechanism by which the H+-ATP synthase participates in cancer progression is unknown. In this work, we show that inhibitors of the H+-ATP synthase delay

staurosporine-induced cell death in liver cells that are dependent on oxidative phosphorylation for energy provision whereas it has no effect on glycolytic cells. Efficient execution of cell death requires the generation of reactive oxygen species (ROS) controlled by the activity of the H+-ATP synthase in a process that is concurrent with the rapid disorganization of the cellular mitochondrial network. The generation of ROS after staurosporine treatment is highly dependent on the mitochondrial membrane potential and most likely caused by reverse electron flow to Complex I. The generated ROS promote the carbonylation and covalent modification of cellular and mitochondrial proteins. Inhibition of the activity of the H+-ATP synthase blunted ROS production, prevented the oxidation of cellular proteins and the modification of mitochondrial proteins, delaying the release of cyt c and the execution of cell death. The results in this work establish the down-regulation of the H+-ATP synthase, and thus of oxidative phosphorylation, as part of the molecular strategy adapted by cancer cells to avoid reactive oxygen species-mediated cell death. Furthermore, the results provide a mechanistic explanation to understand chemotherapeutic resistance of cancer cells that rely on glycolysis as main energy provision pathway.

see also –

The tumor suppressor function of mitochondria: Translation into the clinics

José M. CuezvaÁlvaro D. OrtegaImke Willers, et al.  
Biochimica et Biophysica Acta (BBA) – Molecular Basis of Disease  Dec 2009;  1792(12): 1145–1158  http://dx.doi.org/10.1016/j.bbadis.2009.01.006

Recently, the inevitable metabolic reprogramming experienced by cancer cells as a result of the onset of cellular proliferation has been added to the list of hallmarks of the cancer cell phenotype. Proliferation is bound to the synchronous fluctuation of cycles of an increased glycolysis concurrent with a restrained oxidative phosphorylation. Mitochondria are key players in the metabolic cycling experienced during proliferation because of their essential roles in the transduction of biological energy and in defining the life–death fate of the cell. These two activities are molecularly and functionally integrated and are both targets of commonly altered cancer genes. Moreover, energetic metabolism of the cancer cell also affords a target to develop new therapies because the activity of mitochondria has an unquestionable tumor suppressor function. In this review, we summarize most of these findings paying special attention to the opportunity that translation of energetic metabolism into the clinics could afford for the management of cancer patients. More specifically, we emphasize the role that mitochondrial β-F1-ATPase has as a marker for the prognosis of different cancer patients as well as in predicting the tumor response to therapy.

Self-Destructive Behavior in Cells May Hold Key to a Longer Life

Carl Zimmer, MY Times  October 5, 2009

In recent years, scientists have found evidence of autophagy in preventing a much wider range of diseases. Many disorders, like Alzheimer’s disease, are the result of certain kinds of proteins forming clumps. Lysosomes can devour these clumps before they cause damage, slowing the onset of diseases.

Lysosomes may also protect against cancer. As mitochondria get old, they cast off charged molecules that can wreak havoc in a cell and lead to potentially cancerous mutations. By gobbling up defective mitochondria, lysosomes may make cells less likely to damage their DNA. Many scientists suspect it is no coincidence that breast cancer cells are often missing autophagy-related genes. The genes may have been deleted by mistake as a breast cell divided. Unable to clear away defective mitochondria, the cell’s descendants become more vulnerable to mutations.

Unfortunately, as we get older, our cells lose their cannibalistic prowess. The decline of autophagy may be an important factor in the rise of cancer, Alzheimer’s disease and other disorders that become common in old age. Unable to clear away the cellular garbage, our bodies start to fail.

If this hypothesis turns out to be right, then it may be possible to slow the aging process by raising autophagy. It has long been known, for example, that animals that are put on a strict low-calorie diet can live much longer than animals that eat all they can. Recent research has shown that caloric restriction raises autophagy in animals and keeps it high. The animals seem to be responding to their low-calorie diet by feeding on their own cells, as they do during famines. In the process, their cells may also be clearing away more defective molecules, so that the animals age more slowly.

Some scientists are investigating how to manipulate autophagy directly. Dr. Cuervo and her colleagues, for example, have observed that in the livers of old mice, lysosomes produce fewer portals on their surface for taking in defective proteins. So they engineered mice to produce lysosomes with more portals. They found that the altered lysosomes of the old experimental mice could clear away more defective proteins. This change allowed the livers to work better.

 

Essentiality of pyruvate kinase, oxidation, and phosphorylation

We can move to the next level with greater clarity. Yu et al. reported an important relationship between Pyruvate kinase M2 (PKM2) and the Warburg effect of cancer cells ( M Yu, et al. PIM2 phosphorylates PKM2 and promotes Glycolysis in Cancer Cells. J Biol Chem (PMID: 24142698) http://dx.doi.org10.1074/jbc.M113.508226 ).  They found that PIM2 could directly phosphorylate PKM2 on the Thr454 residue, which resulted in an increase of PKM2 protein levels. PKM2 with a phosphorylation-defective mutation displayed a reduced effect on glycolysis compared to the wild-type, thereby co-activating HIF-1α and β-catenin, and enhanced mitochondria respiration and chemotherapeutic sensitivity of cancer cells. This indicated that PIM2-dependent phosphorylation of PKM2 is critical for regulating the Warburg effect in cancer, highlighting PIM2 as a potential therapeutic target.

In another study of the effect of 3 homoplastic mtDNA mutations on oxidative metabolism of osteosarcoma cells, there was a difference proportional to the magnitude of the defect. (Iommarini L, et al. Different mtDNA mutations modify tumor progression in dependence of the degree of respiratory complex I impairment. Hum Mol Genet. 2013 Nov 11. [Epub ahead of print]; PMID: 24163135 ).   Osteosarcoma cells carrying the most marked impairment of the gene encoding mitochondrial complex I  (CI) of oxidative phosphorylation displayed a reduced tumorigenic potential both in vitro and in vivo, when compared with cells with mild CI dysfunction. The severe CI dysfunction was an energetic defect associated with a compensatory increase in glycolytic metabolism and AMP-activated protein kinase activation.  The result suggested that mtDNA mutations may display diverse impact on tumorigenic potential depending on the type and severity of the resulting oxidative phosphorylation dysfunction. The modulation of tumor growth was independent from reactive oxygen species production but correlated with hypoxia-inducible factor 1α stabilization, indicating that structural and functional integrity of CI and oxidative phosphorylation are required for hypoxic adaptation and tumor progression.

An unrelated finding shares some agreement with what has been identified (Systematic isolation of context-dependent vulnerabilities in NSCLC. Cell, 24 Oct 2013; 155 (3): 552-566, http://dx.doi.org/10.1016/ j.cell.2013.09.041). They report  three distinct target/response-indicator pairings that are represented with significant frequencies (6%–16%) in the patient population. These include NLRP3 mutation/inflammasome activation-dependent FLIP addiction, co-occurring KRAS and LKB1 mutation-driven COPI addiction, and selective sensitivity to a synthetic indolotriazine that is specified by a seven-gene expression signature.   This is depicted in the Figure below.  The authors noted a frequency and diversity of somatic lesions detected among lung tumors can confound efforts to identify these targets.

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The forging of a cancer-metabolism link and twists in the chain (Biome 19th April 2013)

Ten years ago, Grahame Hardie and Dario Alessi discovered that the elusive upstream kinase required for the activation of AMP-activated protein kinase (AMPK) by metabolic stress that the Hardie lab had been pursuing in their research on the metabolic regulator AMPK was the tumor suppressor, LKB1, that the neighbouring Alessi lab was working on at the time. This finding represented the first clear link between AMPK and cancer.

The resulting paper [1], published in 2003 in what was then Journal of Biology (now BMC Biology), was one [1] of three [2, 3] connecting these two kinases and that helped to swell of a surge of interest in the metabolism of tumor cells that was just beginning at about that time and is still growing. (LKB1 and AMPK and the cancer-metabolism link – ten years after.  D Grahame Hardie, and Dario R Alessi.  BMC Biology 2013, 11:36.   http://dx doi.org.10.1186/1741-7007-11-36.)

 

In September 2003, both groups published a joint paper [1] in Journal of Biology (now BMC Biology) that identified the long-sought and elusive upstream kinase acting on AMP-activated protein kinase (AMPK) as a complex containing LKB1, a known tumor suppressor. Similar findings were reported at about the same time by David Carling and Marian Carlson [2] and by Reuben Shaw and Lew Cantley [3]; at the time of writing these three papers have received between them a total of over 2,000 citations. These findings provided a direct link between a protein kinase, AMPK, which at the time was mainly associated with regulation of metabolism, and another protein kinase, LKB1, which was known from genetic studies to be a tumor suppressor. While the idea that cancer is in part a metabolic disorder (first suggested by Warburg in the 1920s [4]) is well recognized today [5], this was not the case in 2003, and our paper perhaps contributed towards its renaissance.

The distinctive metabolic feature of tumor cells that enables them to meet the demands of unrestrained growth is the switch from oxidative generation of ATP to aerobic glycolysis – a phenomenon now well known as the Warburg effect. Operating this switch is one of the central functions of the AMP-activated protein kinase (AMPK) that has long been the focus of research in the Hardie lab. AMPK is an energy sensor that is allosterically tuned by competitive binding of ATP, ADP and AMP to sites on its g regulatory subunit (its portrait here, with AMP bound at two sites, was kindly provided by Bing Xiao and Stephen Gamblin). When phosphorylated by LKB1, AMPK responds to depletion of ATP by turning off anabolic reactions required for growth, and turning on catabolic reactions and oxidative phosphorylation – the reverse of the Warburg effect. In this light, it is not surprising that LKB1  is inactivated in some proportion of many different types of tumors.

AMPK as an energy sensor and metabolic switch

AMPK was discovered as a protein kinase activity that phosphorylated and inactivated two key enzymes of fatty acid and sterol biosynthesis: acetyl-CoA carboxylase (ACC) and 3-hydroxy-3-methylglutaryl-CoA reductase (HMGR). The ACC kinase activity was reported to be activated by 5’-AMP, and the HMGR kinase activity by reversible phosphorylation, but for many years the two activities were thought to be due to distinct enzymes. However, in 1987 the DGH laboratory showed that both were functions of a single protein kinase, which we renamed AMPK after its allosteric activator, 5’-AMP. It was subsequently found that AMPK regulated not only lipid biosynthesis, but also many other metabolic pathways, both by direct phosphorylation of metabolic enzymes, and through longer-term effects mediated by phosphorylation of transcription factors and co-activators. In general, AMPK switches off anabolic pathways that consume ATP and NADPH, while switching on catabolic pathways that generate ATP (Figure 1).

 

target proteins and metabolic pathways regulated by AMPK 1741-7007-11-36-1_1

 

Summary of a selection of target proteins and metabolic pathways regulated by AMPK. Anabolic pathways switched off by AMPK are shown in the top half of the ‘wheel’ and catabolic pathways switched on by AMPK in the bottom half. Where a protein target for AMPK responsible for the effect is known, it is shown in the inner wheel; a question mark indicates that it is not yet certain that the protein is directly phosphorylated. For original references see [54].

Key to acronyms: ACC1/ACC2, acetyl-CoA carboxylases-1/-2; HMGR, HMG-CoA reductase; SREBP1c, sterol response element binding protein-1c; CHREBP, carbohydrate response element binding protein; TIF-1A, transcription initiation factor-1A; mTORC1, mechanistic target-of-rapamycin complex-1; PFKFB2/3, 6-phosphofructo-2-kinase, cardiac and inducible isoforms; TBC1D1, TBC1 domain protein-1; SIRT1, sirtuin-1; PGC-1α, PPAR-γ coactivator-1α; ULK1, Unc51-like kinase-1.

Regulation of AMPK  1741-7007-11-36-3

 

Regulation of AMPK. AMPK can be activated by increases in cellular AMP:ATP or ADP:ATP ratio, or Ca2+ concentration. AMPK is activated >100-fold on conversion from a dephosphorylated form (AMPK) to a form phosphorylated at Thr172 (AMPK-P) catalyzed by at least two upstream kinases: LKB1, which appears to be constitutively active, and CaMKKβ, which is only active when intracellular Ca2+ increases. Increases in AMP or ADP activate AMPK by three mechanisms: (1) binding of AMP or ADP to AMPK, causing a conformational change that promotes phosphorylation by upstream kinases (usually this will be LKB1, unless [Ca2+] is elevated); (2) binding of AMP or ADP, causing a conformational change that inhibits dephosphorylation by protein phosphatases; (3) binding of AMP (and not ADP), causing allosteric activation of AMPK-P. All three effects are antagonized by ATP, allowing AMPK to act as an energy sensor.

AMPK and AMPK-related kinase (ARK) family  1741-7007-11-36-4

 

Members of the AMPK and AMPK-related kinase (ARK) family. All the kinases named in the figure are phosphorylated and activated by LKB1, although what regulates this phosphorylation is known only for AMPK. Alternative names are shown, where applicable.

AMPK-activating drugs metformin or phenformin might provide protection against cancer 1741-7007-11-36-5

 

 

Three possible mechanisms to explain how the AMPK-activating drugs metformin or phenformin might provide protection against cancer. (a) Metformin acts on the liver and other insulin target tissues by activating AMPK (and probably via other targets), normalizing blood glucose; this reduces insulin secretion from pancreatic β cells, reducing the growth-promoting effects of insulin (and high glucose) on tumor cells. Since metformin does not reduce glucose levels in normoglycemic individuals, this mechanism would only operate in insulin-resistant subjects. (b) Metformin or phenformin activates AMPK in pre-neoplastic cells, restraining their growth and proliferation and thus delaying the onset of tumorigenesis; this mechanism would only operate in cells where the LKB1-AMPK pathway was intact. (c) Metformin or phenformin inhibits mitochondrial ATP synthesis in tumor cells, promoting cell death. If the LKB1-AMPK pathway was down-regulated in the tumor cells, they would be more sensitive to cell death induced by the biguanides than surrounding normal cells.

Metformin and phenformin are biguanides that inhibit mitochondrial function and so deplete ATP by inhibiting its production . AMPK is activated by any metabolic stress that depletes ATP, either by inhibiting its production (as do hypoxia, glucose deprivation, and treatment with biguanides) or by accelerating its consumption (as does muscle contraction). By switching off anabolism and other ATP-consuming processes and switching on alternative ATP-producing catabolic pathways, AMPK acts to restore cellular energy homeostasis.

Findings that AMPK is activated in skeletal muscle during exercise and that it increases muscle glucose uptake and fatty acid oxidation led to the suggestion that AMPK-activating drugs might be useful for treating type 2 diabetes. Indeed, it turned out that AMPK is activated by metformin, a drug that had at that time been used to treat type 2 diabetes for over 40 years, and by phenformin , a closely related drug that had been withdrawn for treatment of diabetes due to side effects of lactic acidosis.

If only it were so simple. Effects of metformin on cancer in type 2 diabetics could be secondary to reduction in insulin levels, and although there is evidence for direct effects of AMPK activation on the development of tumors in mice, there is also recent evidence that tumors that become established without down-regulating LKB1 survive metformin better than those that have lost it – probably because metformin poisons the mitochondrial respiratory chain, depressing ATP levels, and cells in which AMPK can still be activated in response to the challenge do better than those in which it can’t.

In their review, Hardie and Alessi chart these  twists and turns, and point to the explosion of further possibilities opened up by the discovery, since their 2003 publication, of at least one other class of kinase upstream of AMPK (the CaM kinases), and at least a dozen other downstream targets of LKB1 (AMPK-related kinases, or ARKs) – not to mention the innumerable downstream targets of AMPK; all which make half their schematic illustrations look like hedgehogs.

Analysis of respiration  in human cancer

Bioenergetic profiling of cancer cells is of great potential because it can bring forward new and effective

Therapeutic  strategies along with early diagnosis. Metabolic Control Analysis (MCA) is a methodology that enables quantification of the flux control exerted by different enzymatic steps in a metabolic network thus assessing their contribution to the system‘s function.

(T Kaambre,V Chekulayev, I Shevchuk, et al. Metabolic control analysis of respiration  in human cancer tissue.  Frontiers Physiol 2013 (4); 151:  1. http://dx.doi.org/10.3389/fphys.2013.00151)

Our main goal is to demonstrate the applicability of MCA for in situ studies of energy

Metabolism in human breast and colorectal cancer cells as well as in normal tissues .We seek to determine the metabolic conditions leading to energy flux redirection in cancer cells. A main result obtained is that the adenine nucleotide translocator exhibits the highest control of respiration in human breast cancer thus becoming a prospective therapeutic target. Additionally, we present evidence suggesting the existence of mitochondrial respiratory supercomplexes that may represent a way by which cancer cells avoid apoptosis. The data obtained show that MCA applied in situ can be insightful in cancer cell energetic research.

Metabolic control analysis of respiration in human cancer tissue. fphys-04-00151-g001

Metabolic control analysis of respiration in human cancer tissue.

Representative traces of change in the rate of oxygen consumption by permeabilized human colorectal cancer (HCC) fibers after their titration with increasing concentrations of mersalyl, an inhibitor of inorganic phosphate carrier (panel A). The values of respiration rate obtained were plotted vs. mersalyl concentration (panel B) and from the plot the corresponding flux control coefficient was calculated. Bars are ±SEM.

Oncologic diseases such as breast and colorectal cancers are still one of the main causes of premature death. The low efficiency of contemporary medicine in the treatment of these malignancies is largely mediated by a poor understanding of the processes involved in metastatic dissemination of cancer cells as well as the unique energetic properties of mitochondria from tumors. Current knowledge supports the idea that human breast and colorectal cancer cells exhibit increased rates of glucose consumption displaying Warburg phenotype,i.e.,elevated glycolysis even in the presence of oxygen (Warburg and Dickens, 1930; Warburg, 1956 ;Izuishietal., 2012). Notwithstanding,  there are some evidences that in these malignancies mitochondrial oxidative phosphorylation (OXPHOS) is the main source of ATP rather than glycolysis. Cancer cells have been classified according to their pattern of metabolic remodeling depending of the relative balance between aerobic glycolysis and OXPHOS (Bellanceetal.,2012). The first type of tumor cells is highly glycolytic, the second OXPHOS deficient and the third type of tumors dislay enhanced OXPHOS. Recent studies strongly sug gest  that cancer cells can utilize lactate, free fatty acids, ketone bodies, butyrate and glutamine as key respiratory substrate selic iting metabolic remodeling of normal surrounding cells toward aerobic glycolysis—“reverse Warburg”effect (Whitaker-Menezes et al.,2011;Salem et al.,2012;Sotgia et al.,2012;Witkiewicz et al., 2012).

In normal cells,the OXPHOS system is usually closely linked to phosphotransfer systems, including various creatine kinase(CK) isotypes,which ensure a safe operation of energetics over a broad functional range of cellular activities (Dzejaand Terzic,2003).  However, our current knowledge about the function of CK/creatine (Cr) system in human breast and colorectal cancer is insufficient. In some malignancies, for example sarcomas the CK/Cr system was shown to be strongly downregulated (Beraetal.,2008;Patraetal.,2008).  Our previous studies showed  that the mitochondrial-bound CK (MtCK) activity was significantly decreased in HL-1 tumor cells (Mongeetal.,2009), as compared to normal parent cardiac cells where the OXPHOS is the main ATP source of and the CK system is a main energy carrier. In the present study,we estimated the role of MtCK in maintaining energy homeostasis in human colorectal cancer cells. Understanding the control and regulation of energy metabolism requires analytical tools that take into account  the existing interactions between individual network components and their impact on systemic network function. Metabolic Control Analysis(MCA) is a theoretical framework relating the properties of metabolic systems to the kinetic characteristics of their individual enzymatic components (Fell,2005). An experimental approach of MCA has been already successfully applied to the studies of OXPHOS in isolated mitochondria (Tageretal.,1983; Kunzetal.,1999; Rossignoletal.,2000)  and in skinned muscle fibers (Kuznetsovetal.,1997;Teppetal.,2010).

Metabolic control analysis of respiration in human cancer tissue

Values of basal (Vo) and maximal respiration rate (Vmax, in the presence of 2 mM ADP) and apparent Michaelis Menten constant (Km) for ADP in permeabilized human breast and colorectal cancer samples as well as health tissue. – See more at: http://journal.frontiersin.org/Journal/10.3389/fphys.2013.00151/full#sthash.VBXPdodj.dpuf

Role of Uncoupling Proteins in Cancer

Adamo Valle, Jordi Oliver and Pilar Roca *
Cancers 2010; 2: 567-591;   http://dx.doi.org/10.3390/cancers2020567

Since Otto Warburg discovered that most cancer cells predominantly produce energy by glycolysis rather than by oxidative phosphorylation in mitochondria, much interest has been focused on the alterations of these organelles in cancer cells. Mitochondria have been shown to be key players in numerous cellular events tightly related with the biology of cancer. Although energy production relies on the glycolytic pathway in cancer cells, these organelles also participate in many other processes essential for cell survival and proliferation such as ROS production, apoptotic and necrotic cell death, modulation of oxygen concentration, calcium and iron homeostasis, and certain metabolic and biosynthetic pathways. Many of these mitochondrial-dependent processes are altered in cancer cells, leading to a phenotype characterized, among others, by higher oxidative stress, inhibition of apoptosis, enhanced cell proliferation, chemoresistance, induction of angiogenic genes and aggressive fatty acid oxidation. Uncoupling proteins, a family of inner mitochondrial membrane proteins specialized in energy-dissipation, has aroused enormous interest in cancer due to their relevant impact on such processes and their potential for the development of novel therapeutic strategies.

Uncoupling proteins (UCPs) are a family of inner mitochondrial membrane proteins whose function is to allow the re-entry of protons to the mitochondrial matrix, by dissipating the proton gradient and, subsequently, decreasing membrane potential and production of reactive oxygen species (ROS). Due to their pivotal role in the intersection between energy efficiency and oxidative stress UCPs are being investigated for a potential role in cancer. In this review we compile the latest evidence showing a link between uncoupling and the carcinogenic process, paying special attention to their involvement in cancer initiation, progression and drug chemoresistance.

The Warburg Effect

Uncoupling the Warburg effect from cancer

A Najafov and DR Alessi
Proc Nat Acad Sci                                      www.pnas.org/cgi/doi/10.1073/pnas.1014047107
A remarkable trademark of most tumors is their ability to break down glucose by glycolysis at a vastly higher rate than in normal tissues, even when oxygen is copious. This phenomenon, known as the Warburg effect, enables rapidly dividing tumor cells to generate essential biosynthetic building blocks such as nucleic acids, amino acids, and lipids from glycolytic intermediates to permit growth and duplication of cellular components during  division (1). An assumption dominating research in this area is that the Warburg effect is specific to cancer. Thus, much of the focus has been on uncovering mechanisms by which cancer-causing mutations influence metabolism to stimulate glycolysis.

This has lead to many exciting discoveries. For example, the p53 tumor suppressor can suppress glycolysis through its ability to control expression of key metabolic genes, such as phosphoglycerate mutase (2), synthesis of cytochrome C oxidase-2 (3), and TP53-induced glycolysis and apoptosis regulator (TIGAR) (4). Many cancer-causing mutations lead to activation of the Akt and mammalian target of rapamycin (mTOR) pathway that profoundly influences metabolism and expression of metabolic enzymes to promoteglycolysis (5).

Strikingly, all cancer cells but not nontransformed cells express a specific splice variant of pyruvate kinase, termed M2-PK, that is less active, leading to the build up of phosphoenolpyruvate (6). Recent work has revealed that reduced activity of M2-PK promotes a unique glycolytic pathway in which phosphoenolpyruvate is converted to pyruvate by a histidine-dependent phosphorylation of phosphoglycerate mutase, promoting assimilation of glycolytic products into biomass (7). However, despite these observations, one might imagine that the Warburg effect need not be specific for cancer and that any normal cell would need to stimulate glycolysis to generate sufficient biosynthetic materials to fuel expansion and division.

Recent work by Salvador Moncada’s group published in PNAS (8) and other recent work from the same group (9, 10) provides exciting evidence supporting the idea that the Warburg effect is also required for the proliferation of noncancer cells.

The key discovery was that the anaphase promoting complex/cyclosome-Cdh1(APC/C-Cdh1), a master regulator of the transition of G1 to S phase of the cell cycle, inhibits glycolysis in proliferating noncancer cells by mediating the degradation of two key metabolic enzymes, namely 6-phosphofructo-2-kinase/ fructose-2,6-bisphosphatase isoform3 (PFKFB3) (9, 10) and glutaminase-(Fig. 1) (8).

Fig. 1. Mechanism by which APC_C-Cdh1 inhibits glycolysis and glutaminolysis to suppress cell proliferation

 

Fig.  Mechanism by which APC/C-Cdh1 inhibits glycolysis and glutaminolysis to suppress cell proliferation.

APC/C-Cdh1 E3 ligase recognizes KEN-box–containing metabolic enzymes, such as PFKFB3 and glutaminase-1 (GLS1), and ubiquitinates and targets them for proteasomal degradation. This inhibits glycolysis and glutaminolysis, leading to decrease in metabolites that can be assimilated into biomass, thereby suppressing proliferation.

PFKFB3 potently stimulates glycolysis by catalyzing the formation of fructose-2,6-bisphosphate, the allosteric activatorof 6-phosphofructo-1-kinase (11). Glutaminase-1 is the first enzyme in glutaminolysis, converting glutamine to lactate, yielding biosyntheticintermediates required for cell proliferation (12).

APC/C is a cell cycle-regulated E3 ubiquitin ligase that promotes ubiquitination of a distinct set of cell cycle proteins containing either a D-box (destruction box) or a KEN-box, named after the essential Lys-Glu-Asn motif required for APC recognition (13). Among its well-known substrates are crucial cell cycle proteins, such as cyclin B1, securin, and Plk1. By ubiquitinating and targeting its substrates to 26S proteasome-mediated degradation, APC/C regulates processes in late mitotic stage, exit  from mitosis, and several events in G1 (14). The Cdh1 subunit is the KENbox binding adaptor of the APC/C ligase and is essential for G1/S transition.

Importantly, APC/C-Cdh1 is inactivated at the initiation of the S-phase of the cell cycle when DNA and cellular organelles are replicated at the time of the greatest need for generation of biosynthetic materials. APC/C-Cdh1 is reactivated later at the mitosis/G1 phase of the cell cycle when there is a lower requirement for biomassgeneration.

Both PFKFB3 (9, 10) and glutaminase-1 (8) possess a KEN-box and are rapidly degraded in nonneoplastic lymphocytes during the cell cycle when APC/C-Cdh1 is active. Consistent with destruction being mediated by APC-C-Cdh1, ablation of the KEN-box prevents degradation of PFKFB3 (9, 10) and glutaminase-1 (8). Inhibiting the proteasomal-dependent degradation with the MG132 inhibitor

markedly increases levels of ubiquitinated PFKFB3 and glutaminase-1 (8). Moreover, overexpression of Cdh1 to activate APC/C-Cdh1 decreases levels of PFKFB3 as well as glutmaninase-1 and concomitantly inhibited glycolysis, as judged by decrease in lactate production. This effect is also observed when cells were treated with a glutaminase-1 inhibitor (6-diazo-5- oxo-L-norleucine) (8). The final evidence supporting the authors’ hypothesis is that proliferation and glycolysis is inhibited after shRNA-mediated silencing of either PFKFB3 or glutaminase-1 (8).

These results are interesting, because unlike most recent work in this area, Colombo et al. (8) link the Warburg effect to the machinery of the cell cycle that is present in all cells rather than to cancer driving mutations. Further work is required to properly define the overall importance of this pathway, which has thus far only been studied in a limited number of cells. It would also be of value to undertake a more detailed analysis of how the rate of glycolysis and other metabolic pathways vary during the cell cycle of normal and cancer cells…(see full 2 page article) at PNAS.

 

The Warburg Effect Suppresses Oxidative Stress Induced Apoptosis in a Yeast Model for Cancer

C Ruckenstuhl, S Buttner, D Carmona-Gutierre, et al.
PLoS ONE 2009; 4(2): e4592.  http://dx.doi.org/10.1371/journal.pone.0004592

Colonies of Saccharomyces cerevisiae, suitable for manipulation of mitochondrial respiration and shows mitochondria-mediated cell death, were used as a model. Repression of respiration as well as ROS-scavenging via glutathione inhibited apoptosis, conferred a survival advantage during seeding and early development of this fast proliferating solid cell population. In contrast, enhancement of respiration triggered cell death.

Conclusion/Significance: The Warburg effect might directly contribute to the initiation of cancer formation – not only by enhanced glycolysis – but also via decreased respiration in the presence of oxygen, which suppresses apoptosis.

 

PIM2 phosphorylates PKM2 and promotes Glycolysis in Cancer Cells
Z Yu, L Huang, T Zhang, et al.
J Biol Chem 2013;                               http://dx.doi.org/10.1074/jbc.M113.508226

http://www.jbc.org/cgi/doi/10.1074/jbc.M113.508226

Serine/threonine protein kinase PIM2, a known oncogene is a binding partner of pyruvate kinase M2 (PKM2), a key player in the Warburg effect of cancer cells.   PIM2 interacts with PKM2 and phosphorylates PKM2 on the Thr454 residue.

The phosphorylation of PKM2 increases glycolysis and proliferation in cancer cells.

The PIM2-dependent phosphoirylation of ZPKM2 is critical for regulating the Warburg effect in cancer.

 

Genome-Scale Metabolic Modeling Elucidates the Role of Proliferative Adaptation in Causing the Warburg Effect

Shlomi T, Benyamini T, Gottlieb E, Sharan R, Ruppin E
PLoS Comput Biol 2011; 7(3): e1002018.    http://dx.doi.org/10.1371/journal.pcbi.1002018
The Warburg effect – a classical hallmark of cancer metabolism – is a counter-intuitive phenomenon in which rapidly proliferating cancer cells resort to inefficient ATP production via glycolysis leading to lactate secretion, instead of relying primarily on more efficient energy production through mitochondrial oxidative phosphorylation, as most normal cells do.

The causes for the Warburg effect have remained a subject of considerable controversy since its discovery over 80 years ago, with several competing hypotheses. Here, utilizing a genome-scale human metabolic network model accounting for stoichiometric and enzyme solvent capacity considerations, we show that the Warburg effect is a direct consequence of the metabolic adaptation of cancer cells to increase biomass production rate. The analysis is shown to accurately capture a three phase metabolic behavior that is observed experimentally during oncogenic progression, as well as a prominent characteristic of cancer cells involving their preference for glutamine uptake over other amino acids.

 

The metabolic advantage of tumor cells

Maurice Israël and Laurent Schwartz

Additional article information

Abstract

1- Oncogenes express proteins of “Tyrosine kinase receptor pathways”, a receptor family including insulin or IGF-Growth Hormone receptors. Other oncogenes alter the PP2A phosphatase brake over these kinases.

2- Experiments on pancreatectomized animals; treated with pure insulin or total pancreatic extracts, showed that choline in the extract, preserved them from hepatomas.

Since choline is a methyle donor, and since methylation regulates PP2A, the choline protection may result from PP2A methylation, which then attenuates kinases.

3- Moreover, kinases activated by the boosted signaling pathway inactivate pyruvate kinase and pyruvate dehydrogenase. In addition, demethylated PP2A would no longer dephosphorylate these enzymes. A “bottleneck” between glycolysis and the oxidative-citrate cycle interrupts the glycolytic pyruvate supply now provided via proteolysis and alanine transamination. This pyruvate forms lactate (Warburg effect) and NAD+ for glycolysis. Lipolysis and fatty acids provide acetyl CoA; the citrate condensation increases, unusual oxaloacetate sources are available. ATP citrate lyase follows, supporting aberrant transaminations with glutaminolysis and tumor lipogenesis. Truncated urea cycles, increased polyamine synthesis, consume the methyl donor SAM favoring carcinogenesis.

4- The decrease of butyrate, a histone deacetylase inhibitor, elicits epigenic changes (PETEN, P53, IGFBP decrease; hexokinase, fetal-genes-M2, increase)

5- IGFBP stops binding the IGF – IGFR complex, it is perhaps no longer inherited by a single mitotic daughter cell; leading to two daughter cells with a mitotic capability.

6- An excess of IGF induces a decrease of the major histocompatibility complex MHC1, Natural killer lymphocytes should eliminate such cells that start the tumor, unless the fever prostaglandin PGE2 or inflammation, inhibit them…

Introduction

The metabolic network of biochemical pathways forms a system controlled by a few switches, changing the finality of this system. Specific substrates and hormones control such switches. If for example, glycemia is elevated, the pancreas releases insulin, activating anabolism and oxidative glycolysis, energy being required to form new substance or refill stores. If starvation decreases glycemia, glucagon and epinephrine activate gluconeogenesis and ketogenesis to form nutriments, mobilizing body stores. The different finalities of the system are or oriented by switches sensing the NADH/NAD+, the ATP/AMP, the cAMP/AMP ratios or the O2 supply… We will not describe here these metabolic finalities and their controls found in biochemistry books.

Many of the switches depend of the phosphorylation of key enzymes that are active or not. Evidently, there is some coordination closing or opening the different pathways. Take for example gluconeogenesis, the citrate condensation slows down, sparing OAA, which starts the gluconeogenic pathway. In parallel, one also has to close pyruvate kinase (PK); if not, phosphoenolpyruvate would give back pyruvate, interrupting the pathway. Hence, the properties of key enzymes acting like switches on the pathway specify the finality of the system. Our aim is to show that tumor cells invent a new specific finality, with mixed glycolysis and gluconeogenesis features. This very special metabolism gives to tumor cells a selective advantage over normal cells, helping the tumor to develop at the detriment of the rest of the body.

I Abnormal metabolism of tumors, a selective advantage

The initial observation of Warburg 1956 on tumor glycolysis with lactate production is still a crucial observation [1]. Two fundamental findings complete the metabolic picture: the discovery of the M2 pyruvate kinase (PK) typical of tumors [2] and the implication of tyrosine kinase signals and subsequent phosphorylations in the M2 PK blockade [35].

A typical feature of tumor cells is a glycolysis associated to an inhibition of apoptosis. Tumors over-express the high affinity hexokinase 2, which strongly interacts with the mitochondrial ANT-VDAC-PTP complex. In this position, close to the ATP/ADP exchanger (ANT), the hexokinase receives efficiently its ATP substrate [6,7]. As long as hexokinase occupies this mitochondria site, glycolysis is efficient. However, this has another consequence, hexokinase pushes away from the mitochondria site the permeability transition pore (PTP), which inhibits the release of cytochrome C, the apoptotic trigger [8]. The site also contains a voltage dependent anion channel (VDAC) and other proteins. The repulsion of PTP by hexokinase would reduce the pore size and the release of cytochrome C. Thus, the apoptosome-caspase proteolytic structure does not assemble in the cytoplasm. The liver hexokinase or glucokinase, is different it has less interaction with the site, has a lower affinity for glucose; because of this difference, glucose goes preferentially to the brain.

Further, phosphofructokinase gives fructose 1-6 bis phosphate; glycolysis is stimulated if an allosteric analogue, fructose 2-6 bis phosphate increases in response to a decrease of cAMP. The activation of insulin receptors in tumors has multiple effects, among them; a decrease of cAMP, which will stimulate glycolysis.

Another control point is glyceraldehyde P dehydrogenase that requires NAD+ in the glycolytic direction. If the oxygen supply is normal, the mitochondria malate/aspartate (MAL/ASP) shuttle forms the required NAD+ in the cytosol and NADH in the mitochondria. In hypoxic conditions, the NAD+ will essentially come via lactate dehydrogenase converting pyruvate into lactate. This reaction is prominent in tumor cells; it is the first discovery of Warburg on cancer.

At the last step of glycolysis, pyruvate kinase (PK) converts phosphoenolpyruvate (PEP) into pyruvate, which enters in the mitochondria as acetyl CoA, starting the citric acid cycle and oxidative metabolism. To explain the PK situation in tumors we must recall that PK only works in the glycolytic direction, from PEP to pyruvate, which implies that gluconeogenesis uses other enzymes for converting pyruvate into PEP. In starvation, when cells need glucose, one switches from glycolysis to gluconeogenesis and ketogenesis; PK and pyruvate dehydrogenase (PDH) are off, in a phosphorylated form, presumably following a cAMP-glucagon-adrenergic signal. In parallel, pyruvate carboxylase (Pcarb) becomes active. Moreover, in starvation, much alanine comes from muscle protein proteolysis, and is transaminated into pyruvate. Pyruvate carboxylase first converts pyruvate to OAA and then, PEP carboxykinase converts OAA to PEP etc…, until glucose. The inhibition of PK is necessary, if not one would go back to pyruvate. Phosphorylation of PK, and alanine, inhibit the enzyme.

Well, tumors have a PK and a PDH inhibited by phosphorylation and alanine, like for gluconeogenesis, in spite of an increased glycolysis! Moreover, in tumors, one finds a particular PK, the M2 embryonic enzyme [2,9,10] the dimeric, phosphorylated form is inactive, leading to a “bottleneck “. The M2 PK has to be activated by fructose 1-6 bis P its allosteric activator, whereas the M1 adult enzyme is a constitutive active form. The M2 PK bottleneck between glycolysis and the citric acid cycle is a typical feature of tumor cell glycolysis.

We also know that starvation mobilizes lipid stores from adipocyte to form ketone bodies, they are like glucose, nutriments for cells. Growth hormone, cAMP, AMP, activate a lipase, which provides fatty acids; their β oxidation cuts them into acetyl CoA in mitochondria and in peroxisomes for very long fatty acids; forming ketone bodies. Normally, citrate synthase slows down, to spare acetyl CoA for the ketogenic route, and OAA for the gluconeogenic pathway. Like for starvation, tumors mobilize lipid stores. But here, citrate synthase activity is elevated, condensing acetyl CoA and OAA [1113]; citrate increases, ketone bodies decrease. Consequently, ketone bodies will stop stimulating Pcarb. In tumors, the OAA needed for citrate synthase will presumably come from PEP, via reversible PEP carboxykinase or other sources. The quiescent Pcarb will not process the pyruvate produced by alanine transamination after proteolysis, leaving even more pyruvate to lactate dehydrogenase, increasing the lactate released by the tumor, and the NAD+ required for glycolysis.

Above the bottleneck, the massive entry of glucose accumulates PEP, which converts to OAA via mitochondria PEP carboxykinase, an enzyme requiring biotine-CO2-GDP. This source of OAA is abnormal, since Pcarb, another biotin-requiring enzyme, should have provided OAA. Tumors may indeed contain “morule inclusions” of biotin-enzyme [14] suggesting an inhibition of Pcarb, presumably a consequence of the maintained citrate synthase activity, and decrease of ketone bodies that normally stimulate Pcarb. The OAA coming via PEP carboxykinase and OAA coming from aspartate transamination or via malate dehydrogenase condenses with acetyl CoA, feeding the elevated tumoral citric acid condensation starting the Krebs cycle. Thus, tumors have to find large amounts of acetyl CoA for their condensation reaction; it comes essentially from lipolysis and β oxidation of fatty acids, and enters in the mitochondria via the carnitine transporter. This is the major source of acetyl CoA; since PDH that might have provided acetyl CoA remains in tumors, like PK, in the inactive phosphorylated form. The blockade of PDH [15] was recently reversed by inhibiting its kinase [16,17].

The key question is then to find out why NADH, a natural citrate synthase inhibitor did not switch off the enzyme in tumor cells. Probably, the synthesis of NADH by the dehydrogenases of the Krebs cycle and malate/aspartate shuttle, was too low, or the oxidation of NADH via the respiratory electron transport chain and mitochondrial complex1 (NADH dehydrogenase) was abnormally elevated. Another important point concerns PDH and α ketoglutarate dehydrogenase that are homologous enzymes, they might be regulated in a concerted way; when PDH is off, α ketoglutarate dehydrogenase might be also be slowed. Moreover, this could be associated to an upstream inhibition of aconinase by NO, or more probably to a blockade of isocitrate dehydrogenase, which favors in tumor cells, the citrate efflux from mitochondria, and the ATP citrate lyase route.

Normally, an increase of NADH inhibits the citrate condensation, favoring the ketogenic route associated to gluconeogenesis, which turns off glycolysis. Apparently, this regulation does not occur in tumors, since citrate synthase remains active. Moreover, in tumor cells, the α ketoglutarate not processed by
α ketoglutarate dehydrogenase converts to glutamate, via glutamate dehydrogenase, in this direction the reaction forms NAD+, backing up the LDH production. Other sources of glutamate are glutaminolysis, which increases in tumors [2].

The Figure Figure11 shows how tumors bypass the PK and PDH bottlenecks and evidently, the increase of glucose influx above the bottleneck, favors the supply of substrates to the pentose shunt, as pentose is needed for synthesizing ribonucleotides, RNA and DNA. The Figure Figure11 represents the stop below the citrate condensation. Hence, citrate quits the mitochondria to give via ATP citrate lyase, acetyl CoA and OAA in the cytosol of tumor cells. Acetyl CoA supports the synthesis of fatty acids and the formation of triglycerides. The other product of the ATP citrate lyase reaction, OAA, drives the transaminase cascade (ALAT and GOT transaminases) in a direction that consumes GLU and glutamine and converts in fine alanine into pyruvate and lactate plus NAD+. This consumes protein body stores that provide amino acids and much alanine (like in starvation).

The Figure Figure11 indicates that malate dehydrogenase is a source of NAD+ converting OAA into malate, which backs-up LDH. Part of the malate converts to pyruvate (malic enzyme) and processed by LDH. Moreover, malate enters in mitochondria via the shuttle and gives back OAA to feed the citrate condensation. Glutamine will also provide amino groups for the “de novo” synthesis of purine and pyrimidine bases particularly needed by tumor cells. The Figure Figure11 indicates that ASP shuttled out of the mitochondrial, joins the ASP formed by cytosolic transaminases, to feed the synthesis of pyrimidine bases via ASP transcarbamylase, a process also enhanced in tumor cells. In tumors, this silences the argininosuccinate synthetase step of the urea cycle [1820].

This blockade also limits the supply of fumarate to the Krebs cycle. The latter, utilizes the α ketoglutarate provided by the transaminase reaction, since α ketoglutarate coming via aconitase slows down. Indeed, NO and peroxynitrite increase in tumors and probably block aconitase. The Figure Figure11 indicates the cleavage of arginine into urea and ornithine. In tumors, the ornithine production increases, following the polyamine pathway. Ornithine is decarboxylated into putrescine by ornithine decarboxylase, then it captures the backbone of S adenosyl methionine (SAM) to form polyamines spermine then spermidine, the enzyme controlling the process is SAM decarboxylase. The other reaction product, 5-methlthioribose is then decomposed into methylthioribose and adenine, providing purine bases to the tumor. We shall analyze below the role of SAM in the carcinogenic mechanism, its destruction aggravates the process.

metabolic pathways 1476-4598-10-70-1
Cancer metabolism. Glycolysis is elevated in tumors, but a pyruvate kinase (PK) “bottleneck” interrupts phosphoenol pyruvate (PEP) to pyruvate conversion. Thus, alanine following muscle proteolysis transaminates to pyruvate, feeding lactate dehydrogenase,

In summary, it is like if the mechanism switching from gluconeogenesis to glycolysis was jammed in tumors, PK and PDH are at rest, like for gluconeogenesis, but citrate synthase is on. Thus, citric acid condensation pulls the glucose flux in the glycolytic direction, which needs NAD+; it will come from the pyruvate to lactate conversion by lactate dehydrogenase (LDH) no longer in competition with a quiescent Pcarb. Since the citrate condensation consumes acetyl CoA, ketone bodies do not form; while citrate will support the synthesis of triglycerides via ATP citrate lyase and fatty acid synthesis… The cytosolic OAA drives the transaminases in a direction consuming amino acid. The result of these metabolic changes is that tumors burn glucose while consuming muscle protein and lipid stores of the organism. In a normal physiological situation, one mobilizes stores for making glucose or ketone bodies, but not while burning glucose! Tumor cell metabolism gives them a selective advantage over normal cells. However, one may attack some vulnerable points.

Cancer metabolism. Glycolysis is elevated in tumors, but a pyruvate kinase (PK) “bottleneck” interrupts phosphoenol pyruvate (PEP) to pyruvate conversion. Thus, alanine following muscle proteolysis transaminates to pyruvate, feeding lactate dehydrogenase, converting pyruvate to lactate, (Warburg effect) and NAD+ required for glycolysis. Cytosolic malate dehydrogenase also provides NAD+ (in OAA to MAL direction). Malate moves through the shuttle giving back OAA in the mitochondria. Below the PK-bottleneck, pyruvate dehydrogenase (PDH) is phosphorylated (second bottleneck). However, citrate condensation increases: acetyl-CoA, will thus come from fatty acids β-oxydation and lipolysis, while OAA sources are via PEP carboxy kinase, and malate dehydrogenase, (pyruvate carboxylase is inactive). Citrate quits the mitochondria, (note interrupted Krebs cycle). In the cytosol, ATPcitrate lyase cleaves citrate into acetyl CoA and OAA. Acetyl CoA will make fatty acids-triglycerides. Above all, OAA pushes transaminases in a direction usually associated to gluconeogenesis! This consumes protein stores, providing alanine (ALA); like glutamine, it is essential for tumors. The transaminases output is aspartate (ASP) it joins with ASP from the shuttle and feeds ASP transcarbamylase, starting pyrimidine synthesis. ASP in not processed by argininosuccinate synthetase, which is blocked, interrupting the urea cycle. Arginine gives ornithine via arginase, ornithine is decarboxylated into putrescine by ornithine decarboxylase. Putrescine and SAM form polyamines (spermine spermidine) via SAM decarboxylase. The other product 5-methylthioadenosine provides adenine. Arginine deprivation should affect tumors. The SAM destruction impairs methylations, particularly of PP2A, removing the “signaling kinase brake”, PP2A also fails to dephosphorylate PK and PDH, forming the “bottlenecks”. (Black arrows = interrupted pathways).

 II Starters for cancer metabolic anomaly

1. Lessons from oncogenes

Following the discovery of Rous sarcoma virus transmitting cancer [21], we have to wait the work of Stehelin [22] to realize that this retrovirus only transmitted a gene captured from a previous host. When one finds that the transmitted gene encodes the Src tyrosine kinase, we are back again to the tyrosine kinase signals, similar to those activated by insulin or IGF, which control carbohydrate metabolism, anabolism and mitosis.

An up regulation of the gene product, now under viral control causes tumors. However, the captured viral oncogene (v-oncogene) derives from a normal host gene the proto-oncogene. The virus only perturbs the expression of a cellular gene the proto-oncogene. It may modify its expression, or its regulation, or transmit a mutated form of the proto-oncogene. Independently of any viral infection, a similar tumorigenic process takes place, if the proto-oncogene is translocated in another chromosome; and transcribed under the control of stronger promoters. In this case, the proto-oncogene becomes an oncogene of cellular origin (c-oncogene). The third mode for converting a prot-oncogene into an oncogene occurs if a retrovirus simply inserts its strong promoters in front of the proto-oncogene enhancing its expression.

It is impressive to find that retroviral oncogenes and cellular oncogenes disturb this major signaling pathway: the MAP kinases mitogenic pathways. At the ligand level we find tumors such Wilm’s kidney cancer, resulting from an increased expression of insulin like growth factor; we have also the erbB or V-int-2 oncogenes expressing respectively NGF and FGF growth factor receptors. The receptors for these ligands activate tyrosine kinase signals, similarly to insulin receptors. The Rous sarcoma virus transmits the src tyrosine kinase, which activates these signals, leading to a chicken leukemia. Similarly, in murine leukemia, a virus captures and retransmits the tyrosine kinase abl. Moreover, abl is also stimulated if translocated and expressed with the bcr gene of chromosome 22, as a fusion protein (Philadelphia chromosome). Further, ahead Ras exchanging protein for GTP/GDP, and then the Raf serine-threonine kinases proto-oncogenes are known targets for oncogenes. Finally, at the level of transcription factors activated by MAP kinases, one finds cjun, cfos or cmyc. An avian leucosis virus stimulates cmyc, by inserting its strong viral promoter. The retroviral attacks boost the mitogenic MAP kinases similarly to inflammatory cytokins, or to insulin signals, that control glucose transport and gycolysis.

In addition to the MAP kinase mitogenic pathway, tyrosine kinase receptors activate PI3 kinase pathways; PTEN phosphatase counteracts this effect, thus acting as a tumor suppressor. Recall that a DNA virus, the Epstein-Barr virus of infectious mononucleose, gives also the Burkitt lymphoma; the effect of the virus is to enhance PI3 kinase. Down stream, we find mTOR (the target of rapamycine, an immune-suppressor) mTOR, inhibits PP2A phosphatase, which is also a target for the simian SV40 and Polyoma viruses. Schematically, one may consider that the different steps of MAP kinase pathways are targets for retroviruses, while the different steps of PI3 kinase pathway are targets for DNA viruses. The viral-driven enhanced function of these pathways mimics the effects of their prolonged activation by their usual triggers, such as insulin or IGF; one then expects to find an associated increase of glycolysis. The insulin or IGF actions boost the cellular influx of glucose and glycolysis. However, if the signaling pathway gets out of control, the tyrosine kinase phosphorylations may lead to a parallel PK blockade [35] explaining the tumor bottleneck at the end of glycolysis. Since an activation of enyme kinases may indeed block essential enzymes (PK, PDH and others); in principle, the inactivation of phosphatases may also keep these enzymes in a phosphorylated form and lead to a similar bottleneck and we do know that oncogenes bind and affect PP2A phosphatase. In sum, a perturbed MAP kinase pathway, elicits metabolic features that would give to tumor cells their metabolic advantage.

2. The methylation hypothesis and the role of PP2A phosphatase

In a remarkable comment, Newberne [23] highlights interesting observations on the carcinogenicity of diethanolamine [24] showing that diethanolamine decreased choline derivatives and methyl donors in the liver, like does a choline deficient diet. Such conditions trigger tumors in mice, particularly in the B6C3F1 strain. Again, the historical perspective recalled by Newberne’s comment brings us back to insulin. Indeed, after the discovery of insulin in 1922, Banting and Best were able to keep alive for several months depancreatized dogs, treated with pure insulin. However, these dogs developed a fatty liver and died. Unlike pure insulin, the total pancreatic extract contained a substance that prevented fatty liver: a lipotropic substance identified later as being choline [25]. Like other lipotropes, (methionine, folate, B12) choline supports transmethylation reactions, of a variety of substrates, that would change their cellular fate, or action, after methylation. In the particular case concerned here, the removal of triglycerides from the liver, as very low-density lipoprotein particles (VLDL), requires the synthesis of lecithin, which might decrease if choline and S-adenosyl methionine (SAM) are missing. Hence, a choline deficient diet decreases the removal of triglycerides from the liver; a fatty liver and tumors may then form. In sum, we have seen that pathways exemplified by the insulin-tyrosine kinase signaling pathway, which control anabolic processes, mitosis, growth and cell death, are at each step targets for oncogenes; we now find that insulin may also provoke fatty liver and cancer, when choline is not associated to insulin.

We must now find how the lipotropic methyl donor controls the signaling pathway. We know that after the tyrosine kinase reaction, serine-threonine kinases take over along the signaling route. It is thus highly probable that serine-threonine phosphatases will counteract the kinases and limit the intensity of the insulin or insulin like signals. One of the phosphatases involved is PP2A, itself the target of DNA viral oncogenes (Polyoma or SV40 antigens react with PP2A subunits and cause tumors). We found a possible link between the PP2A phosphatase brake and choline in works on Alzheimer’s disease [26]. Indeed, the catalytic C subunit of PP2A is associated to a structural subunit A. When C receives a methyle, the dimer recruits a regulatory subunit B. The trimer then targets specific proteins that are dephosphorylated [27].

In Alzheimer’s disease, the poor methylation of PP2A is associated to an increase of homocysteine in the blood [26]. The result of the PP2A methylation failure is a hyperphosphorylation of Tau protein and the formation of tangles in the brain. Tau protein is involved in tubulin polymerization, controlling axonal flow but also the mitotic spindle. It is thus possible that choline, via SAM, methylates PP2A, which is targeted toward the serine-threonine kinases that are counteracted along the insulin-signaling pathway. The choline dependent methylation of PP2A is the brake, the “antidote”, which limits “the poison” resulting from an excess of insulin signaling. Moreover, it seems that choline deficiency is involved in the L to M2 transition of PK isoenzymes [28].

3. Cellular distribution of PP2A

In fact, the negative regulation of Ras/MAP kinase signals mediated by PP2A phosphatase seems to be complex. The serine-threonine phosphatase does more than simply counteracting kinases; it binds to the intermediate Shc protein on the signaling cascade, which is inhibited [29]. The targeting of PP2A towards proteins of the signaling pathway depends of the assembly of the different holoenzymes. The carboxyl methylation of C-terminal leucine 309 of the catalytic C unit, permits to a dimeric form made of C and a structural unit A, to recruit one of the many regulatory units B, giving a great diversity of possible enzymes and effects. The different methylated ABC trimers would then find specific targets. It is consequently essential to have more information on methyl transferases and methyl esterases that control the assembly or disassembly of PP2A trimeric forms.

A specific carboxyl methyltransferase for PP2A [30] was purified and shown to be essential for normal progression through mitosis [31]. In addition, a specific methylesterase that demethylates PP2A has been purified [32]. Is seems that the methyl esterase cancels the action of PP2A, on signaling kinases that increase in glioma [33]. Evidently, the cellular localization of the methyl transferase (LCMT-1) and the phosphatase methyl esterase (PME-1) are crucial for controlling PP2A methylation and targeting. Apparently, LCMT-1 mainly localizes to the cytoplasm and not in the nucleus, where PME-1 is present, and the latter harbors a nuclear localization signal [34]. From these observations, one may suggest that PP2A gets its methyles in the cytoplasm and regulates the tyrosine kinase-signaling pathway, attenuating its effects.

A methylation deficit should then decrease the methylation of PP2A and boost the mitotic insulin signals as discussed above for choline deficiency, steatosis and hepatoma. At the nucleus, where PME-1 is present, it will remove the methyl, from PP2A, favoring the formation of dimeric AC species that have different targets, presumably proteins involved in the cell cycle. It is interesting to quote here the structural mechanism associated to the demethylation of PP2A. The crystal structures of PME-1 alone or in complex with PP2A dimeric core was reported [35] PME-1 binds directly to the active site of PP2A and this rearranges the catalytic triad of PME-1 into an active conformation that should demethylate PP2A, but this also seems to evict a manganese required for the phosphatase activity. Hence, demethylation and inactivation would take place in parallel, blocking mitotic actions.

However, another player is here involved, the so-called PTPA protein, which is a PP2A phosphatase activator. Apparently, this activator is a new type of cis/trans of prolyl isomerase, acting on Pro190 of the catalytic C unit isomerized in presence of Mg-ATP [36], which would then cancel the inactivation mediated by PME-1. Following the PTPA action, the demethylated phosphatase would become active again in the nucleus, and stimulate cell cycle proteins [37,38] inducing mitosis. Unfortunately, the ligand of this new prolyl isomerase is still unknown. Moreover, we have to consider that other enzymes such as cytochrome P450 have also demethylation properties.

In spite of deficient methylations and choline dehydrogenase pathway, tumor cells display an enhanced choline kinase activity, associated to a parallel synthesis of lecithin and triglycerides.

The hypothesis to consider is that triglycerides change the fate of methylated PP2A, by targeting it to the nucleus, there a methylesterase demethylates it; the phosphatase attacks new targets such as cell cycle proteins, inducing mitosis. Moreover, the phosphatase action on nuclear membrane proteins may render the nuclear membrane permeable to SAM the general methyl donor; promoters get methylated inducing epigenetic changes.

The relative decrease of methylated PP2A in the cytosol, not only cancels the brake over the signaling kinases, but also favors the inactivation of PK and PDH, which remain phosphorylated, contributing to the metabolic anomaly of tumor cells.

In order to prevent tumors, one should then favor the methylation route rather than the phosphorylation route for choline metabolism. This would decrease triglycerides, promote the methylation of PP2A and keep it in the cytosol, reestablishing the brake over signaling kinases.

Hypoxia is an essential issue to discuss

Many adequate “adult proteins” replace their fetal isoform: muscle proteins utrophine, switches to dystrophine; enzymes such as embryonic M2 PK [39] is replaced by M1. Hypoxic conditions seem to trigger back the expression of the fetal gene packet via HIF1-Von-Hippel signals. The mechanism would depend of a double switch since not all fetal genes become active after hypoxia. First, the histones have to be in an acetylated form, opening the way to transcription factors, this depends either of histone deacetylase (HDAC) inhibition or of histone acetyltransferase (HAT) activation, and represents the main switch. Second, a more specific switch must be open, indicating the adult/fetal gene couple concerned, or more generally the isoform of a given gene that is more adapted to the specific situation. When the adult gene mutates, an unbound ligand may indeed indicate, directly or indirectly, the particular fetal copy gene to reactivate [40]. In anoxia, lactate is more difficult to release against its external gradient, leading to a cytosolic increase of up-stream glycolytic products, 3P glycerate or others. These products may then be a second signal controlling the specific switch for triggering the expression of fetal genes, such as fetal hemoglobin or the embryonic M2 PK; this takes place if histones (main switch) are in an acetylated form.

Growth hormone-IGF actions, the control of asymmetrical mitosis

When IGF – Growth hormone operate, the fatty acid source of acetyl CoA takes over. Indeed, GH stimulates a triglyceride lipase in adipocytes, increasing the release of fatty acids and their β oxidation. In parallel, GH would close the glycolytic source of acetyl CoA, perhaps inhibiting the hexokinase interaction with the mitochondrial ANT site. This effect, which renders apoptosis possible, does not occur in tumor cells. GH mobilizes the fatty acid source of acetyl CoA from adipocytes, which should help the formation of ketone bodies, but since citrate synthase activity is elevated in tumors, ketone bodies do not form.

Compounds for correcting tumor metabolism

The figure figure1 indicates interrupted and enhanced metabolic pathways in tumor cells.

In table table1,1, the numbered pathways represent possible therapeutic targets; they cover several enzymes. When the activity of the pathway is increased, one may give inhibitors; when the activity of the pathway decreases, we propose possible activators

Table - metabolic  targets

Table 1 Mol Cancer. 2011; 10 70. Published online Jun 7, 2011. doi  10.1186_1476-4598-10-70

The origin of Cancers by means of metabolic selection

The disruption of cells by internal or external compounds, releases substrates stimulating the tyrosine kinase signals for anabolism proliferation and stem cell repair, like for most oncogenes. If such signals are not limited, there is a parallel blockade of key metabolic enzymes by activated kinases or inhibited phosphatases. The result is a metabolism typical of tumor cells, which gives them a selective advantage; stabilized by epigenetic changes. A proliferation process, in which the two daughter cells divide, increases the tumor mass at the detriment of the body. Inevitable mutations follow.

Maurice Israël, et al. Mol Cancer. 2011;10:70-70.
Transcriptomics and Regulatory Processes

What are lncRNAs?

It was traditionally thought that the transcriptome would be mostly comprised of mRNAs, however advances in high-throughput RNA sequencing technologies have revealed the complexity of our genome. Non-coding RNA is now known to make up the majority of transcribed RNAs and in addition to those that carry out well-known housekeeping functions (e.g. tRNA, rRNA etc), many different types of regulatory RNAs have been and continue to be discovered.

Long noncoding RNAs (lncRNAs) are a large and diverse class of transcribed RNA molecules with a length of more than 200 nucleotides that do not encode proteins. Their expression is developmentally regulated and lncRNAs can be tissue- and cell-type specific. A significant proportion of lncRNAs are located exclusively in the nucleus. They are comprised of many types of transcripts that can structurally resemble mRNAs, and are sometimes transcribed as whole or partial antisense transcripts to coding genes. LncRNAs are thought to carry out important regulatory functions, adding yet another layer of complexity to our understanding of genomic regulation.

lncRNA-s   A summary of the various functions described for lncRNA

 

The evolution of genome-scale models of cancer metabolism
The importance of metabolism in cancer is becoming increasingly apparent with the identification of metabolic enzyme mutations and the growing awareness of the influence of metabolism on signaling, epigenetic markers, and transcription. However, the complexity of these processes has challenged our ability to make sense of the metabolic changes in cancer. Fortunately, constraint-based modeling, a systems biology approach, now enables one to study the entirety of cancer metabolism and simulate basic phenotypes. With the newness of this field, there has been a rapid evolution of both the scope of these models and their applications. (NE Lewis and AM.Abdel-Haleem. frontiers physiol  2013;4(237): 1   http://dx.doi.org/10.3389/fphys.2013.00237)

Here we review the various constraint-based models built for cancer metabolism and how their predictions are shedding new light on basic cancer phenotypes, elucidating pathway differences between tumors, and discovering putative anti-cancer targets. As the field continues to evolve, the scope of these genome-scale cancer models must expand beyond central metabolism to address questions related to the diverse processes contributing to tumor development and metastasis.

“One of the goals of cancer research is to ascertain the mechanisms of cancer.”These words, penned by Dulbecco (1986), began a treatise on how a mechanistic understanding of cancer requires a sequenced human genome. Now with the abundance of sequence data, we are finding diverse genetic changes among different cancers (Vogelstein et al.,2013). While we are cataloging these mutations, the associated mechanisms leading to phenotypic changes are often unclear since mutations occur in the context of complex biological networks. For example, mutations to isocitrate dehydrogenase lead to oncometabolite synthesis, which alters DNA methylation and ultimately changes gene expression and the balance of normal cell processes (Sasakietal.,2012). Furthermore, many different combinations of mutations can lead to cancer. Since the genetic heterogeneity between tumors can be large, the biomolecular mechanisms underlying tumor physiology can vary substantially.

This is apparent in metabolism, where tumors can differ in serine metabolism  dependence (Possematoetal., 2011) or TCA cycle function (Frezzaetal., 2011b). In addition, diverse mutations can alter NADPH synthesis by differentially regulat ing  signaling pathways, such as the AMPK pathway (Cairnsetal., 2011; Jeonetal., 2012). The challenges regarding complexity and heterogeneity in cancer metabolism are beginning to be addressed with the COnstraint-Based Reconstruction and Analysis (COBRA) approach (Hernández Patiñoetal., 2012; Sharma and König,  2013), an emerging field in systems biology.Specifically, it accounts for the complexity of the perturbed biochemical processes by using genome-scale metabolic network reconstructions (Duarteetal., 2007; Maetal., 2007;Thieleetal., 2013).

In a reconstruction, the stoichiometric chemical reactions in a cell are carefully annotated and stitched together into a large network, often containing thousands of reactions. Genes and enzymes associated with each reaction are also delineated. The networks are converted into computational models and analyzed using many algorithms (Lewisetal., 2012). COBRA approaches are also beginning to address heterogeneity in cancer by integrating experimental data with the reconstructions (Blazier and Papin, 2012; Hydukeetal., 2013)  to tailor the models to the unique gene expression profiles of general cancer tissue, and even individual cell lines and tumors. Here we describe the recent conceptual evolution that has occurred for constraint-based cancer modeling.

Targeting of  gene expression

Tumor Suppressor Genes and its Implications in Human Cancer

Gain-of-function mutations in oncogenes and loss-of-function mutations in tumor suppressor genes (TSG) lead to cancer. In most human cancers, these mutations occur in somatic tissues. However, hereditary forms of cancer exist for which individuals are heterozygous for a germline mutation in a TSG locus at birth. The second allele is frequently inactivated by gene deletion, point mutation, or promoter methylation in classical TSGs that meet Knudson’s two-hit hypothesis. Conversely, the second allele remains as wild-type, even in tumors in which the gene is haplo-insufficient for tumor suppression. (K Inoue, EA Fry and Pj Taneja. Recent Progress in Mouse Models for Tumor Suppressor Genes and its Implications in Human Cancer. Clinical Medicine Insights: Oncology2013:7 103–122). This article highlights the importance of PTEN, APC, and other tumor suppressors for counteracting aberrant PI3K, β-catenin, and other oncogenic signaling pathways. We discuss the use of gene-engineered mouse models (GEMM) of human cancer focusing on Pten and Apc knockout mice that recapitulate key genetic events involved in initiation and progression of human neoplasia.

Targeting cancer metabolism – aiming at a tumour’s sweet-spot
Neil P. Jones and Almut Schulze
Drug Discovery Today   January 2012

Targeting cancer metabolism has emerged as a hot topic for drug discovery. Most cancers have a high demand for metabolic inputs (i.e. glucose/glutamine), which aid proliferation and survival. Interest in targeting cancer metabolism has been renewed in recent years with the discovery that many cancer related (e.g. oncogenic and tumor suppressor) pathways have a profound effect on metabolism and that many tumors become dependent on specific metabolic processes. Considering the recent increase in our understanding of cancer metabolism and the increasing knowledge of the enzymes and pathways involved, the question arises: could metabolism be cancer’s Achilles heel?
During recent years, interest into the possible therapeutic benefit of targeting metabolic pathways in cancer has increased dramatically with academic and pharmaceutical groups actively pursuing this aspect of tumor physiology. Therefore, what has fuelled this revived interest in targeting cancer metabolism and what are the major advances and potential challenges faced in the race to develop new therapeutics in this area? This review will attempt to answer these questions and illustrate why we, and others, believe that targeting metabolism in cancer presents such a promising therapeutic rationale.

Oncogenes and cancer metabolism
Glycolysis  TCA cycle  Pentose phosphate pathway

 FIGURE 1

Schematic representation of the regulation of cancer metabolism pathways. Metabolic enzymes are regulated by signaling pathways involving oncogenes and tumor suppressors. Complex regulatory mechanisms, key pathway interactions and enzymes are shown along with key metabolic endpoints (shown in purple) necessary for proliferation and survival (biosynthetic intermediates and NADPH). Key oncogenic pathways are shown in green and key tumor suppressor pathways are shown in red. Mutant IDH (mIDH) pathway is listed but is only functional in cancers containing mIDH.

FIGURE 2

Schematic representation of key components of the pentose phosphate pathway (PPP). Key enzymes are shown in blue boxes and key intermediates in purple text/box outline. DNA damage can activate ATM which in turn activates G6PDH to upregulate nucleotide synthesis for DNA repair and NAPDH to combat reactive oxygen species. PPP is also regulated by the tumour suppressor p53. The PPP can function as two separate branches (oxidative and non-oxidative) or be coupled into a recycling pathway – the pentose phosphate shunt – for maximum NADPH production.

Serine biosynthesis

Another branch diverting from glycolysis recently implicated in cancer is the serine biosynthesis pathway which converts the glycolytic intermediate 3-phosphoglycerate into serine (Fig. 3). Serine is an amino acid and an important neurotransmitter but can also provide fuel for the synthesis of other amino acids and nucleotides. The serine biosynthesis pathway also provides another key metabolic intermediate, a-KG, from glutamate breakdown via the action of phosphoserine aminotransferase (PSAT1). This pathway couples glycolysis (via 3-phosphoglycerate) with glutaminolysis (via glutamate), thereby linking two metabolic pathways known to be activated in many cancers.

FIGURE 3

Schematic representation of the serine biosynthesis pathway. Synthesis of serine involves integration of metabolites from glycolysis and  glutaminolysis pathways  and generates a-ketoglutarate, a key biosynthetic intermediate, and serine. Serine has many essential uses in the cell including amino acid, phospholipid and nucleotide synthesis.

 

Silencing of tumor suppressor genes by recruiting DNA methyltransferase 1 (DNMT1)

Ubiquitin-like containing PHD and Ring finger 1 (UHRF1) contributes to silencing of tumor suppressorgenes by recruiting DNA methyltransferase 1 (DNMT1) to their hemi-methylated promoters. Conversely,demethylation of these promoters has been ascribed to the natural anti-cancer drug, epigallocatechin-3-gallate (EGCG). The aim of the present study was to investigate whether the UHRF1/DNMT1 pair is an important target of EGCG action.  (Mayada Achour, et al. Epigallocatechin-3-gallate up-regulates tumor suppressor gene expression via a reactive oxygen species-dependent down-regulation of UHRF1.  Biochemical and Biophysical Research Communications 430 (2013) 208–212.    http://dx.doi.org/10.1016/j.bbrc.2012.11.087)

Here, we show that EGCG down-regulates UHRF1 and DNMT1 expression in Jurkat cells, with subsequent up-regulation of p73 and p16INK4A genes. The down-regulation of UHRF1 is dependent upon the generation of reactive oxygen species by EGCG. Up-regulation of p16INK4A  is strongly correlated with decreased promoter binding by UHRF1. UHRF1 over-expression counteracted EGCG-induced G1-arrested cells, apoptosis, and up-regulation of p16INK4A and p73. Mutants of the Set and Ring Associated (SRA) domain of UHRF1 were unable to down-regulate p16INK4A and p73, either in the presence or absence of EGCG. Our results show that down-regulation of UHRF1 is upstream to many cellular events, including G1 cell arrest, up-regulation of tumor suppressor genes and apoptosis.

Tumor Suppressor Activity of a Constitutively-Active ErbB4 Mutant

ErbB4 (HER4) is a member of the ErbB family of receptor tyrosine kinases, which includes the Epidermal Growth Factor Receptor (EGFR/ErbB1), ErbB2 (HER2/Neu), and ErbB3 (HER3). Mounting evidence indicates that ErbB4, unlike EGFR or ErbB2, functions as a tumor suppressor in many human malignancies. Previous analyses of the constitutively-dimerized and –active ErbB4 Q646C mutant indicate that ErbB4 kinase activity and phosphorylation of ErbB4 Tyr1056 are both required for the tumor suppressor activity of this mutant in human breast, prostate, and pancreatic cancer cell lines. However, the cytoplasmic region of ErbB4 possesses additional putative functional motifs, and the contributions of these functional motifs to ErbB4 tumor suppressor activity have been largely underexplored.  (Citation: Richard M. Gallo, et al. (2013) Multiple Functional Motifs Are Required for the Tumor Suppressor Activity of a Constitutively-Active ErbB4 Mutant. J Cancer Res Therap Oncol 1: 1-10)

Here we demonstrate that ErbB4 BH3 and LXXLL motifs, which are thought to mediate interactions with Bcl family proteins and steroid hormone receptors, respectively, are required for the tumor suppressor activity of the ErbB4 Q646C mutant. Furthermore, abrogation of the site of ErbB4 cleavage by gamma-secretase also disrupts the tumor suppressor activity of the ErbB4 Q646C mutant. This last result suggests that ErbB4 cleavage and subcellular trafficking of the ErbB4 cytoplasmic domain may be required for the tumor suppressor activity of the ErbB4 Q646C mutant. Indeed, here we demonstrate that mutants that disrupt ErbB4 kinase activity, ErbB4 phosphorylation at Tyr1056, or ErbB4 cleavage by gamma-secretase also disrupt ErbB4 trafficking away from the plasma membrane and to the cytoplasm. This supports a model for ErbB4 function in which ErbB4 tumor suppressor activity is dependent on ErbB4 trafficking away from the plasma membrane and to the cytoplasm, mitochondria, and/or the nucleus.

EGF Receptor

 Initiation of pancreatic ductal adenocarcinoma (PDA) is definitively linked to activating mutations in the KRAS oncogene. However, PDA mouse models show that mutant Kras expression early in development gives rise to a normal pancreas, with tumors forming only after a long latency or pancreatitis induction.

(CM Ardito,BM Gruner. ,EGF Receptor Is Required for KRAS-Induced Pancreatic Tumorigenesis.  http://dx.doi.org/10.1016/j.ccr.2012.07.024)

Here, we show that oncogenic KRAS upregulates endogenous EGFR expression and activation, the latter being dependent on the EGFR ligand sheddase, ADAM17. Genetic ablation or pharmacological inhibition of EGFR or ADAM17 effectively eliminates KRAS-driven tumorigenesis in vivo. Without EGFR activity, active RAS levels are not sufficient to induce robust MEK/ERK activity, a requirement for epithelial transformation

The almost universal lethality of PDA has led to the intense study of genetic mutations responsible for its formation and progression. The most common oncogenic mutations associated with all PDA stages are found in the KRAS gene, suggesting it as the primary initiator of pancreatic neoplasia. However, mutant Kras expression throughout the mouse pancreatic parenchyma shows that the oncogene remains largely indolent until secondary events, such as pancreatitis, unlock its transforming potential. We find KRAS requires an inside-outside-in signaling axis that involves ligand-dependent EGFR activation to initiate the signal transduction and cell biological changes that link PDA and pancreatitis. (Cancer Cell (2012); 22: 304–317).

HER4 (EGFR/ErbB, HER2/Neu, HER3)

 ErbB4 (HER4) is a member of the ErbB family of receptor tyrosine kinases, which includes the Epidermal Growth Factor Receptor (EGFR/ErbB1), ErbB2 (HER2/Neu), and ErbB3 (HER3). Mounting evidence indicates that ErbB4, unlike EGFR or ErbB2, functions as a tumor suppressor in many human malignancies. Previous analyses of the constitutively-dimerized and –active ErbB4 Q646C mutant indicate that ErbB4 kinase activity and phosphorylation of ErbB4 Tyr1056 are both required for the tumor suppressor activity of this mutant in human breast, prostate, and pancreatic cancer cell lines. However, the cytoplasmic region of ErbB4 possesses additional putative functional motifs, and the contributions of these functional motifs to ErbB4 tumor suppressor activity have been largely underexplored.

ErbB4 Possesses Multiple Functional Motifs and Mutations Have Been Engineered to Target These Motifs.

The organization of ErbB4 is as indicated in this schematic. The extracellular ligand-binding motifs reside in the amino-terminal region upstream of amino acid residue 651. The singlepass transmembrane domain consists of amino acid residues 652-675. The cytoplasmic tyrosine kinase domain consists of amino acid residues 713-989. The majority of cytoplasmic sites of tyrosine phosphorylation reside in amino acid residues 990-1308, most notably Tyr1056. Additional putative functional motifs include a TACE cleavage site, a gamma-secretase cleavage site, two LXXLL (steroid hormone receptor binding) motifs, a BH3 domain, three WW domain binding motifs, and a PDZ domain binding motif. Mutations that disrupt these motifs are noted. Finally, note the two locations of alternative transcriptional splicing, resulting in a total of four different splicing isoforms.

 

 

 

Here we demonstrate that ErbB4 BH3 and LXXLL motifs, which are thought to mediate interactions with Bcl family proteins and steroid hormone receptors, respectively, are required for the tumor suppressor activity of the ErbB4 Q646C mutant. Furthermore, abrogation of the site of ErbB4 cleavageby gamma-secretase also disrupts the tumor suppressor activity of the ErbB4 Q646C mutant. This last result suggests that ErbB4 cleavage and subcellular trafficking of the ErbB4 cytoplasmic domain may be required for the tumor suppressor activity of the ErbB4 Q646C mutant. Indeed, here we demonstrate that mutants that disrupt ErbB4 kinase activity, ErbB4 phosphorylation at Tyr1056, or ErbB4 cleavage by gamma-secretase also disrupt ErbB4 trafficking away from the plasma membrane and to the cytoplasm. This supports a model for ErbB4 function in which ErbB4 tumor suppressor activity is dependent on ErbB4 trafficking away from the plasma membrane and to the cytoplasm, mitochondria, and/or the nucleus.

(Richard M. Gallo, et al. (2013) Multiple Functional Motifs Are Required for the Tumor Suppressor Activity of a Constitutively-Active ErbB4 Mutant. J Cancer Res Therap Oncol 1: 1-10)

Resistance to Receptor Tyrosine Kinase Inhibition

Receptor tyrosine kinases (RTKs) are activated by somatic genetic alterations in a subset of cancers, and such cancers are often sensitive to specific inhibitors of the activated kinase. Two well-established examples of this paradigm include lung cancers with either EGFR mutations or ALK translocations. In these cancers, inhibition of the corresponding RTK leads to suppression of key downstream signaling pathways, such as the PI3K (phosphatidylinositol 3-kinase)/AKT and MEK (mitogen-activated protein kinase kinase)/ERK (extracellular signal–regulated kinase) pathways, resulting in cell growth arrest and death. Despite the initial clinical efficacy of ALK (anaplastic lymphoma kinase) and EGFR (epidermal growth factor receptor) inhibitors in these cancers, resistance invariably develops, typically within 1 to 2 years. (MJ Niederst and JA Engelman. Sci Signal, 24 Sep 2013; 6(294), p. re6 .  http://dx.doi.org/10.1126/scisignal.2004652)

Over the past several years, multiple molecular mechanisms of resistance have been identified, and some common themes have emerged. One is the development of resistance mutations in the drug target that prevent the drug from effectively inhibiting the respective RTK. A second is activation of alternative RTKs that maintain the signaling of key downstream pathways despite sustained inhibition of the original drug target. Indeed, several different RTKs have been implicated in promoting resistance to EGFR and ALK inhibitors in both laboratory studies and patient samples. In this mini-review, we summarize the concepts underlying RTK-mediated resistance, the specific examples known to date, and the challenges of applying this knowledge to develop improved therapeutic strategies to prevent or overcome resistance.

The TGF-β Pathway

Aberrations in the enzymes that modify ubiquitin moieties have been observed to cause a myriad of diseases, including cancer. Therefore a better understanding of these enzymes and their substrates will lead to the identification of prospective druggable targets. Here we discuss the role of ubiquitin modifying enzymes in the canonical TGF-β pathway highlighting the ubiquitin regulating enzymes, which may potentially be targeted by small molecule inhibitors. (Pieter Eichhorn. (DE) -Ubiquitination in The TGF-β Pathway. J Cancer Res Therap Oncol 2013; 1: 1-6).

TGF-β is a multifunctional cytokine that plays a key role in embryogenesis and adult tissue homoeostasis. TGF-β is secreted by a myriad of cell types triggering a varied array of cellular functions including apoptosis, proliferation, migration, endothelial and mesenchymal transition, and extracellular matrix production. Downstream TGFβ responses can also be modulated by other signalling pathways (i.e. PI3K, ERK, WNT, etc.) resulting in a complex web of TGF-β pathway activation or repression depending on the nature of the signal and cellular context. Apart from TGF-β mediated cell autonomous effects TGF-β can further play an important function in regulating tumour microenvironments effecting the interaction between stromal fibroblasts and tumour cells.
Due to the central role of TGF-β in cellular processes it is therefore unsurprising that loss of TGF-β pathway integrity is frequently observed in a variety of human diseases, including cancer. However, the TGF-β pathway plays a complex dual role in cancer. In normal epithelial cells and premalignant cells TGF-β acts a potent tumor suppressor eliciting a cytostatic response inhibiting tumor progression. Supporting this notion, inactivating mutations in members of the TGF-βpathway have been observed in a variety of cancers including pancreatic, colorectal, and head and neck cancer.

In contrast, during tumor progression the TGF-β antiproliferative function is lost, and in certain advanced cancers TGF-β becomes an oncogenic factor inducing cellular proliferation, invasion, angiogenesis, and immune suppression. As a consequence, the TGFβ pathway is currently considered a therapeutic target in advanced cancers and several anti- TGF-β agents in clinical trials have shown promising results. However, due to the complex dichotomous role of TGF-β in oncogenesis a detailed understanding of TGF-β biology is required in order to design successful therapeutic strategies to identify patient populations that will benefit most from these compounds.

G protein receptor

 G protein-coupled receptors (GPCRs) modulate a vast array of cellular processes. The current review gives an overview of the general characteristics of GPCRs and their role in physiological conditions. In addition, it describes the current knowledge of the physiological and pathophysiological functions of GPR55, an orphan GPCR, and how it can be exploited as a therapeutic target to combat various cancers.

(D Leyva-Illades, S DeMorrow . Orphan G protein receptor GPR55 as an emerging target in cancer therapy and management.  Cancer Management and Research 2013:5 147–155)

Signal transduction is essential for maintaining cellular homeostasis and to coordinate the activity of cells in all organisms. Proteins localized in the cell membrane serve as the interface between the outside and inside of the cell. G protein-coupled receptors (GPCRs) are the largest and most diverse group of membrane receptors in eukaryotes and are encoded by at least 800 genes in the human genome. GPCRs are also known as seven-transmembrane domain receptors, 7TM receptors, heptahelical receptors, serpentine receptors, and G protein-linked receptors. GPCRs can detect an expansive array of extracellular signals or ligands that include photons, ions, odors, pheromones, hormones, and neurotransmitters. Nonsensory GPCRs (excluding light, odor, and taste receptors) have been classified into four families: class A rhodopsin-like, class B secretin-like, class C metabotropic glutamate/pheromone, and frizzled receptors. They have a peculiar structure that has been highly conserved over the course of evolution and are made up of an amino acid chain, the N-terminal of which is localized outside of the cellular membrane and the C-terminal in the cytoplasm. The amino acid chain spans the cellular membrane seven times and has three intracellular and three extracellular loops.

GPCRs are called that because they exert their actions by associating with a family of heterotrimeric proteins (made up of α, β, and γ subunits) that are capable of binding and hydrolyzing guanosine triphosphate (GTP).To date, 16 different α subunits, five β subunits, and 11 γ subunits have been described in mammalian tissues. When activated, these receptors undergo conformational changes that are mechanically transduced to the G proteins, which then initiate a cycle of activation and inactivationassociated with the binding and hydrolysis of GTP. Activated G proteins can then positively or negatively modulate ion channels (mainly potassium and calcium) or the second messenger generating enzymes (ie, adenylate cyclase and phospholipase C [PLC]) that allow the signal to be propagated to the interior of the cell to ultimately affect cell function.

 Matrix Metalloproteinases

Degradation of extracellular matrix is crucial for malignant tumour growth, invasion, metastasis and angiogenesis. Matrix metalloproteinases (MMPs) are a family of zinc-dependent neutral endopeptidases collectively capable of degrading essentially all  components of the ECM. Elevated levels of distinct MMPs can be detected in tumour tissue or serumof patients with advanced cancer and their role as prognostic indicators in cancer is studied. In addition, therapeutic intervention of tumour growth and invasion based on inhibition of MMP activity is under intensive investigation and several MMP inhibitors are in clinical trials in cancer. In this review, we discuss the current view on the feasibility of MMPs as prognostic markers and as targets for therapeutic intervention in cancer.

(MATRIX METALLOPROTEINASES IN CANCER: PROGNOSTIC MARKERS AND THERAPEUTIC TARGETS.

Pia Vihinen and Veli-Matti Kahari.  Int. J. Cancer 2002;99: 157–166. http://dx.doi.org/10.1002/ijc.10329

Common properties of the MMPs include the requirement of zinc in their catalytic site for activity and their synthesis as inactive zymogens that generally need to be proteolytically cleaved to be active. Normally the MMPs are expressed only when and where needed for tissue remodeling accompanies various processes such as during embryonic development, wound healing, uterine and mammary involution, cartilage-to-bone transition during ossification, and trophoblast invasion into the endometrial stoma during placenta development. However, aberrant expression of various MMPs has been correlated with pathological conditions, such as periodontitis, rheumatoid arthritis, and tumor cell invasion and metastasis .

There are now over 20 members of the MMP family, and they can be subgrouped based on their structures. The minimal domain structure consists of a signal peptide, prodomain, and catalytic domain. The propeptide domain contains a conserved cysteine residue (the “cysteine switch”) that coordinates to the catalytic zinc to maintain inactivity. MMPs with only the minimal domain are referred to as matrilysins (MMP-7 and -26). The most common structures for secreted MMPs, including collagenases and stromelysins, have an additional hemopexin-like domain connected by a hinge region to the catalytic domain (MMP-1, -3, -8, -10, -12, -13, -19, and -20).

Terms: 1FN, fibronectin; 2M, 2-macroglobulin; 1PI, 1-proteinase inhibitor; COMP, cartilage oligomeric matrix protein; ND, not determined; TACE, TNF-converting enzyme; OP, osteopontin

FIGURE 1 – Structure of human matrix metalloproteinases

 

FIGURE 1 – Structure of human matrix metalloproteinases. The signal peptide directs the proenzyme for secretion. The propeptide contains a conserved sequence (PRCGxPD), in which the cysteine forms a covalent bond (cysteine switch), with the catalytic zinc (Zn2_) to maintain the latency of proMMPs. Catalytic domain contains the highly conserved zinc binding site (HExGHxxGxxHS) in which Zn2_is coordinated by 3 histidines. The proline-rich hinge region links the catalytic domain to the hemopexin domain, which determines the substrate specificity of specific MMPs. The hemopexin domain is absent in matrilysin (MMP-7) and matrilysin-2 (endometase, MMP-26). Gelatinases  A and B (MMP-2 and MMP-9, respectively) contain 3 repeats of the fibronectin-type II domain inserted in the catalytic domain. MT1-, MT2-, MT3- and MT5-MMP contain a transmembrane domain and MT4- and MT6-MMPs contain a glycosylphosphatidylinositol (GPI) anchor in the C-terminus of the molecule, which attach these MMPs to the cell surface. MT-MMPs, MMP-11, MMP-23 and MMP-28 contain a furin cleavage site (RxKR) between the propeptide and catalytic domain, making these proenzymes susceptible to activation by intracellular furin convertases. MMP-23 contains an N-terminal signal anchor, which anchors proMMP-23 to the Golgi complex and has a different C-terminal domain instead of hemopexin-like domain.

The physiologic expression of MMP-13 in vivo is limited to situations, such as fetal bone development and fetal wound repair, in which rapid remodeling of collagenous ECM is required. MMP-13 is expressed in pathologic conditions, such as arthritis, chronic dermal and intestinal ulcers, chronic periodontal inflammation and atherosclerotic plaques. The expression of MMP-13 is detected in vivo in invasive malignant tumours, breast carcinomas, squamous cell carcinomas (SCCs) of the head and neck and vulva, malignant melanomas, chondrosarcomas and urinary bladder carcinomas.

Table I. Human MMPS, their chromosomal localization, substrates, exogenous activators, and activating capacity1
Enzyme Chromosomal location Substrates Activated by Activator of
  • FN, fibronectin; 2M, 2-macroglobulin; 1PI, 1-proteinase inhibitor; COMP, cartilage oligomeric matrix protein; ND, not determined; TACE, TNF-converting enzyme; OP, osteopontin.

    …………..

Collagenases
 Collagenase-1 (MMP-1) 11q22.2-22.3 Collagen I, II, III, VII, VIII, X, aggregan, serpins, 2M MMP-3, -7, -10, plasmin kallikrein, chymase MMP-2
 Collagenase-2 (MMP-8) 11q22.2-22.3 Collagen I, II, III, aggregan, serpins, 2M MMP-3, -10, plasmin ND
 Collagenase-3 (MMP-13) 11q22.2-22.3 Collagen I, II, III, IV, IX, X, XIV, gelatin, FN, laminin, large tenascin aggrecan, fibrillin, osteonectin, serpins MMP-2, -3, -10, -14, -15, plasmin MMP-2, -9
Stromelysins
 Stromelysin-1 (MMP-3) 11q22.2-22.3 Collagen IV, V, IX, X, FN, elastin, gelatin, laminin, aggrecan, nidoge fibrillin*, osteonectin*, 1PI*, myelin basic protein*, OP, E-cadherin Plasmin, kallikrein, chymas tryptase MMP-1, -8, -9, -13
 Stromelysin-2 (MMP-10) 11q22.2-3 As MMP-3, except * Elastase, cathepsin G MMP-1, -7, -8, -9, -13
Stromelysin-like MMPs
 Stromelysin-3 (MMP-11) 22q11.2 Serine proteinase inhibitors, 1PI Furin ND
 Metalloelastase (MMP-12) 11q22.2-22.3 Collagen IV, gelatin, FN, laminin, vitronectin, elastin, fibrillin, 1-PI, myelin basic protein, apolipoprotein A ND ND
Matrilysins
 Matrilysin (MMP-7) 11q22.2-22.3 Elastin, FN, laminin, nidogen, collagen IV, tenascin, versican, 1PI, O E-cadherin, TNF- MMP-3, plasmin MMP-9
 Matrilysin-2 (MMP-26) 11q22.2 Gelatin, 1PI, synthetic MMP-substrates, TACE-substrate ND ND
Gelatinases
 Gelatinase A (MMP-2) 16q13 Gelatin, collagen I, IV, V, VII, X, FN, tenascin, fibrillin, osteonectin, Monocyte chemoattractant protein 3 MMP-1, -13, -14, -15, -16, -tryptase? MMP-9, -13
 Gelatinase B (MMP-9) 20q12-13 Gelatin, collagen IV, V, VII, XI, XIV, elastin, fibrillin, osteonectin 2 MMP-2, -3, 7, -13, plasmin, trypsin, chymotrypsin, cathepsin G ND
Membrane-type MMPs
 MT1-MMP (MMP-14) 14q12.2 Collagen I, II, III, gelatin, FN, laminin, vitronectin, aggrecan, tenasci nidogen, perlecan, fibrillin, 1PI, 2M, fibrin Plasmin, furin MMP-2, -13
 MT2-MMP (MMP-15) 16q12.2 FN, laminin, aggrecan, tenascin, nidogen, perlecan ND MMP-2, -13

 

MMP expression and activity are regulated at several levels. In most cases, MMPs are not synthesized until needed. Transcription can be induced by various signals including cytokines, growth factors, and mechanical stress. In certain cases, regulation of mRNA stability and translational efficiencyhave been reported. Because most MMPs are secreted as inactive zymogens, they need to be activated, usually by proteolytic cleavage of their NH2-terminal prodomains. Some MMPs are activated by other serine proteases such as plasmin and furin, whereas some of the MMPs can activate other members of their family. The most well characterized is the activation of pro-MMP-2 by MT1-MMP.

A number of MMPs have been strongly implicated in multiple stages of cancer progression including the acquisition of invasive and metastatic properties. Thus, efforts have been made for the past 20 years to develop MMPIs that can be used to halt the spread of cancer, which is what ultimately kills the person. However, initial clinical trials using first generation MMPIs proved to be disappointing . In the ensuing years, much has been learned about the roles of specific MMPs in the different processes of carcinogenesis and more specific MMPIs are being developed and brought to clinical trials.

However, the dosing and scheduling for optimal efficacy is not the same as required for conventional cytotoxic drugs because the MMPIs do not directly kill cancer cells, but instead target such processes as angiogenesis (the development of new blood vessels), invasion, and metastatic spread. (Matrix Metalloproteinases, Angiogenesis, and Cancer. Joyce E. Rundhaug.  Commentary re: A. C. Lockhart et al., Reduction of Wound Angiogenesis in Patients Treated with BMS-275291, a Broad Spectrum Matrix Metalloproteinase Inhibitor. Clin. Cancer Res., 2003; 9551–554).

 Role of p38 MAP Kinase Signal Transduction in Solid Tumors

HK Koul, M Pal, and S Koul. Genes & Cancer  2013 ; 4(9-10) 342–359.  http://dx.doi.org/10.1177/ 1947601913507951

Mitogen-activated protein kinases (MAPKs) mediate a wide variety of cellular behaviors in response to extracellular stimuli. One of the main subgroups, the p38 MAP kinases, has been implicated in a wide range of complex biologic processes, such as cell proliferation, cell differentiation, cell death, cell migration, and invasion. Dysregulation of p38 MAPK levels in patients are associated with advanced stages and short survival in cancer patients (e.g., prostate, breast, bladder, liver, and lung cancer). p38 MAPK plays a dual role as a regulator of cell death, and it can either mediate cell survival or cell death depending not only on the type of stimulus but also in a cell type specific manner. In addition to modulating cell survival, an essential role of p38 MAPK in modulation of cell migration and invasion offers a distinct opportunity to target this pathway with respect to tumor metastasis. The specific function of p38 MAPK appears to depend not only on the cell type but also on the stimuli and/or the isoform that is activated.

Mitogen-activated protein kinase (MAPK) signal transduction pathways are evolutionarily conserved among eukaryotes and have been implicated to play key roles in a number of biological processes, including cell growth, differentiation, apoptosis, inflammation, and responses to environmental stresses.

They are typically organized in 3-tiered architecture consisting of a MAPK, a MAPK activator (MAPK kinase), and a MAPKK activator (MAPKK kinase). The MAPK pathways can be regulated at multiple levels as well as via multiple mechanisms, of which the regulation of mitogen-activated protein kinase kinase kinase (MAPKKK/MAP3K) has been proved to be the most challenging due to the great diversity and versatility between different modules at this level. The complex array of growth factors and other ligands that can initiate intracellular cell signaling requires a very high level of coordination among the different proteins involved.

GTP cyclohydrolase (GCH1)

GTP cyclohydrolase (GCH1) is the key-enzyme to produce the essential enzyme cofactor, tetrahydrobiopterin. The byproduct, neopterin is increased in advanced human cancer and used as cancer-biomarker, suggesting that pathologically increased GCH1 activity may promote tumor growth.

(G Picker, Hee-Young Lim, et al. Inhibition of GTP cyclohydrolase attenuates tumor growth by reducing angiogenesis and M2-like polarization of tumor associated macrophages. Int. J. Cancer 2003; 132: 591–604 (2013)  http://dx.doi.org/10.1002/ijc.27706 )

We found that inhibition or silencing of GCH1 reduced tumor cell proliferation and survival and the tube formation of human umbilical vein endothelial cells, which upon hypoxia increased GCH1 and

endothelial NOS expression, the latter prevented by inhibition of GCH1. In nude mice xenografted with HT29-Luc colon cancer cells GCH1 inhibition reduced tumor growth and angiogenesis, determined by in vivo luciferase and near-infrared imaging of newly formed blood vessels. The treatment with the GCH1 inhibitor shifted the phenotype of tumor associated macrophages from the proangiogenic M2 towards M1, accompanied with a shift of plasma chemokine profiles towards tumor-attacking chemokines including CXCL10 and RANTES. GCH1 expression was increased in mouse AOM/DSS-induced colon tumors and in high grade human colon and skin cancer and oppositely, the growth of GCH1-deficient HT29-Luc tumor cells in mice was strongly reduced. The data suggest that GCH1 inhibition reduces tumor growth by (i) direct killing of tumor cells, (ii) by inhibiting angiogenesis, and (iii) by enhancing the antitumoral immune response.

The Role of Stroma in Tumour-Host Co-Existence

Molnár et al.,  The Role of Stroma in Tumour-Host Co-Existence: Some Perspectives in Stroma-Targeted Therapy of Cancer   Biochem Pharmacol 2013, 2:1    http://dx.doi.org/10.4172/2167-0501.1000107

 Cancer grows at the expense of the host as a parasite or superparasite following the second law of thermodynamics (conservation of energy). When the cancer cell progresses via replication to the special state called “spheroid”, a new phase begins with its intimate interaction and development of responses from the stroma which together assist in the formation of a full blown cancer. Among the processes involved are the development of blood vessels and lymphatic channels which are essential for maintenance and further growth of the cancer mass. In this way the condition of “parasitism” is completed with simultaneous suppression of the immune response of the host to the histo-incompatability of the tumor mass. Stroma/parenchyma promotes cancer invasion by feeding cancer cells and inducing immune tolerance. The dynamic changes in composition of stroma and biological consequences as feeder of cancer cells and immune tolerance can give a perspective for rational drug design in anti-stromal therapy. There are differences between normal and cancer cells at subcellular level such as compartmentalzation and structure of cytoskeleton and energy distribution (that is low generally, but locally high in normal cells). In cancer cannibalism of normal cells, the growing cancer mass is a factor for progression and invasion.

Cancer cells have been shown to kill normal cells and the products of cell death used for progression of growth of the cancer cell. Serum and growth factors produced by tumor stroma also provide the needed nutrients and conditions for further tumor growth. Cancer cannot feed off other cancer cells and therefore grow poorly. Probably, although not yet proven, the inability of cancer to “parasitise” other cancer cell types is probably due to some kind of competition or interference. The tumor is in charge of its own development due to its induction proteinases, lipid mobilization factors and angiogenetic factors as well as its ability to negate immune responses of the host response to what is in essence a foreign body.

In our review co-existence of normal and cancer cells in tumor with the growth promoting factors, and the immune tolerance mediating factors produced in the stromal and cancer cells/tissues will be discussed with perspective of stroma targeted therapy.

The clinical significance of cell cannibalism is well defined and described in a large number of publications. The direction of process of cancer development is defined as the tumor invades the normal tissue which never occurs in the reverse direction. This suggests that the cancer cell strives to achieve the lowest energy level possible. Therefore the first of the development of a full blown cancer can be considered as the 2nd Thermodynamic principle  that explains, describes and drives the invading cancer into normal surrounding tissue.

From the normal living state, under particular conditions such as hypoxia, where ATP synthesis is decreased resulting in a switch to glycolytic pathways, cancer cells are selected from a fraction of the population [4]. Energetically, in the presence of electron transfer, by using high energy from respiration, the proliferating state is more stable than resting cells where a higher degree of protein stabilization occurs such as that needed for maintainance of the cytoskeleton of the cell. It was proposed that tumor-promotion might be controlled or modulated by small electronic currents originating from reactive oxygen species and transported through the cytoskeletal microfilament network of the cancer cell.

Aerobic glycolysis is the main energy producing process in cancer cells. Among many other aspects, recently the mitochondria have also been regarded as potential targets in the therapy of cancer. Several small molecules have been tested to restore their dysfunctional functions either by direct or indirect effects. Because of poorly functioning mitochondria, the electron transfer component of the respiration cycle is inefficient; therefore, cancer cells have smaller Gibbs energy than healthy cells. This means, that these cancer cells exists in a metastable state and are not able maintain normal cell structure.

Therefore, the cytoskeleton system is collapsed and dielectric bilayers are formed as a lower grade of cellular structure with decreased electron conductivity. Consequently, to halt cancer growth, one has to evaluate the process of cancer cell development in situ, where the primary tumor is growing as well as that of the metastatic cell that is invading surrounding or distal tissues. This affords one to suggest that the stroma is formed first during long term repeated oxidative stress, a process that is initially accompanied with inflammation due to an active immune response to the histoincompatability antigens present on the surface of the cancer cell. If the cancer cell evades the activity of killer T cells (Treg cells) by either secreting agents that reduce the response of the Treg cells or the immune system for whatever reason is ineffective (immunosuppressed states such as HIV/AIDS, pregnancy, transplantation  therapy, etc.), the formed cancer cells have the opportunity to initiate tumor development. Because of the limited capacity of its electron transfer cycle, cancer cells are essentially starving cells that require glycolytically useful substrates. These substrates are obtained from the killing of normal cells by agents secreted by the cancer cell and the products yielded from dead normal cells “eaten” (phagocytosed) by the starving cancer cell which is digested by the cancer cells lysosomal system. This autophagic process of cannibalism keeps the cancer cell alive and thriving and is known as cytophagy, i.e., cannibalism of normal cells. This type of autophagocytosis  results in a parasitic co-existence of tumor cells with normal cells and will determine the main pathway of interaction between the growing cancer tissue (tumor) and normal tissue where the cancer tissue gradually destroys normal tissues. This process obeys the second law of thermodynamics-conservation of energy within a defined system.

Treatments for Cancer

 Bosutinib: a SRC–ABL tyrosine kinase inhibitor for treatment of chronic myeloid leukemia. 

FE Rassi, HJ Khoury. Pharmacogenomics and Personalized Medicine  2013:6 57–62.

Bosutinib is one of five tyrosine kinase inhibitors commercially available in the United States for the treatment of chronic myeloid leukemia. This review of bosutinib summarizes the mode of action, pharmacokinetics, efficacy and safety data, as well as the patient-focused perspective through quality-of-life data. Bosutinib has shown considerable and sustained efficacy in chronic myeloid leukemia, especially in the chronic phase, with resistance or intolerance to prior tyrosine kinase inhibitors. Bosutinib has distinct but manageable adverse events. In the absence of T315I and V299L mutations, there are no absolute contraindications for the use of bosutinib in this patient population

Chronic myeloid leukemia (CML) is a clonal myeloproliferative stem cell disorder characterized by the presence of a signature hybrid oncogene, the BCR–ABL. The Philadelphia chromosome (Ph+) results from a reciprocal translocation between chromosome 9 and chromosome 22 that juxtaposes the two genes BCR and ABL and drives the leukemogenesis in CML. The ABL gene encodes for a nonreceptor tyrosine kinase that becomes deregulated and constitutively active after the juxtaposition of BCR. BCR–ABL is central in controlling downstream pathways involved in cell proliferation, regulation of cellular adhesion, and apoptosis.The understanding of the importance of this kinase activity in the pathophysiology of CML led to the development of tyrosine kinase inhibitors (TKI) that specifically target BCR–ABL. These agents became the mainstay of modern therapy in CML. CML has a triphasic clinical course, and the majority of patients (∼80%) are diagnosed during the early phase or the chronic phase (CP). However, and without effective treatment, CML invariably progresses to the advanced phases of the disease – the accelerated phase (AP) and the blast phase (BP). BP CML is a lethal refractory secondary leukemia with a short predicted survival.

Comprehensive molecular portraits of human breast tumors

 The Cancer Genome Atlas Network

Nature. 2012 October 4; 490(7418): 61–70. http://dx.doi.org/10.1038/nature11412.

We analyzed primary breast cancers by genomic DNA copy number arrays, DNA methylation, exome sequencing, mRNA arrays, microRNA sequencing and reverse phase protein arrays. Our ability to integrate information across platforms provided key insights into previously-defined gene expression subtypes and demonstrated the existence of four main breast cancer classes when combining data from five platforms, each of which shows significant molecular heterogeneity.

Somatic mutations in only three genes (TP53, PIK3CA and GATA3) occurred at  > 10% incidence across all breast cancers; however, there were numerous subtype-associated and novel gene mutations including the enrichment of specific mutations in GATA3, PIK3CA and MAP3K1 with the Luminal A subtype. We identified two novel protein expression-defined subgroups, possibly contributed by stromal/microenvironmental elements, and integrated analyses identified specific signaling pathways dominant in each molecular subtype including a HER2/p-HER2/HER1/p-HER1 signature within the HER2-Enriched expression subtype. Comparison of Basal-like breast tumors with high-grade Serous Ovarian tumors showed many molecular commonalities, suggesting a related etiology and similar therapeutic opportunities. The biologic finding of the four main breast cancer subtypes caused by different subsets of genetic and epigenetic abnormalities raises the hypothesis that much of the clinically observable plasticity and heterogeneity occurs within, and not across, these major biologic subtypes of breast cancer.

Most molecular studies of breast cancer have focused on just one or two high information content platforms, most frequently mRNA expression profiling or DNA copy number analysis, and more recently massively parallel sequencing. Supervised clustering of mRNA expression data has reproducibly established that breast cancers encompass several distinct disease entities, often referred to as the intrinsic subtypes of breast cancer. The recent development of additional high information content assays focused on abnormalities in DNA methylation, microRNA expression and protein expression, provide further opportunities to more completely characterize the molecular architecture of breast cancer.

Synbiology contribution and Nanotechnology

Synthetic RNAs Designed to Fight Cancer

Xiaowei Wang and his colleagues at  Washington University School of Medicine in St. Louis have designed synthetic molecules that combine the advantages of two experimental RNA therapies against cancer.  They have designed synthetic molecules that combine the advantages of two experimental RNA therapies against cancer.  RNA plays an important role in how genes are turned on and off in the body. Both siRNAs and microRNAs are snippets of RNA known to modulate a gene’s signal or shut it down entirely. Separately, siRNA and microRNA treatment strategies are in early clinical trials against cancer, but few groups have attempted to marry the two.

“We are trying to merge two largely separate fields of RNA research and harness the advantages of both,” said Xiaowei Wang, assistant professor of radiation oncology and a research member of the Siteman Cancer Center.  The study appears in the December issue of the journal RNA.

“We designed an artificial RNA that is a combination of siRNA and microRNA,” Wang said “our artificial RNA simultaneously inhibits both cell migration and proliferation.”  For therapeutic purposes, “small interfering” RNAs, or siRNAs, are designed and assembled in a lab and can be made to shut down– or interfere with– a single specific gene that drives cancer.  The siRNA molecules work extremely well at silencing a gene target because the siRNA sequence is made to perfectly complement the target sequence, thereby silencing a gene’s expression.

Though siRNAs are great at turning off the gene target, they also have potentially dangerous side effects: siRNAs inadvertently can shut down other genes that need to be expressed to carry out tasks that keep the body healthy.  The siRNAs interfere with off-target genesthat closely complement their “seed region,” a section of the siRNA  that governs binding to a gene target. “In the past, we tried to block the seed region in an attempt to reduce the side effects. Until now, we never tried to replace the seed region completely.”

Wang and his colleagues asked whether they could replace the siRNA’s seed region with the seed region from microRNA. Unlike siRNA, microRNA is a natural part of the body’s gene expression. And it can also shut down genes. As such, the microRNA seed region (with its natural targets) might reduce the toxic side effects caused by the artificial siRNA seed region. Plus, the microRNA seed region would add a new tool to shut down other genes that also may be driving cancer.

Wang’s group started with a bioinformatics approach, using a computer algorithm to design siRNA sequences against a common driver of cancer, a gene called AKT1 that encourages uncontrolled cell division. The program also selected siRNAs against AKT1 that had a seed region highly similar to the seed region of a microRNA known to inhibit a cell’s ability to move, thus potentially reducing the cancer’s ability to spread.

A Neutralizing RNA Aptamer

 Nucleic acid aptamers have been developed as high-affinity ligands that may act as antagonists of disease-associated proteins. Aptamers are non immunogenic and characterised by high specificity and low toxicity thus representing a valid alternative to antibodies or soluble ligand receptor traps/decoys to target specific cancer cell surface proteins in clinical diagnosis and therapy. The epidermal growth factor receptor (EGFR) has been implicated in the development of a wide range of human cancers including breast, glioma and lung. The observation that its inhibition can interfere with the growth of such tumors has led to the design of new drugs including monoclonal antibodies and tyrosine kinase inhibitors currently used in clinic. However, some of these molecules can result in toxicity and acquired resistance, hence the need to develop novel kinds of EGFR-targeting drugs with high specificity and low toxicity.

(CL Esposito, D Passaro, et al. A Neutralizing RNA Aptamer against EGFR Causes Selective Apoptotic Cell Death. PLoS ONE 6(9): e24071. http://dx.doi.org/10.1371/journal.pone.0024071)

Here we generated, by a cell-Systematic Evolution of  Ligands by EXponential enrichment (SELEX) approach, a nuclease resistant RNA-aptamer that specifically binds to EGFR with a binding constant of 10 nM. When applied to EGFR-expressing cancer cells the aptamer inhibits EGFR-mediated signal pathways causing selective cell death. Furthermore, at low doses it induces apoptosis even of cells that are resistant to the most frequently used EGFR-inhibitors, such as gefitinib and cetuximab, and inhibits tumor growth in a mouse xenograft model of human non-small-cell lung cancer (NSCLC). Interestingly, combined treatment with cetuximab and the aptamer shows clear synergy in inducing apoptosis in vitro and in vivo. In conclusion, we demonstrate that this neutralizing RNA aptamer is a promising bio-molecule that can be developed as a more effective alternative to the repertoire of already existing EGFR-inhibitors.

In-Silico Molecular Docking Analysis of Cancer Biomarkers

Currently, in the research scenario for cancer, the identification of anti-cancer drugs using immuno-modulatory proteins and other molecular agents to initiate apoptosis in cancer cells and to inhibit the signaling pathways of cancer biomarkers as a drug targeted therapy, for cancer cell proliferation assays by the researchers. In-Silico analysis is used to recognize anticancer compounds as a future prospective for In-Vitro and In-Vivo analysis. A large number of herbal remedies (e.g. garlic, mistletoe) are used by cancer patients for treating the cancer and/or reducing the toxicities of chemotherapeutic drugs. Some herbal medicines have shown potentially beneficial effects on cancer progression and may ameliorate chemotherapy-induced toxicities.  (K. Gowri Shankar et al., In-Silico Molecular Docking Analysis of Cancer Biomarkers with Bioactive Compounds of Tribulus terrestris. Intl J NOVEL TRENDS PHARMAL SCI. 2013; 3(4).

Tribulus terrestris is mentioned in ancient Indian Ayurvedic medical texts dating back thousands of years. Tribulus terrestris has been widely used in the Ayurvedic system of medicine for the treatment of sexualdysfunction and various urinary disorders. The aim of the present study is to evaluate the interactions of some bioactive compounds of Tribulus terrestris for In-Silico anticancer analysis with cancer biomarkers as targets. The targeted biomarkers for analysis include NSE-Lung cancer, Follistatin-Prostrate cancer, GGT Hepatocellular carcinoma, Human Prostasin-Ovarian cancer.

GC-MS analysis of Tribulus terrestris whole plant methanol extract revealed the existence of the major compound like 3,7,11,15-tetramethylhexadec-2-en-1-ol, 1,2-Benzenedicarboxylic acid, disooctyl ester, 9,12,15-Octadecatrienoic acid, (z,z,z)-, 9,12-Octadecadienoic acid (z,z)-, Hexadecadienoic acid, ethyl ester, n-Hexadecadienoic acid, Octadecanoic acid, Phytol, α-Amyrin are chosen as ligands. Hence, by analyzing the minimum binding energy of the ligand binding complex with the receptors by dockinganalysis using AutoDock tools will show effective nature of inhibition of these receptors by the unique ligands. Based on the results low minimum binding energy ligands are identified and used as a future studies can be done for specific receptors  docking.

Anti-Cancerous Effect of4,4′-Dihydroxychalcone ((2E,2′E)-3,3′-(1,4-Phenylene) Bis (1-(4-hydroxyphenyl) Prop-2-en-1-one)) on T47D Breast Cancer Cell Line

Narges Mahmoodi, T Besharati-Seidani, N Motamed, and NO Mahmoodi*
Annual Research & Review in Biology 2014; 4(12): 2045-2052
SCIENCEDOMAIN international    www.sciencedomain.org

Aims: The majority of human breast tumors are estrogen receptor α (ERα) positive. However, not all of the ERα+ breast cancers respond to anti-estrogens drugs for those women who do respond, initial positive responses can be of short duration. Thus, more effective drugs are needed to enhance the efficacy of anti-estrogens drugs or to be used separately in a period of time. In view of potential cytotoxicity associated with silybin as polyhydroxy compounds a synthetic 4-hydroxychalcones (bis-phenol) was considered to explore its anti-carcinogenic effects in comparison to silybin on ERα+ breast cancer cell line.

Methodology: We have studied the inhibitory effect of 4,4′-dihydroxychalcone on the T47D breast cancer cell line by MTT test and the IC50s were estimated using Pharm PCS.

Results: The 4,4′-dihydroxychalcone showed significant dose- and time-dependent cell growth inhibitory effects on T47D breast cancer cells. The IC50 of 4,4′-dihydroxychalcone on T47D cells after 24 and 48 hours was 160.88+/1 μM, 62.20+/1 μM and for silybin was 373.42+/-1 μM,176.98+/1 μM respectively.

Conclusion: Our results strongly suggests that this premade synthetic 4,4′-dihydroxychalcone can promote anti carcinogenic actions on T47D cell line. All 4,4′-dihydroxychalcone doses had a much larger inhibitory effect on cell viability than silybin doses in T47D cells. The ratio of the IC50 of 4,4′-dihydroxychalcone to silybin after 24 and 48 hours was 1: 2.3 and 1: 2.8 respectively.

Anticancer and multidrug resistance-reversal effects of solanidine analogs synthetized from pregnadienolone acetate.

István Zupkó, Judit Molnár, Borbála Réthy, Renáta Minorics, Eva Frank, et al.
Molecules (Impact Factor: 2.43). 01/2014; 19(2):2061-76.  http://dx.doi.org/10.3390/molecules19022061
Source: PubMed

ABSTRACT A set of solanidine analogs  with antiproliferative properties were recently synthetized from pregnadienolone acetate, which occurs in Nature. The aim of the present study was an in vitro characterization of their antiproliferative action and an investigation of their multidrug resistance-reversal activity on cancer cells. Six of the compounds elicited the accumulation of a hypodiploid population of HeLa cells, indicating their apoptosis-inducing character, and another one caused cell cycle arrest at the G2/M phase. The most effective agents inhibited the activity of topoisomerase I, as evidenced by plasmid supercoil relaxation assays. One of the most potent analogs down-regulated the expression of cell-cycle related genes at the mRNA level, including tumor necrosis factor alpha and S-phase kinase-associated protein 2, and induced growth arrest and DNA damage protein 45 alpha. Some of the investigated compounds inhibited the ABCB1 transporter and caused rhodamine-123 accumulation in murine lymphoma cells transfected by human MDR1 gene, expressing the efflux pump (L5178). One of the most active agents in this aspect potentiated the antiproliferative action of doxorubicin without substantial intrinsic cytostatic capacity. The current results indicate that the modified solanidine skeleton is a suitable substrate for the rational design and synthesis of further innovative drug candidates with anticancer activities.

Nutrition and Cancer

 Ascorbic Acid and Selenium Interaction: Its Relevance in Carcinogenesis

 Michael J. Gonzalez
Journal of Orthomolecular Medicine 1990; 5(2)

Ascorbic acid and selenium are two nutrients that seem to have a preventive potential in the process of carcinogenesis; because of a possible synergistic action that may produce an enhanced anticarcinogenic effect. Interaction between these nutrients have been reported. Results indicate that the protective effect of the inorganic form of selenium (Na Selenite) was nullified by ascorbic acid, whereas the chemopreventive action of the organic form (seleno-DL-methionine) was not affected.

A possibility exists that Selenite is reduced by ascorbic acid to elemental selenium and is therefore not available for tissue uptake. In experiments using Selenite; plasma and erythrocyte glutathione peroxidase enzyme activity was directly related to the level of ascorbic acid fed.

Complementary RNA and Protein Profiling Identifies Iron as a Key Regulator of Mitochondrial Biogenesis

J W. Rensvold, Shao-En On, A Jeevananthan, et al.
Cell Rep. 2013 January 31; 3(1): .   http://dx.doi.org/10.1016/j.celrep.2012.11.029

Mitochondria are centers of metabolism and signaling whose content and function must adapt to
changing cellular environments. The biological signals that initiate mitochondrial restructuring
and the cellular processes that drive this adaptive response are largely obscure. To better define
these systems, we performed matched quantitative genomic and proteomic analyses of mouse
muscle cells as they performed mitochondrial biogenesis. We find that proteins involved in
cellular iron homeostasis are highly coordinated with this process and that depletion of cellular
iron results in a rapid, dose-dependent decrease of select mitochondrial protein levels and
oxidative capacity. We further show that this process is universal across a broad range of cell
types and fully reversed when iron is reintroduced. Collectively, our work reveals that cellular iron
is a key regulator of mitochondrial biogenesis, and provides quantitative data sets that can be
leveraged to explore posttranscriptional and posttranslational processes that are essential for
mitochondrial adaptation.

Avemar outshines new cancer ‘breakthrough’ drug

by Michael Traub
Townsend Letter / Oct, 2010

Many of us in the cancer research community were happy to hear about progress against metastatic melanoma reported this June at the annual meeting of the American Society of Clinical
Oncology (ASCO). since there has not been an improvement in overall survival from chemotherapy in over three decades.
Data from a phase III clinical trial of the experimental monoclonal antibody ipilimumab (pronounced “ep-eh-lim-uemab”) showed that patients with melanoma survived longer if they were taking ipilimumab than if they were not, regardless of whether they also were taking the other drug in the study, an experimental cancer vaccine. (1)

A Closer Look: How Big an Improvement, at What Cost to Patients?

Overall Survival: the ‘Gold Standard’ for Judging Cancer Therapies

Overall survival (OS) is the length of time that a patient actuallysurvives a cancer after treatment. It can also be measured as the percentage of patients surviving a specific time. It is the gold
standard by which the usefulness of a cancer treatment should be determined. Many things can help a patient, but the most important goal of doctors and patients is for the cancer patient to live longer, with a decent quality of life (QOL).

Among patients taking ipilimumab with or without the experimental vaccine, median overall survival was about 10 months. That is compared with 6.4 months’ overall survival among patients receiving the vaccine by itself. About 45.6% of patients taking ipilimumab survived one year, an improvement of some 7% over the 38% seen in some earlier studies. This very modest improvement in survival comes at quite a price.

Severe Side Effects in More Than One in Four Ipilimumab Patients Ipilimumab has some side effects that can be “both severe and long-lasting,” according to the study report. Among patients taking ipilimumab by itself (without the vaccine), 19.1% had side effects requiring hospitalization or invasive intervention, 3.8% died from the effects of the drug, and another 33.8% had life-threatening or disabling side effects. All totaled, 26.7% of the patients taking ipilimumab by itself– more than 1 in 4-had side effects that were severe, very severe, or fatal. Severe side effects included diarrhea, nausea, constipation, vomiting, abdominal pain, fatigue, cough, and headache. Vernon Sondak, MD, of the H. Lee Moffitt Cancer and Research Institute, said that “using the drug requires the medical team to be on guard to manage toxicity at all times.” But even with its severe side effects, the researchers said that the drug should be welcomed because it can increase median survival from 6.4 months to 10.1 months. That is because any lengthening of lives is welcome in a disease that hasn’t seen a new drug that can do that in many years.

Fermented Wheat Germ (Avemar) Improves Melanoma Survival Without Harsh Side Effects

But what if there already were such a treatment available-not a drug, but a safe, natural substance shown in clinical trials to have a remarkably similar ability to lengthen the lives of melanoma patients, without the severe side effects of the new drug?
What if the other substance had no significant side effects at all?
What if, instead of causing severe and sometimes fatal side effects, that other substance actually helped prevent and reduce serious side effects caused by chemotherapy and radiotherapy?
In fact, there is just such a treatment available. It is known as fermented wheat germ extract (FWGE) and by its trade name Avemar. It has been approved as a medical nutriment for cancer
patients in Europe for years and is available in the US as a dietary supplement. It has been compared to dacarbazine (DTIC), standard melanoma therapy, in a clinical trial with longer
follow-up than the ipilimumab trial. And with better results.

In 2008, data were published in the research journal Cancer Biotherapy and Radiopharmaceuticals from seven years’ follow-up on a trial at the N. N. Blokhin Cancer Center in Moscow,
Russia, involving 52 patients who had taken or not taken Avemar while taking dacarbazine for the year following surgical removal of their stage III melanoma tumors. (2) Patients who got only dacarbazine survived 44.7 months. Those who got Avemar along with their dacarbazine survived 66.2 months. This is an improvement in overall survival time of over 48%. In the Russian study,
just as it has in other studies, Avemar reduced side effects of the chemotherapy. Among those taking only dacarbazine, 11 % experienced severe (grade 3 or grade 4) side effects that required hospitalization or invasive intervention. None of the Avemar patients had grade 3 or 4 side effects. Since it is difficult to compare length of survival between the recent ipilimumab study and the Avemar melanoma study, because the ipilimumab study tested mostly stage 4 melanoma patients and the Avemar study tested mostly stage 3 melanoma patients, it is most instructive to look at
the percentage improvement in overall survival from adding either treatment to the regimen. Ipilimumab and Avemar both produced very similar improvements in OS (56% vs. 48%, respectively),

Avemar Ameliorates Conventional Treatment Side Effects

The improvement of survival and the amelioration of chemotherapy side effects by Avemar seen in the Russian melanoma study is typical of Avemar’s effects when used in treating other cancers, including in combination with chemotherapy or radiotherapy. Among 170 colorectal cancer patients in a 2003 study published in the British journal of Cancer, Avemar improved overall survival
and reduced metastasis and recurrences after surgery, chemotherapy, and radiotherapy. (3) Taking Avemar for six months during and after those conventional treatments resulted in a 61.8% reduction in the death rate among those patients, compared with those who received only the conventional treatment. Those taking Avemar experienced lower rates of recurrences and metastases
as well, even though most patients in the Avemar group came into the study with more advanced disease, had more radiation earlier, and had been diagnosed longer. Side effects of Avemar, as in
other Avemar trials., were rare, mild, and transient, with no serious adverse events occurring.

In a 2004 study published in the journal of Pediatric Hematology and Oncology, childhood cancer patients taking Avemar during and after conventional therapies had a 42.8% reduction in the
low white blood cell counts and high fever known as febrile neutropenia, which can be a life-threatening consequence of chemotherapy and radiation. (4) This and similar results with
Avemar in other cancers are consistent with animal studies showing that Avemar helps the immune system recover a full white blood cell count after chemotherapy and radiation faster
than would otherwise happen. This study also demonstrated the safety of Avemar for children.

Why Avemar Works in Many Different Kinds of Cancer

Extensive studies in cells and animals have shown how Avemar works. Perhaps its most important action is to restrict cancer cells’ use of glucose. (5) Cancer cells use up to 50 times more glucose
than normal cells, a phenomenon known as the Warburg effect. (6) They use those enormous amounts of glucose to make ribose, the backbone sugar of DNA, much faster than normal cells can. To
do this, they must use a different series of biochemical reactions (“pathway”) than normal cells. Avemar makes this very difficult for cancer cells to do, because it inhibits the activity of the key enzyme in that pathway, transketolase (TK). (7) With the TK pathway blocked, cancer cells cannot use large amounts of glucose to make DNA fast enough to support the proliferation that makes them so dangerous.(8-10)

In experiments in the US and abroad, scientists have learned that Avemar has these additional effects. It:

* lowers the levels of a DNA repair enzyme known as poly (ADPribose) polymerase (PARP).” With this effect, cancer cells are forced to self-destruct, preventing them from proliferating and
producing a synergistic cancer-cell killing effect when given with chemotherapy, which also works to damage cancer cells’ DNA;
* reduces the number of molecules on cancer cells that identify them as originating within the body (MHC-1 molecules). (12) With cancer cells stripped of that protection, the immune system,
which recognizes the cancer cells as abnormal, no longer gives them the pass given to cells originating in the body. The cancer cells are attacked by the immune system’s natural killer (NK)
cells and destroyed;
* increases levels of molecules called intercellular adhesion molecule-1 (ICAM-1) on the blood vessels of cancer tumors. (13). The increase helps immune system cells pass through the walls of the blood vessels supplying the tumor blood flow, moving directly into the tumor to attack its cancer cells; increases the activity of the primary anticancer cytokine, tumor necrosis factor alpha (TNF-a), and produces a synergistic effect in interaction with other anticancer cytokines. (14) Cytokines are substances produced by cells to act directly on other cells. TNF-a helps force cancer cells into the programmed death known as apoptosis and inhibits tumorigenesis, the process through which new tumors are formed;
* inhibits the activity of ribonucleotide reductase (RR), a key enzyme that cells must have to make new DNA so that each cancer cell can divide to make two more like it. (15) With DNA
production slowed, increases in cancer cell growth and replication are inhibited.

Antimetastatic and Immune-Boosting Effects Are Key to Survival

Because the biochemical changes listed above have consistently been shown in both animal and human studies to be directly linked to reducing cancer’s ability to metastasize and to
improving the immune system’s ability to fight cancer, scientists count them as among the most likely main causes of improved survival seen in cancer patients when Avemar is used alone or,
more often, as an adjuvant in addition to standard-of-care therapies such as chemotherapy, radiotherapy, or the combination of the two. (16-23)

Extending Life: How Long, Exactly, and At What Cost in Quality of Life?

Any improvement in advanced melanoma survival, no matter how small, is certainly an achievement. But ipilimumab had severe side effects requiring hospitalization or invasive intervention in
over one-quarter of patients treated with it. And it increased median survival only by 3-plus months. On the other hand, Avemar added to dacarbazine improved survival very markedly, with no severe side effects. If actually improving overall survival substantially without significant side effects means that a drug should be considered as the new standard of care for first-line therapy, then there is no need to wait for further results. Avemar has already demonstrated very significant improvement in survival over chemotherapy alone and has a safety profile unmatched by
conventional therapies.

Michael Traub, ND, FABNO, is in private practice and serves as a member of Oncology Association of Naturopathic Physicians board of examiners.
Notes
(1.) Hodi FS, O’Day SJ, McDermott DF, et al. Improved survival with ipilimumab in patients with metastatic melanoma. N Engl J Med. 2010 Jun 14.
(2.) Demidov LV. Manziuk LV, Kharkevitch GY, Pirogova NA,  Artamonova EV. Adjuvant fermented wheat germ extract (Avemar) nutraceutical improves survival of high-risk skin
melanoma patients; a randomized, pilot, phase ll clinical study with a 7-year follow-up. Cancer Biother Radiopharm. 2008 Aug. 23(4):477-482. Erratum in: Cancer Biother Radiopharm. 2008
Oct;2315):669.
(3.) Jakab F, Shoenfeld Y, Balogh A. et al. A medical nutriment has supportive value in the treatment of colorectal cancer. Br J Cancer. 2001 Aug 4;89(3):465-9.
(4.) Garami M, Schuler D, Babosa M, et al. Fermented wheat germ extract reduces chemotherapy-induced febrile neutropenia in pediatric cancer patients, J Pediatr Hematol Oncol. 2004
Oct;26(10):631-635.
(5.) Boros I.G, Lapis K, Szende B, et al. Wheat germ extract decreases glucose uptake and RNA ribose formation but increases fatty acid synthesis in MIA pancreatic adenocarcinoma
cells. Pancreas. 2001 Aug:23(2):141-147.
(6.) Warburg, O. On the origin of cancer cells. Science. 1956 Feb 24; 123(31 91):309-314.
(7.) Boros LG, Lee VVN, Go VL., A metabolic hypothesis of cell growth and death in pancreatic cancer, Pancreas. 2002 Jan;
24:(1):26 33.
(8.) Boros LG, Lapis K, Szende B, et al. Op cit.
(9.) Comin-Anduix B, Boros LG, Marin S, et al. Fermented wheat germ extract inhibits glycolysis/pentose cycle enzymes and induces apoptosis through poly(ADP-ribose) polymerase
activation in Jurkat T-cell leukemia tumor cells. J Biol Chem. 2002 Nov 29;277 (48):46408-46414. Epub 2002 Sep 25.
(23.) Garami M, Schuler D, Babosa M, et al. Fermented wheat germ extract reduces chemotherapy-induced febrile neutropenia in pediatric cancer patients. J Pediatr Hematol Oncol. 2004 Oct;
26(10):631-635.

by Michael Traub, ND, FABNO
COPYRIGHT 2010 The Townsend Letter Group
COPYRIGHT 2010 Gale, Cengage Learning

Nanotechnology in Cancer Drug Delivery and Selective Targeting

Nanoparticles are rapidly being developed and trialed to overcome several limitations of traditional drug delivery systems and are coming up as a distinct therapeutics for cancer treatment. Conventional chemotherapeutics possess some serious side effects including damage of the immune system and other organs with rapidly proliferating cells due to nonspecific targeting, lack of solubility, and inability to enter the core of the tumors resulting in impaired treatment with reduced dose and with low survival rate.

Nanotechnology has provided the opportunity to get direct access of the cancerous cells selectively with increased drug localization and cellular uptake. Nanoparticles can be programmed for recognizing the cancerous cells and giving selective and accurate drug delivery avoiding interaction with the healthy cells. This review focuses on cell recognizing ability of nanoparticles by various strategies having unique identifying properties that distinguish them from previous anticancer therapies. It also discusses specific drug delivery by nanoparticles inside the cells illustrating many successful researches and how nanoparticles remove the side effects of conventional therapies with tailored cancer treatment.

(Kumar Bishwajit Sutradhar and Md. Lutful Amin. Hindawi Publ. Corp.  2014, Article ID 939378, 12 pages

http://dx.doi.org/10.1155/2014/939378)

Cancer, the uncontrolled proliferation of cells where apoptosis is greatly disappeared, requires very complex process of treatment. Because of complexity in genetic and phenotypic levels, it shows clinical diversity and therapeutic resistance. A variety of approaches are being practiced for the treatment of cancer each of which has some significant limitations and side effects. Cancer treatment includes surgical removal, chemotherapy, radiation, and hormone therapy. Chemotherapy, a  very common treatment, delivers anticancer drugs systemically to patients for quenching the uncontrolled proliferation of cancerous cells. Unfortunately, due to nonspecific targeting by anticancer agents, many side effects occur and poor drug delivery of those agents cannot bring out the desired outcome in most of the cases. Cancer drug development involves a very complex procedure which is associated with advanced polymer chemistry and electronic engineering.

The main challenge of cancer therapeutics is to differentiate the cancerous cells and the normal body cells. That is why the main objective becomes engineering the drug in such a way as it can identify the cancer cells to diminish their growth and proliferation. Conventional chemotherapy fails to target the cancerous cells selectively without interacting with the normal body cells. Thus they cause serious side effects including organ damage resulting in impaired  treatment with lower dose and ultimately low survival rates.

Nanotechnology is the science that usually deals with the size range from a few nanometers (nm) to several hundrednm, depending on their intended use. It has been the area of interest over the last decade for developing precise drug delivery systems as it offers numerous benefits to overcome the limitations of conventional formulations . It is very promising both in cancer diagnosis and treatment since it can enter the tissues at molecular level.

Cisplatin-incorporated nanoparticles of poly(acrylic acid-co-methyl methacrylate) copolymer

K Dong Lee, Young-Il Jeong,  DH Kim,  Gyun-Taek Lim,  Ki-Choon Choi.  Intl J Nanomedicine 2013:8 2835–2845.

Although cisplatin is extensively used in the clinical field, its intrinsic toxicity limits its clinical use. We investigated nanoparticle formations of poly(acrylic acid-co-methyl methacrylate) (PAA-MMA) incorporating cisplatin and their antitumor activity in vitro and in vivo.

Methods: Cisplatin-incorporated nanoparticles were prepared through the ion-complex for­mation between acrylic acid and cisplatin. The anticancer activity of cisplatin-incorporated nanoparticles was assessed with CT26 colorectal carcinoma cells.

Results: Cisplatin-incorporated nanoparticles have small particle sizes of less than 200 nm with spherical shapes. Drug content was increased according to the increase of the feeding amount of cisplatin and acrylic acid content in the copolymer. The higher acrylic acid content in the copolymer induced increase of particle size and decrease of zeta potential. Cisplatin-incorporated nanoparticles showed a similar growth-inhibitory effect against CT26 tumor cells in vitro. However, cisplatin-incorporated nanoparticles showed improved antitumor activity against an animal tumor xenograft model.

Conclusion: We suggest that PAA-MMA nanoparticles incorporating cisplatin are promising carriers for an antitumor drug-delivery system.

Researchers Say Molecule May Help Overcome Cancer Drug Resistance
By Estel Grace Masangkay

A group of researchers from the University of Delaware has discovered that a deubiquitinase (DUB) complex, USP1-UAF1, may present a key target in helping fight resistance to platinum-based anticancer drugs. The research team’s findings were published online in Nature Chemical Biology.

Zhihao Zhuang, associate professor in the Department of Chemistry and Biochemistry at UD, and his team studied a DNA damage tolerance mechanism called translesion synthesis (TLS). Enzymes known as TLS polymerases synthesize DNA over damaged nucleotide bases, followed by replication after lesion. The enzymes have been linked with building cancer cell resistance to certain cancer drugs including cisplatin. Cisplatin is used in treatment of ovarian, bladder, and testicular cancers which have spread.

“Cancer drugs like cisplatin work by damaging DNA and thereby preventing cancer cells from replicating the genomic DNA and dividing. However, cancer cells quickly develop resistance to cisplatin, and we and other researchers suspect that a polymerase known as Pol η is involved in overcoming cisplatin-induced lesions,” Professor Zhuang said.

The team found that USP1-UAF1 may play a crucial role in regulating DNA damage response. A new molecule ML323 can be used to inhibit processes such as translesion synthesis. Zhuang said, “Using ML323, we studied the cellular response to DNA damage and revealed new insights into the role of deubiquitination in both the TLS pathway and another one called the Fanconi anemia, or FA, pathway. We’re very encouraged by the fact that a single molecule is effective at inhibiting the USP1-UAF1 DUB complex and disrupting two essential DNA damage tolerance pathways.”

A novel small peptide as an epidermal growth factor receptor targeting ligand for nanodelivery in vitro

Cui-yan Han,  Li-ling Yue, Ling-yu Tai,  Li Zhou  et al.  Intl J Nanomedicine 2013:8 1541–1549

The discovery of suitable ligands that bind to cancer cells is important for drug delivery specifically targeted to tumors. Monoclonal antibodies and fragments that serve as ligands have specific targets. Natural ligands have strong mitogenic and neoangiogenic activities. Currently, small pep­tides are pursued as targeting moieties because of their small size, low immunogenicity, and their ability to be incorporated into certain delivery vectors.

The epidermal growth factor receptor (EGFR) serves an important function in the proliferation of tumors in humans and is an effective target for the treatment of cancer. The epidermal growth factor receptor (EGFR) is a transmembrane protein on the cell surface that is overexpressed in a wide variety of human cancers. EGFR is an effective tumor-specific target because of its significant functions in tumor cell growth, differentiation, and migration. EGFR-targeted small molecule peptides such as YHWYGYTPQNVI have been successfully identified using phage display library screening; by contrast, the peptide LARLLT has been generated using computer-assisted design (CAD).

These peptides can be conjugated to the surfaces of liposomes that are then delivered selectively to tumors by the specific and efficient binding of these peptides to cancer cells that express high levels of EGFR.

In this paper, we studied the targeting characteristics of small peptides (AEYLR, EYINQ, and PDYQQD) These small peptides were labeled with fluorescein isothiocyanate (FITC) and used the peptide LARLLT as a positive control, which bound to putative EGFR selected from a virtual peptide library by computer-aided design, and the independent peptide RALEL as a negative control.

Analyses with flow cytometry and an internalization assay using NCI-H1299 and K562 with high EGFR and no EGFR expression, respectively, indicated that FITC-AEYLR had high EGFR targeting activity. Biotin-AEYLR that was specifically bound to human EGFR proteins demonstrated a high affinity for human non-small-cell lung tumors.

We found that AEYLR peptide-conjugated, nanostructured lipid carriers enhanced specific cellular uptake in vitro during a process that was apparently mediated by tumor cells with high-expression EGFR. Analysis of the MTT assay indicated that the AEYLR peptide did not significantly stimulate or inhibit the growth activity of the cells. These findings suggest that, when mediated by EGFR, AEYLR may be a potentially safe and efficient delivery ligand for targeted chemotherapy, radiotherapy, and gene therapy.

Arginine-based cationic liposomes for efficient in vitro plasmid DNA delivery with low cytotoxicity

SR Sarker  Y Aoshima,   R Hokama  T Inoue  et al. Intl J Nanomedicine 2013:8 1361–1375.

Currently available gene delivery vehicles have many limitations such as low gene delivery efficiency and high cytotoxicity. To overcome these drawbacks, we designed and synthesized two cationic lipids comprised of n-tetradecyl alcohol as the hydrophobic moiety, 3-hydrocarbon chain as the spacer, and different counterions (eg, hydrogen chloride [HCl] salt or trifluoroacetic acid [TFA] salt) in the arginine head group.

 Cationic lipids were hydrated in 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid (HEPES) buffer to prepare cationic liposomes and characterized in terms of their size, zeta potential, phase transition temperature, and morphology. Lipoplexes were then prepared and characterized in terms of their size and zeta potential in the absence or presence of serum. The morphology of the lipoplexes was determined using transmission electron microscopy and atomic force microscopy. The gene delivery efficiency was evaluated in neuronal cells and HeLa cells and compared with that of lysine-based cationic assemblies and Lipofectamine™ 2000. The cytotoxicity level of the cationic lipids was investigated and compared with that of Lipofectamine™ 2000.

 We synthesized arginine-based cationic lipids having different counterions (ie, HCl-salt or TFA-salt) that formed cationic liposomes of around 100 nm in size. In the absence of serum, lipoplexes prepared from the arginine-based cationic liposomes and plasmid (p) DNA formed large aggregates and attained a positive zeta potential. However, in the presence of serum, the lipoplexes were smaller in size and negative in zeta potential. The morphology of the lipoplexes was vesicular.

Arginine-based cationic liposomes with HCl-salt showed the highest transfection efficiency in PC-12 cells. However, arginine-based cationic liposomes with TFA salt showed the highest transfection efficiency in HeLa cells, regardless of the presence of serum, with very low associated cytotoxicity.

The gene delivery efficiency of amino acid-based cationic assemblies is influ­enced by the amino acids (ie, arginine or lysine) present as the hydrophilic head group and their associated counterions.

Molecularly targeted approaches herald a new era of non-small-cell lung cancer treatment

H Kaneda, T Yoshida,  I Okamoto.   Cancer Management and Research 2013:5 91–101.

The discovery of activating mutations in the epidermal growth-factor receptor (EGFR) gene in 2004 opened a new era of personalized treatment for non-small-cell lung cancer (NSCLC). EGFR mutations are associated with a high sensitivity to EGFR tyrosine kinase inhibitors, such as gefitinib and erlotinib. Treatment with these agents in EGFR-mutant NSCLC patients results in dramatically high response rates and prolonged progression-free survival compared with conventional standard chemotherapy. Subsequently, echinoderm microtubule-associated protein-like 4 (EML4)–anaplastic lymphoma kinase (ALK), a novel driver oncogene, has been found in 2007. Crizotinib, the first clinically available ALK tyrosine kinase inhibitor, appeared more effective compared with standard chemotherapy in NSCLC patients harboring EML4-ALK. The identification of EGFR mutations and ALK rearrangement in NSCLC has further accelerated the shift to personalized treatmentbased on the appropriate patient selection according to detailed molecular genetic characterization. This review summarizes these genetic biomarker-based approaches to NSCLC, which allow the instigation of individualized therapy to provide the desired clinical outcome.

Non-small-cell lung cancer (NSCLC) has a poor prognosis and remains the leading cause of death related to cancer worldwide. For most individuals with advanced, metastatic NSCLC, cytotoxic chemotherapy is the mainstay of treatment on the basis of the associated moderate improvement in survival and quality of life. However, the outcome of chemotherapy in such patients has reached a plateau in terms of overall response rate (25%–35%) and overall survival (OS; 8–10 months). This poor outcome, even for patients with advanced NSCLC who respond to such chemotherapy, has motivated a search for new therapeutic approaches.

Recent years have seen rapid progress in the development of new treatment strat­egies for advanced NSCLC, in particular the introduction of molecularly targeted therapiesand appropriate patient selection. First, the most important change has been customization of treatment according to patient selection based on the genetic profile of the tumor. Small-molecule tyrosine kinase inhibitors (TKIs) that target the epidermal growth-factor receptor (EGFR), such as gefitinib and erlotinib, are especially effective in the treatment of NSCLC patients who harbor activating EGFR mutations.

Surgical Nanorobotics using nanorobots made from advanced DNA origami and Synthetic Biology

Ido Bachelet’s moonshot to use nanorobotics for surgery has the potential to change lives globally. But who is the man behind the moonshot?

Ido graduated from the Hebrew University of Jerusalem with a PhD in pharmacology and experimental therapeutics. Afterwards he did two postdocs; one in engineering at MIT and one in synthetic biology in the lab of George Church at the Wyss Institute at Harvard.

Now, his group at Bar-Ilan University designs and studies diverse technologies inspired by nature.

They will deliver enzymes that break down cells via programmable nanoparticles.

Delivering insulin to tell cells to grow and regenerate tissue at the desired location.

Surgery would be performed by putting the programmable nanoparticles into saline and injecting them into the body to seek out remove bad cells and grow new cells and perform other medical work.

 

http://2.bp.blogspot.com/-bnAE6hL2RIE/Uy0wFB8pYPI/AAAAAAAAubM/BeSpFC4vLu0/s1600/screenshot-by-nimbus+(3).png

 

Robots killing and suppressing cancer cells

 

http://1.bp.blogspot.com/-LGsE1msGIrw/Uy0vKGoaQ3I/AAAAAAAAubE/2E1_lcAspao/s1600/screenshot-by-nimbus+(2).png

 

Robots delivering payload

http://www.youtube.com/watch?feature=player_embedded&v=aA-H0L3eEo0

http://4.bp.blogspot.com/-kkfXlMyPRCI/Uy0wkYPMvBI/AAAAAAAAubU/0AQPpJpM5E4/s1600/screenshot-by-nimbus+(4).png

Molecular building blocks

 

http://www.youtube.com/watch?feature=player_embedded&v=aA-H0L3eEo0#t=236

http://www.youtube.com/watch?feature=player_embedded&v=aA-H0L3eEo0#t=283

http://www.youtube.com/watch?feature=player_embedded&v=aA-H0L3eEo0#t=287

http://www.youtube.com/watch?feature=player_embedded&v=aA-H0L3eEo0#t=292

http://www.youtube.com/watch?feature=player_embedded&v=aA-H0L3eEo0#t=333

http://www.youtube.com/watch?feature=player_embedded&v=aA-H0L3eEo0#t=397

http://2.bp.blogspot.com/-gCHiyZ2MBHg/Uy0ySRKw_II/AAAAAAAAubg/BeneEQ5bY-U/s1600/screenshot-by-nimbus+(5).png

 

Robot blocks neuron

http://4.bp.blogspot.com/-cbYNJnN_w7U/Uy0yrqyqebI/AAAAAAAAubo/b42r4WRMr8k/s1600/screenshot-by-nimbus+(6).png

 

automation of robotic surgery

 

http://www.youtube.com/watch?feature=player_embedded&v=aA-H0L3eEo0#t=470

Nanoparticles with computational logic has already been done

http://www.youtube.com/watch?feature=player_embedded&v=aA-H0L3eEo0#t=501

http://www.youtube.com/watch?feature=player_embedded&v=aA-H0L3eEo0#t=521

http://1.bp.blogspot.com/-rSyRzo7p50w/Uy0y5teQkDI/AAAAAAAAubw/8cxZ4t0WNHw/s1600/screenshot-by-nimbus+(7).png

 

 robotic algorithm

 

Load an ensemble of drugs into many particles for programmed release based on situation that is found in the body

http://1.bp.blogspot.com/-kc99CbOQYLs/Uy0zgUG13KI/AAAAAAAAub4/j6nM7hAVxUg/s1600/screenshot-by-nimbus+(8).png

http://www.youtube.com/watch?feature=player_embedded&v=aA-H0L3eEo0#t=572

http://www.youtube.com/watch?feature=player_embedded&v=aA-H0L3eEo0#t=577

 

robotic lung cancer Rx

 

chemotherapy regimen

 

Chemoprevention in Model Experiments

Effects of Two Disiloxanes ALIS-409 and ALIS-421 on Chemoprevention in Model Experiments

H TOKUDA,…. L AMARAL and J MOLNAR.ANTICANCER RESEARCH 33: 2021-2028 (2013).

ALIS

 

Figure 1. Chemical structures of ALIS-409 and ALIS-421.

Morpholino-disiloxane (ALIS-409) and piperazinodisiloxane (ALIS-421) compounds were developed as inhibitors of multidrug resistance of various types of cancer cells. In the present study, the effects of ALIS-409 and ALIS-421 compounds were investigated on cancer promotion and on co-existence of

tumor and normal cells. The two compounds were evaluated for their inhibitory effects on Epstein-Barr virus immediate early antigen (EBV-EA) expression induced by tetradecanoylphorbolacetate (TPA) in Raji cell cultures. The method is known as a primary screening test for antitumor effect, below the (IC50) concentration. ALIS-409 was more effective in inhibiting EBV-EA (100 μg/ml) and tumor promotion, than

ALIS-421, in the concentration range up to 1000 μg/ml. However, neither of the compounds were able to reduce tumor promotion significantly, expressed as inhibition of TPA-induced tumor antigen activation. Based on the in vitro results, the two disiloxanes were investigated in vivo for their effects on mouse skin tumors in a two-stage mouse skin carcinogenesis study.

 

 

 

 

 

 

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Liver Toxicity halts Clinical Trial of IAP Antagonist for Advanced Solid Tumors

Curator: Stephen J. Williams, Ph.D.

UPDATED 8/12/2022

Athough not related to IAP Antagonists this update does report 2 deaths from IDILI or idiosynchratic drug induced liver injury from a gene therapy trial using an AAV (adeno associated virus) targeting the disease spinal muscular atrophy.  Please see below after reading about IDILI.

 

A recent press release on FierceBiotech reported the FDA had put a halt on a phase 1 study for advanced refractory solid tumors and lymphomas of Curis Inc. oral inhibitor of apoptosis (IAP) antagonist CUDC-427.  The FDA placed the trial on partial clinical hold following reports of a death of a patient from severe liver failure.  The single-agent, dose escalation Phase 1 study was designed to determine the maximum tolerated dose and recommended doses for a Phase 2 trial. The press release can be found at:

http://www.fiercebiotech.com/press-releases/curis-reports-third-quarter-2013-financial-results-and-provides-cudc-427-de.

According to the report one patient with breast cancer that had metastasized to liver, lungs, bone, and ovaries developed severe hepatotoxicity as evidenced by elevated serum transaminase activities (AST and ALT) and hyper-billirubinemia.  Serum liver enzyme activities did not attenuate upon discontinuation of CUDC-427.  This was unlike prior experience to the CUDC-427 drug, in which decreased hepatic function was reversed upon drug discontinuation.  The patient died from liver failure one month after discontinuation of CUDC-427.

It was noted that no other patient had experienced such a serious, irreversible liver dysfunction.

Although any incidence of hepatotoxicity can be cause for concern, the incidence of IDIOSYNCRATIC IRREVERSIBLE HEPATOTOXICITY warrants a higher scrutiny.

Four general concepts can explain toxicity profiles and divergences between individuals:

  1. Toxicogenomics: Small differences in the genetic makeup between individuals (such as polymorphisms (SNP) could result in differences in toxicity profile for a drug.  This ais a serious possibility as only one patient presented with such irreversible liver damage
  2. Toxicodynamics:  The toxicologic effect is an extension of the pharmacologic mechanism of action (or  lack thereof: could there have been alternate signaling pathways activated in this patient or noncanonical mechanism)
  3. Toxicokinetic:  The differences in toxicological response due to differences in absorption, distribution, metabolism, excretion etc. (kinetic parameters)
  4. Idiosyncratic: etiology is unknown; usually a minority of adverse effects

 

Since there is not enough information to investigate toxicogenomic or toxicokinetic mechanisms for this compound, the rest of this post will investigate the possible mechanisms of hepatotoxicity due to IAP antagonists and clues from other clinical trials which might shed light on a mechanism of toxicity (toxicodynamic) or idiosyncratic events.

Therefore this post curates the current understanding of drug-induced liver injury (DILI), especially focusing on a type of liver injury referred to as idiosyncratic drug-induced liver injury (IDILI) in the context of:

  1. Targeted and newer chemotherapies such as IAP antagonists
  2. Current concepts of mechanisms of IDILI including:

i)        Inflammatory responses provoked by presence of disease

ii)      Cellular stresses, provoked by disease, uncovering NONCANONICAL toxicity pathways

iii)    Pharmacogenomics risk factors of IDILI

Eventually this post aims to stimulate the discussion: 

  • Given inflammation, genetic risk factors, and cellular stresses (seen in clinical setting) have been implicated in idiosyncratic drug-induced liver injury from targeted therapies, should preclinical hepatotoxicity studies also be conducted in the presence of the metastatic disease?
  • Does inflammation and cellular stress from clinical disease unmask NONCANONICAL pharmacologic and/or toxicological mechanisms of action?

Classification of types of Cellular Liver injury:  A listing of types of cellular injury is given for review

I.     Hepatic damage after Acute Exposure

A. Cytotoxic (Necrotic):  irreversible cell death characterized by loss of cell membrane integrity, intracellular swelling, nuclear shrinkage (pyknosis) and eventual cytoplasmic breakdown of nuclear DNA (either by a process known as karyolysis or karyorhexus) localized inflammation as a result of release of cellular constituents.  Intracellular ATP levels are commonly seen in necrotic death.  Necrosis, unlike apoptosis, does not require a source of ATP.  A nice review by Yoshihide Tsujimoto describing and showing (by microscopy) the  differences between apoptosis and necrosis can be found here.

B. Cholestatic:  hepatobiliary dysfunction with bile stasis and accumulation of bile salts.  Cholestatic injury can result in lipid (particularly cholesterol) accumulation in cannicular membranes resulting in decreased permeability of the membrane, hyperbillirubinemia and is generally thought to result in metabolic defects.

C. Lipid Peroxidation: free radical generation producing peroxide of cellular lipids, generally resulting in a cytotoxic cell death

II.     Hepatic damage after Chronic Exposure

A. Chirrotic: Chronic morphologic alteration of the liver characterized by the presence of septae of collagen distributed throughout the major portion of the liver; Forms fibrous sheaths altering hepatic blood flow, resulting in a necrotic process with scar tissue; Alteration of hepatic metabolic systems.

B. Carcinogenesis

III. Idiosyncratic Drug Induced Liver Injury

The aforementioned mechanisms of hepatotoxicity are commonly referred to as the “intrinsic” (or end target-organ) toxicity mechanisms.  Idiosyncratic drug-induced liver injury (IDILI) is not well understood but can be separated into allergic and nonallergic reactions.  Although the risk of acute liver failure associated with idiosyncratic hepatotoxins is low (about 1 in ten thousand patients) there are more than 1,000 drugs and herbal products associated with this type of toxic reaction. Idiosyncratic drug induced liver failure usually gets a black box warning from the FDA. Idiosyncratic drug-induced liver injury differs from “intrinsic” toxicity in that IDILI:

  • Happens in a minority of patients (susceptible patients)
  • Not reproducible in animal models
  • Not dose-dependent
  • Variable time of onset
  • Variable liver pathology (not distinctive lesions)
  • Not related to drug’s pharmacologic mechanism of action (trovafloxacin IDILI vs. levofloxacin)

A great review in Perspectives in Pharmacology written by Robert Roth and Patricia Ganey at Michigan State University explains these differences between intrinsic and idiosyncratic drug-induced hepatotoxicity[1] (however authors do note that there are many similarities between the two mechanisms).    It is felt that drug sensitivity (allergic) and inflammatory responses (nonallergic) may contribute to the occurrence of IDILI.  For instance lipopolysaccharide (LPS) form bacteria can potentiate acetaminophen toxicity.  In fact animal models of IDILI have been somewhat successful:

  • co-treatment of rats and mice with nontoxic doses of trovafloxacin (casues IDILI in humans) and LPS resulted in marked hepatotoxicity while no hepatotoxicity seen with levofloxacin plus LPS[2]
  • correlates well with incidence of human IDILI (adapted from a review Inflammatory Stress and Idiosyncratic Hepatotoxicity: Hints from Animal Models (in Pharmacology Reviews)[3].  Idiosyncratic injury damage has been reported for diclofenac, halothane, and sulinac.  These drugs also show hepatotoxicity in the LPS model for IDILI.
  • Roth and Ganey suggest the reason why idiosyncratic hepatotoxicity is not seen  in most acute animal toxicity studies is that, in absence of stress/inflammation  IDILI occurrence is masked by lethality but stress/inflammation shifts increases sensitivity to liver injury at a point before lethality is seen

IDILdosestressrossmantheory

Figure.  Idiosyncratic toxic responses of the liver.    In the absence of stress and/or genetic factors, drug exposure may result in an idiosyncratic liver injury (IDILI) at a point (or dose) beyond the therapeutic range and lethal exposure for that drug.  Preclinical studies, usually conducted at sublethal doses, would not detect DILI .  Stress and/or genetic factors sensitize the liver to toxic effects of the drug (synergism) and DILI is detected at exposure levels closer to therapeutic range.  Note IDILI is not necessarily dose-dependent but cellular stress (like ROS or inflammation) may expose NONCANONICAL mechanisms of drug action or toxicity which result in IDILI. Model adapted from Roth and Ganey.

What Stress factors contribute to IDILI?

Various stresses including inflammation from bacterial, viral infections ,inflammatory cytokines  and stress from reactive oxygen (ROS) have been suggested as mechanisms for IDILI.

  1. Inflammation/Cytokines (also discussed in other sections of this post):  Inflammation has long been associated with human cases of DILI.    Many cytokines and inflammatory mediators have been implicated including TNFα, IL7, TGFβ, and IFNϒ (viral infection) leading some to conclude that serum measurement of cytokines could be a potential biomarker for DILI[4].  In addition, ROS (see below) is generated from inflammation and also considered a risk factor for DILI[5].
  2. Reactive Oxygen (ROS)/Reactive Metabolites: Oxidative stress, either generated from reactive drug metabolites or from mitochondrial sources, has been shown to be involved in apoptotic and necrotic cell death.  Both alterations in the enzymes involved in the generation of and protection from ROS have been implicated in increased risk to DILI including (as discussed further) alterations in mitochondrial superoxide dismutase 2 (SOD2) and glutathione S-transferases.  Both ROS and inflammatory cytokines can promote JNK signaling, which has been implicated in DILI[6].

Dr. Neil Kaplowitz suggested that we:

“develop a unifying hypothesis that involves underlying genetic or acquired mitochondrial abnormalities as a major determinant of susceptibility for a number of drugs that target mitochondria and cause DILI. The mitochondrial hypothesis, implying gradually accumulating and initially silent mitochondrial injury in heteroplasmic cells which reaches a critical threshold and abruptly triggers liver injury, is consistent with the findings that typically idiosyncratic DILI is delayed (by weeks or months), that increasing age and female gender are risk factors and that these drugs are targeted to the liver and clearly exhibit a mitochondrial hazard in vitro and in vivo. New animal models (e.g., the Sod2(+/-) mouse) provide supporting evidence for this concept. However, genetic analyses of DILI patient samples are needed to ultimately provide the proof-of-concept”[7].

Clin Infect Dis. 2004 Mar 38(Supplement 2) S44-8, Figure 1

Clin Infect Dis. 2004 Mar 38(Supplement 2) S44-8, Figure 3

Figures. Mechanisms of Drug-Induced Liver Injury and Factors related to the occurrence of  DILI (used with permission from Oxford Press; reference [7])

To this end, Dr. Brett Howell and other colleagues at the Hamner-UNC Institute for Drug Safety Sciences (IDSS) developed an in-silico model of DILI ( the DILISym™ model)which is based on  depletion of cellular ATP and reactive metabolite formation as indices of DILI.

Have there been Genetic Risk Factors identified for DILI?

Candidate-gene-associated studies (CGAS) have been able to identify several genetic risk factors for DILI including:

  1. Uridine Diphosphate Glucuronosyltransferase 2B7 (UGT2B7): variant increased susceptibility to diclofenac-induced DILI
  2. Adenosine triphosphate-binding cassette C2 (ABCC2) variant ABCC-24CT increased susceptibility to diclofenac-induced DILI
  3. Glutathione S-transferase (GSTT1): patients with a double GSTT1-GSTM1 null genotype had a significant 2.7 fold increased risk of DILI from nonsteroidal anti-inlammatory agents, troglitazone and tacrine.  GSTs are involved in the detoxification of phase 1 metabolites and also protect against cellular ROS.

Although these CGAS confirmed these genetic risk factors,  Stefan Russman suggests a priori genome-wide association studies (GWAS) might provide a more complete picture of genetic risk factors for DILI as CGAS is limited due to

  1. Candidate genes are selected based on current mechanisms and knowledge of DILI so genetic variants with no known knowledge of or mechanistic information would not be detected
  2. Many CGAS rely on analysis of a limited number of SNP and did not consider intronic regions which may control gene expression

A priori GWAS have the advantage of being hypothesis-free, and although they may produce a high number of false-positives, new studies of genetic risk factors of ximelagatran, flucioxaciliin and diclofenac-induced liver injury are using a hybrid approach which combines the whole genome and unbiased benefits of GWAS with the confirmatory and rational design of CGAS[8-10].

Even though idiosyncratic DILI is rare, the severity, unpredictable onset, and unknown etiology and risk factors have prompted investigators such as Stefan Russmann from University Hospital Zurich and Ignazio Grattagliano from University of Bari to suggest:

Identification of risk factors for rare idiosyncratic hepatotoxicity requires special networks that contribute to data collection and subsequent identification of environmental as well as genetic risk factors for clinical cases of idiosyncratic DILI[11].

Therefore, a DILI network project (DILIN) had been developed to collect samples and detailed genetic and clinical data on IDILI cases from multiple medical centers.  The project aims to identify the upstream and downstream genetic risk factors for IDILI[12].  Please see a SlideShare presentation here of the goals of the DILI network project.

Drs Colin Spraggs and Christine Hunt had reviewed possible genetic risk factors of DILI seen with various tyrosine kinase inhibitors (TKIs) including Lapatinib (Tykerb/Tyverb©, a dual inhibitor of  HER2/EGFR heterodimer) and paopanib (Votrient©; a TKI that targets VEGFR1,2,3 and PDGFRs)[13].

From a compilation of studies:

  • Elevation in serum bilirubin during treatment with lapatinib and pazopanib are associated with UGT1A1 polymorphism related to Gilbert’s syndrome (a clinically benign syndrome)
  • Anecdotal evidence shows that polymorphisms of lapatinib and pazopanib metabolizing enzymes may contribute to differences seen in onset of DILI
  • Pazopanib-induced elevations of ALT correlate with HFE variants, suggesting alterations in iron transport may predispose to DILI
  • Strong correlations between lapatinib-induced DILI and class II HLA locus suggest inflammatory stress response important in DILI

Note that these clinical findings were not evident from the preclinical tox studies. According to the European Medicines Agency assessment report for Tykerb states: “the major findings in repeat dose toxicity studies were attributed to lapatinib pharmacology (epithelial effect in skin and GI system.  The toxic events occurred at exposures close to the human exposure at the recommended dose.  Repeat-dose toxicity studies did not reveal important safety concerns than what would be expected from the mode of action”.

However, it should be noted that in high dose repeat studies in mice and rats, severe lethality was seen with hematologic, gastrointestinal toxicities in combination with altered blood chemistry parameters and yellowing of internal organs.

IAP Antagonists, Mechanism of Action, and Clinical Trials:

A few IAP antagonists which are in early stage development include:

  • Norvatis IAP Inhibitor LCL161: at 2012 San Antonia Breast Cancer Symposium, a phase 1 trial in triple negative breast cancer showed promising results when given in combination with paclitaxel.
  • Ascenta Therapeutics IAP inhibitor AT-406 in phase 1 in collaboration with Debiopharm S.A. showed antitumor efficacy in xenograft models of breast, pancreatic, prostate and lung cancer. The development of this compound is described in a paper by Cai et. al.

National Cancer Institute sponsored trials using antagonists of IAPs include

  • Phase II Study of Birinapant for Advanced Ovarian, Fallopian Tube, and Peritoneal Cancer (NCI-12-C-0191). Principle Investigator: Dr. Christina Annunziata. See the protocol summary. More open trials for this drug are located here.  Closed trials including safety studies can be found here.
  • A Phase 1 non-randomized dose escalation study to determine maximum tolerated dose (MTD) and characterize the safety for the TetraLogic compound TL32711 had just been completed. Results have not been published yet.
  • Closed Clinical trials with the IAP antagonist HGS1029 in advanced solid tumors determined that weekly i.v. administration of HGS1029 reported a safety issue for primary outcome measures

A great review on IAP proteins and their role as regulators of apoptosis and potential targets for cancer therapy [14] can be found as a part of a Special Issue in Experimental Oncology “Apoptosis: Four Decades Later”.  Human IAPs (inhibitors of apoptosis) consist of eight proteins involved in cell death, immunity, inflammation, cell cycle, and migration including:

In general, IAP proteins are directly involved in inhibiting apoptosis by binding and directly inhibiting the effector cysteine protease caspases (caspase 3/7) ultimately responsible for the apoptotic process [15].  IAPs were actually first identified in baculoviral genomes because of their ability to suppress host-cell death responses during viral infection [16]. IAP proteins are often overexpressed in cancers [17].

Apoptosis is separated into two pathways, defined by the initial stress or death signal and the caspases involved:

  1. Extrinsic pathway: initiated by TNFα and death ligand FasLigand;  involves caspase-8; process inhibited by IAP1/2
  2. Intrinsic pathway: initiated by DNA damage, irradiation, chemotherapeutics; mitochondrial pathway involving caspase 9 and cytochrome c release from mitochondria; mitochondria also releases SMAC/DIABLO, which binds and inhibits XIAP (XIAP inhibits the Intrinsic apoptotic pathway.

 intrinsicextrinsicapoptosiswikidot

 

Intrinsic and Extrinsic pathways of apoptosis. Figure photocredit (wikidot.com)

The Curis IAP antagonist (and others) is a SMAC small molecule mimetic. It is interesting to note [18, 19] that IAP antagonists can result in death by

  • Apoptosis: an IAP antagonist in presence of competent TNFα signaling
  • Necrosis: seen with IAP inhibitors in cells with altered TNFα signaling or with presence of caspase inhibitors

IAPs are also involved in the regulation of signaling pathways such as:

NF-ΚB signaling pathway

NF-ΚB is a “rapid-acting” transcription factor which has been found to be overexpressed in various cancers.  Under most circumstances NF-ΚB translocation to the nucleus results in transcription of genes related to cell proliferation and survival.  NF-ΚB signaling is broken down in two pathways

  1. Canonical:  Canonical pathway can be initiated (for example in inflammation) when TNF-α binds its receptors activating  death domains (TRADD)
  2. Noncanonical: since requires new protein synthesis takes longer than canonical signaling.  Can be initiated by other TNF like ligands like CD40

IAP1/2 is a negative regulator of the noncanonical NF-ΚB signaling pathway by promoting proteosomal degradation of the TRAF signaling complex. A wonderfully annotated list of NF-ΚB target genes can be found on the Thomas Gilmore lab site at Boston University at http://www.bu.edu/nf-kb/gene-resources/target-genes/ .

NF-ΚB has been considered a possible target for chemotherapeutic development however Drs. Veronique Baud and Michael Karin have pondered the utility of IAP antagonists as a good target in their review: Is NF-ΚB a good target for cancer therapy?: Hopes and pitfalls [20].  The authors discuss issues such that IAP antagonism induced both the classical and noncanonical NF-ΚB pathway thru NIK stabilization, resulting in stabilization of NF-ΚB signaling and thereby undoing any chemotherapeutic effect which would be desired.

AKT signaling

IAPs have been shown to interact with other proteins including a report that SIAP regulates AKT activity and caspase-3-dependent cleavage during cisplatin-induced apoptosis in human ovarian cancer cells and could be another mechanism involved in cisplatin resistance[21].   In addition there have been reports that IAPs can regulate JNK and MAPK signaling.

Therefore, IAPs are involved in CANONICAL and NONCANONICAL pathways.

IAPs can Regulate Pro-Inflammatory Cytokines

A recent 2013 JBC paper [22]showed that IAPs and their antagonists can regulate spontaneous and TNF-induced proinflammatory cytokine and chemokine production and release

  • IAP required for production of multiple TNF-induced proinflammatory mediators
  • IAP antagonism decreased TNF-mediated production of chemokines and cytokines
  • But increased spontaneous release of chemokines

In addition Rume Damgaard and Mads Gynd-Hansen have suggested that IAP antagonists may be useful in treating inflammatory diseases like Crohn’s disease as IAPs regulate innate and acquired immune responses[23].

Toxicity profiles of IAP antagonists

NOTE: In a paper in Toxicological Science from 2012[24], Rebecca Ida Erickson form Genentech reported on the toxicity profile of the IAP antagonist GDC-0152 from a study performed in dogs and rats. A dose-dependent toxicity profile from i.v. administration was consistent with TNFα-mediated toxicity with

  • Elevated plasma cytokines and an inflammatory leukogram
  • Increased serum transaminases
  • Inflammatory infiltrate and apoptosis/necrosis in multiple tissues

In a related note, a similar type of fatal idiosyncratic hepatotoxicity was reported in a 62 year-old man treated with the Raf kinase inhibitor sorafenib for renal cell carcinoma[25]: Fatal case of sorafenib-associated idiosyncratic hepatotoxicity in the adjuvant treatment of a patient with renal cell carcinoma; Case Report  in BMC Cancer.

At week four after initiation of sorafenib treatment, the patient noticed increasing fatigue, malaise, gastrointestinal discomfort and abdominal rash.  Although treatment was discontinued, jaundice developed and blood test revealed an acute hepatitis with

  • Elevated serum ALT
  • Elevated serum alkaline phosphatase
  • Increased prothrombin time
  • Increased LDH

…elevated levels seen in the case with the aforementioned IAP antagonist.  Autopsy revealed

  • Lobular hepatitis
  • Mononuclear cell infiltrate
  • Hepatocyte necrosis

These findings are in line with a drug-induced inflammation and IDILI. In addition to hepatotoxicity, renal insufficiency developed in this patient. The authors had suggested the death was probably due to “an idiosyncratic allergic reaction to sorafenib manifesting as hepatotoxicity with associated renal impairment”.  The authors also noted that genome wide association studies of idiosyncratic drug-induced liver injury support involvement of major histocompatibility complex (MHC) polymorphisms[26].  MHC involvement has also been associated with lapatanib and pazopanib hepatotoxicity [27, 28].

Curis has been involved in another novel oncology therapeutic, a first in class.

Last year Roche and Genentech had won approval for a Hedgehog pathway inhibitor vismodegib for treatment of advanced basal cell carcinoma (reported at FierceBiotech©). Vismodegib was initially developed in collaboration with Curis, Inc.  The hedgehog signaling pathway, which controls the function of Gli factors (involved in stem cell differentiation), is overactive in advanced basal cell carcinoma as well as other cancer types.

As an additional reference, the FDA National Center for Toxicological Research has developed THE LIVER TOXICITY KNOWLEDGE BASE (LTKB).

“The LTKB is a project designed to study drug-induced liver injury (DILI). Liver toxicity is the most common cause for the discontinuation of clinical trials on a drug, as well as the most common reason for an approved drug’s withdrawal from the marketplace. Because of this, DILI has been identified by the FDA’s Critical Path Initiatives as a key area of focus in a concerted effort to broaden the agency’s knowledge for better evaluation tools and safety biomarkers.”

A nice SlideShow of Toxicity of Targeted Therapies can be found here: http://www.slideshare.net/RashaHaggag/toxicities-of-targeted-therapies

Also please note that ALL GENES in this article are linked to their GENECARD 

UPDATED 8/12/2022

 

Zolgensma Gene Therapy Linked to 2 Deaths in SMA Patients, Novartis Reports

The 2 deaths, due to acute liver failure, occurred in patients treated in Kazakhstan and Russia.

Two children with spinal muscular atrophy (SMA) have died after being treated with onasemnogene abeparvovec (Zolgensma; Novartis) from acute liver failure, a known safety risk of the therapy.1

Novartis has updated the FDA and other regulatory agencies in countries that Zolgensma is approved in, including Russia and Kazakhstan, where the deaths occurred. The company will also update the labeling of Zolgensma to include the deaths.

“While this is important safety information, it is not a new safety signal and we firmly believe in the overall favorable risk/benefit profile of Zolgensma, which to date has been used to treat more than 2300 patients worldwide across clinical trials, managed access programs, and in the commercial setting,” Novartis said in an emailed statement to BioPharma Dive.2

Zolgensma’s labeling includes the risk of liver injury and instructs clinicians to assess liver function before treatment and to manage liver enzyme counts with steroid treatment. The 2 deaths occurred 5 to 6 weeks after the one-time infusion and 1 to 10 days after corticosteroid treatment was tapered, according to an initial report from Stat News.1

READ MORE: Zolgensma Shows Efficacy in SMA With 3 SMN2 Copies

An FDA advisory committee meeting that took place last fall identified risks of adeno associated virus (AAV) gene therapies including, specifically, Zolgensma.2 The committee recommended caution, but nothing that would hinder gene therapy development.

Zolgensma, which was approved in the US in May 2019, just recently demonstrated further positive data from SPR1NT (NCT03505099), a phase 3 multicenter, single-arm trial on its effect in presymptomatic children with SMA in 2 articles published in Nature Medicine.3,4

All children in both the type 1 and type 2 cohorts achieved the ability to independently sit and most achieved other age-appropriate milestones including standing and walking. None of the children in the study required respiratory support or nutritional support, and there were no serious treatment-related adverse events observed.

“The robust data from both the 2- and 3-copy SPR1NT cohorts are being published together for the first time, further supporting the significant and clinically meaningful benefit of Zolgensma in presymptomatic babies with SMA,” Shephard Mpofu, MD, SVP, chief medical officer, Novartis Gene Therapies, said in a previous statement.5 “When treated with Zolgensma prior to the onset of symptoms, not only did all 29 patients enrolled in SPR1NT survive, but were thriving—breathing and eating on their own, with most even sitting, standing, and walking without assistance.”

REFERENCE

1. Silverman E. Novartis reports two children died from acute liver failure after treatment with Zolgensma gene therapy. STAT. August 11, 2022. https://www.statnews.com/pharmalot/2022/08/11/novartis-zolgensma-liver-failure-gene-therapy-death/

2. Pagliarulo N. Novartis reports deaths of two patients treated with Zolgensma gene therapy. BioPharma Dive. August 12, 2022. https://www.biopharmadive.com/news/novartis-zolgensma-patient-death-liver-injury/629542/

3. Strauss KA, Farrar MA, Muntoni F, et al. Onasemnogeneabeparvovec for presymptomatic infants with two copies of SMN2 at risk for spinal muscular atrophy type 1: the Phase III SPR1NT trial. Nat Med. Published online June 17, 2022. doi:10.1038/s41591-022-01866-42

4. Strauss KA, Farrar MA, Muntoni F, et al. Onasemnogeneabeparvovec for presymptomatic infants with three copies of SMN2 at risk for spinal muscular atrophy: the Phase III SPR1NT trial. Nat Med. Published online June 17, 2022.doi: 10.1038/s41591-022-01867-3

5. Novartis announces Nature Medicine publication of Zolgensma data demonstrating age-appropriate milestones when treating children with SMA presymptomatically. News release. Novartis. June 17, 2022. https://firstwordpharma.com/story/5597735

 

REFERENCES

1.            Roth RA, Ganey PE: Intrinsic versus idiosyncratic drug-induced hepatotoxicity–two villains or one? The Journal of pharmacology and experimental therapeutics 2010, 332(3):692-697.

2.            Waring JF, Liguori MJ, Luyendyk JP, Maddox JF, Ganey PE, Stachlewitz RF, North C, Blomme EA, Roth RA: Microarray analysis of lipopolysaccharide potentiation of trovafloxacin-induced liver injury in rats suggests a role for proinflammatory chemokines and neutrophils. The Journal of pharmacology and experimental therapeutics 2006, 316(3):1080-1087.

3.            Deng X, Luyendyk JP, Ganey PE, Roth RA: Inflammatory stress and idiosyncratic hepatotoxicity: hints from animal models. Pharmacological reviews 2009, 61(3):262-282.

4.            Laverty HG, Antoine DJ, Benson C, Chaponda M, Williams D, Kevin Park B: The potential of cytokines as safety biomarkers for drug-induced liver injury. European journal of clinical pharmacology 2010, 66(10):961-976.

5.            Schwabe RF, Brenner DA: Mechanisms of Liver Injury. I. TNF-alpha-induced liver injury: role of IKK, JNK, and ROS pathways. American journal of physiology Gastrointestinal and liver physiology 2006, 290(4):G583-589.

6.            Seki E, Brenner DA, Karin M: A liver full of JNK: signaling in regulation of cell function and disease pathogenesis, and clinical approaches. Gastroenterology 2012, 143(2):307-320.

7.            Kaplowitz N: Drug-induced liver injury. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2004, 38 Suppl 2:S44-48.

8.            Kindmark A, Jawaid A, Harbron CG, Barratt BJ, Bengtsson OF, Andersson TB, Carlsson S, Cederbrant KE, Gibson NJ, Armstrong M et al: Genome-wide pharmacogenetic investigation of a hepatic adverse event without clinical signs of immunopathology suggests an underlying immune pathogenesis. The pharmacogenomics journal 2008, 8(3):186-195.

9.            Aithal GP, Ramsay L, Daly AK, Sonchit N, Leathart JB, Alexander G, Kenna JG, Caldwell J, Day CP: Hepatic adducts, circulating antibodies, and cytokine polymorphisms in patients with diclofenac hepatotoxicity. Hepatology 2004, 39(5):1430-1440.

10.          Daly AK, Aithal GP, Leathart JB, Swainsbury RA, Dang TS, Day CP: Genetic susceptibility to diclofenac-induced hepatotoxicity: contribution of UGT2B7, CYP2C8, and ABCC2 genotypes. Gastroenterology 2007, 132(1):272-281.

11.          Russmann S, Kullak-Ublick GA, Grattagliano I: Current concepts of mechanisms in drug-induced hepatotoxicity. Current medicinal chemistry 2009, 16(23):3041-3053.

12.          Fontana RJ, Watkins PB, Bonkovsky HL, Chalasani N, Davern T, Serrano J, Rochon J: Drug-Induced Liver Injury Network (DILIN) prospective study: rationale, design and conduct. Drug safety : an international journal of medical toxicology and drug experience 2009, 32(1):55-68.

13.          Spraggs CF, Xu CF, Hunt CM: Genetic characterization to improve interpretation and clinical management of hepatotoxicity caused by tyrosine kinase inhibitors. Pharmacogenomics 2013, 14(5):541-554.

14.          de Almagro MC, Vucic D: The inhibitor of apoptosis (IAP) proteins are critical regulators of signaling pathways and targets for anti-cancer therapy. Experimental oncology 2012, 34(3):200-211.

15.          Deveraux QL, Takahashi R, Salvesen GS, Reed JC: X-linked IAP is a direct inhibitor of cell-death proteases. Nature 1997, 388(6639):300-304.

16.          Crook NE, Clem RJ, Miller LK: An apoptosis-inhibiting baculovirus gene with a zinc finger-like motif. Journal of virology 1993, 67(4):2168-2174.

17.          Tamm I, Kornblau SM, Segall H, Krajewski S, Welsh K, Kitada S, Scudiero DA, Tudor G, Qui YH, Monks A et al: Expression and prognostic significance of IAP-family genes in human cancers and myeloid leukemias. Clinical cancer research : an official journal of the American Association for Cancer Research 2000, 6(5):1796-1803.

18.          Laukens B, Jennewein C, Schenk B, Vanlangenakker N, Schier A, Cristofanon S, Zobel K, Deshayes K, Vucic D, Jeremias I et al: Smac mimetic bypasses apoptosis resistance in FADD- or caspase-8-deficient cells by priming for tumor necrosis factor alpha-induced necroptosis. Neoplasia 2011, 13(10):971-979.

19.          He S, Wang L, Miao L, Wang T, Du F, Zhao L, Wang X: Receptor interacting protein kinase-3 determines cellular necrotic response to TNF-alpha. Cell 2009, 137(6):1100-1111.

20.          Baud V, Karin M: Is NF-kappaB a good target for cancer therapy? Hopes and pitfalls. Nature reviews Drug discovery 2009, 8(1):33-40.

21.          Asselin E, Mills GB, Tsang BK: XIAP regulates Akt activity and caspase-3-dependent cleavage during cisplatin-induced apoptosis in human ovarian epithelial cancer cells. Cancer research 2001, 61(5):1862-1868.

22.          Kearney CJ, Sheridan C, Cullen SP, Tynan GA, Logue SE, Afonina IS, Vucic D, Lavelle EC, Martin SJ: Inhibitor of apoptosis proteins (IAPs) and their antagonists regulate spontaneous and tumor necrosis factor (TNF)-induced proinflammatory cytokine and chemokine production. The Journal of biological chemistry 2013, 288(7):4878-4890.

23.          Damgaard RB, Gyrd-Hansen M: Inhibitor of apoptosis (IAP) proteins in regulation of inflammation and innate immunity. Discovery medicine 2011, 11(58):221-231.

24.          Erickson RI, Tarrant J, Cain G, Lewin-Koh SC, Dybdal N, Wong H, Blackwood E, West K, Steigerwalt R, Mamounas M et al: Toxicity profile of small-molecule IAP antagonist GDC-0152 is linked to TNF-alpha pharmacology. Toxicological sciences : an official journal of the Society of Toxicology 2013, 131(1):247-258.

25.          Fairfax BP, Pratap S, Roberts IS, Collier J, Kaplan R, Meade AM, Ritchie AW, Eisen T, Macaulay VM, Protheroe A: Fatal case of sorafenib-associated idiosyncratic hepatotoxicity in the adjuvant treatment of a patient with renal cell carcinoma. BMC cancer 2012, 12:590.

26.          Daly AK: Drug-induced liver injury: past, present and future. Pharmacogenomics 2010, 11(5):607-611.

27.          Spraggs CF, Budde LR, Briley LP, Bing N, Cox CJ, King KS, Whittaker JC, Mooser VE, Preston AJ, Stein SH et al: HLA-DQA1*02:01 is a major risk factor for lapatinib-induced hepatotoxicity in women with advanced breast cancer. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 2011, 29(6):667-673.

28.          Xu CF, Reck BH, Goodman VL, Xue Z, Huang L, Barnes MR, Koshy B, Spraggs CF, Mooser VE, Cardon LR et al: Association of the hemochromatosis gene with pazopanib-induced transaminase elevation in renal cell carcinoma. Journal of hepatology 2011, 54(6):1237-1243.

Other articles on the site about Toxicology and Pharmacology of New Classes of Cancer Chemotherapy include:

FDA Guidelines For Developmental and Reproductive Toxicology (DART) Studies for Small Molecules

Gamma Linolenic Acid (GLA) as a Therapeutic tool in the Management of Glioblastoma

DNA Methultransferases – Implications to Epigenetic Regulation and Cancer Therapy Targeting: James Shen, PhD

Molecular Profiling in Cancer Immunotherapy: Debraj GuhaThakurta, PhD

AT13148 – A Novel Oral Multi-AGC Kinase Inhibitor Has Potent Antitumor Activity

Targeting Mitochondrial-bound Hexokinase for Cancer Therapy

Breast Cancer, drug resistance, and biopharmaceutical targets

Ubiquitin-Proteosome pathway, Autophagy, the Mitochondrion, Proteolysis and Cell Apoptosis: Part III

Ubiquinin-Proteosome pathway, autophagy, the mitochondrion, proteolysis and cell apoptosis

Read Full Post »

Contributions to Cardiomyocyte Interactions and Signaling

Author and Curator: Larry H Bernstein, MD, FCAP

and

Curator: Aviva Lev-Ari, PhD, RN

Introduction

This is Part II of the ongoing research in the Lee Laboratory, concerned with Richard T Lee’s dissection of the underlying problems that will lead to a successful resolution of myocardiocyte regeneration unhampered by toxicity, and having a suffuciently sustained effect for an evaluation and introduction to the clinic.  This would be a milestone in the treatment of heart failure, and an alternative to transplantation surgery.  This second presentation focuses on the basic science work underpinning the therapeutic investigations.  It is work that, if it was unsupported and did not occur because of insufficient funding, the Part I story could not be told.

Cardiomyocyte hypertrophy and degradation of connexin43 through spatially restricted autocrine/paracrine heparin-binding EGF

J Yoshioka, RN Prince, H Huang, SB Perkins, FU Cruz, C MacGillivray, DA Lauffenburger, and RT Lee *
Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA; and Biological Engineering Division, MIT, Cambridge, MA
PNAS 2005; 302(30):10622-10627.  http://pnas.org/cgi/doi/10.1073/pnas.0501198102

Growth factor signaling can affect tissue remodeling through autocrine/paracrine mechanisms. Recent evidence indicates that EGF receptor transactivation by heparin-binding EGF (HB-EGF) contributes to hypertrophic signaling in cardiomyocytes. Here, we show that HB-EGF operates in a spatially restricted circuit in the extracellular space within the myocardium, revealing the critical nature of the local microenvironment in intercellular signaling. This highly localized microenvironment of HB-EGF signaling was demonstrated with 3D morphology, consistent with predictions from a computational model of EGF signaling. HB-EGF secretion by a given cardiomyocyte in mouse left ventricles led to cellular hypertrophy and reduced expression of connexin43 in the overexpressing cell and in immediately adjacent cells but not in cells farther away. Thus, HB-EGF acts as an autocrine and local paracrine cardiac growth factor that leads to loss of gap junction proteins within a spatially confined microenvironment. These findings demonstrate how cells can coordinate remodeling with their immediate neighboring cells with highly localized extracellular EGF signaling. Within 3D tissues, cells must coordinate remodeling in response to stress or growth signals, and this communication may occur by direct contact or by secreted signaling molecules. Cardiac hypertrophy is a physiological response that enables the heart to adapt to an initial stress; however, hypertrophy can ultimately lead to the deterioration in cardiac function and an increase in cardiac arrhythmias. Although considerable progress has been made in elucidating the molecular pathogenesis of cardiac hypertrophy, the precise mechanisms guiding the hypertrophic process remain unknown. Recent evidence suggests that myocardial heparin-binding (HB)-epidermal growth factor participates in the hypertrophic response. In cardiomyocytes, hypertrophic stimuli markedly increase expression of the HB-EGF gene, suggesting that HB-EGF can act as an autocrine trophic factor that contributes to cellular growth. HB-EGF is first synthesized as a membrane-anchored form (proHB-EGF), and subsequent ectodo-main shedding at the cell surface releases the soluble form of HB-EGF. Soluble HB-EGF is a diffusible factor that can be captured by the receptors to activate the intracellular EGF receptor signaling cascade. Indeed, EGF receptor (EGFR) transactivation, triggered by shedding of HB-EGF from the cell surface, plays an important role in cardiac hypertrophy resulting from pressure overload in the aortic-banding model. EGFR activation can occur through autocrine and paracrine signaling. In autocrine signaling, a cell produces and responds to the same signaling molecules. Paracrine signaling molecules can target groups of distant cells or act as localized mediators affecting only cells in the immediate environment of the signaling cell. Thus, although locally produced HB-EGF may travel through the extra-cellular space, it may also be recaptured by the EGFR close to the point where it was released from the cell surface. The impact of spatially localized microenvironments of signaling could be extensive heterogeneous tissue remodeling, which can be particularly important in an electrically coupled tissue like myocardium. Interestingly, recent data suggest that EGF can regulate protea-some-dependent degradation of connexin43 (Cx43), a major trans-membrane gap junction protein, in liver epithelial cells, along with a rapid inhibition of cell–cell communication through gap junctions. One of the critical potential myocardial effects of HB-EGF could therefore be to increase degradation of Cx43 and reduce electrical stability of the heart. Reduced content of Cx43 is commonly observed in chronic heart diseases such as hypertrophy, myocardial infarction, and failure. Thus, we hypothesized that HB-EGF signals may operate in a spatially restricted local circuit in the extracellular space. We also hypothesized that HB-EGF secretion by a given cardiomyocyte could create a local remodeling microenvironment of decreased Cx43 within the myocardium. To explore whether HB-EGF signaling is highly spatially constrained, we took advantage of the nonuniform gene transfer to cardiac myocytes in vivo, normally considered a pitfall of gene therapy. We also performed computational modeling to predict HB-EGF dynamics and developed a 3D approach to measure cardiomyocyte hypertrophy.

Results

Autocrine HB-EGF and Cardiomyocyte Growth.

To assess the effects of gene transfer of HB-EGF on cardiomyocyte hypertrophy, cells were infected with adenoviral vectors expressing GFP alone (Ad-GFP) or HB-EGF and GFP (Ad-HB-EGF). At this level of infection, 99% of cardiomyocytes were transduced. The incidence of apoptotic cell death (sub-G1 fraction) was not different between Ad-GFP cells, suggesting that expression of GFP by the adenoviral vector was not cardiotoxic in these conditions. Western analysis by using an anti-HB-EGF antibody confirmed successful gene transfer of HB-EGF in cardiomyocytes (18 ± 5-fold, n = 4, P < 0.01); HB-EGF appeared electrophoretically as several bands from 15 to 30 kDa (Fig. 1A). The strongest band corresponds to the soluble 20-kDa form of HB-EGF. To confirm that Ad-HB-EGF results in cellular hypertrophy, cell size and protein synthesis were measured. Ad-HB-EGF enlarged cardiomyocytes compared with Ad-GFP-infected cells by phase-contrast microscopy (24 ± 10% increase in cell surface area, n = 27, P < 0.05) and with flow cytometry analysis (26 ± 10% increase of Ad-GFP infected cells, P < 0.01, Fig. 1B). Overexpression of HB-EGF increased total protein synthesis in cardiomyocytes as measured by [3H]leucine uptake (34 ± 6% of Ad-GFP, n = 6, P < 0.01, Fig. 1C). Uninfected cells within the same dish (and thus sharing the same culture media) did not develop hypertrophy. Additionally, medium from cultures previously infected with Ad-HB-EGF for 48 h was collected and applied to adenovirus-free cultures. Conditioned medium from Ad-HB-EGF-infected cardiomyocytes failed to stimulate hypertrophy in naive cardiomyocytes (Fig. 1C), and there were no significant differences in cell size between noninfected cells from Ad-GFP and Ad-HB-EGF dishes. These results suggest that HB-EGF acts primarily as an autocrine growth factor in cardiomyocytes in vitro.
Because the dilution factor in culture media is important for autocrine/paracrine signaling, we determined the concentration of soluble HB-EGF in the conditioned medium and the effective concentration to stimulate cardiomyocyte growth. HB-EGF levels in the conditioned medium from Ad-HB-EGF dishes were 258 ± 73 pg/ml (n = 4), whereas HB-EGF levels from Ad-GFP dishes (n = 8) were below the limit of detection (6.7 pg/ml). The addition of 300 pg/ml of exogenous recombinant HB-EGF into fresh media failed to stimulate hypertrophy in cardiomyocytes as measured by [3H]leucine uptake (-12 ± 5.0% compared with control, n = 5,P = not significant), but 2,000 pg/ml of recombinant HB-EGF did result in a significant effect (+24 ± 5.5% compared with control, n = 6, P < 0.05). This comparison implies that the local concentration of autocrine ligand is substantially greater than that indicated by a bulk measurement of conditioned media, consistent with previous experimental and theoretical studies.

Fig. 1. Effects of gene transfer of HB-EGF on rat neonatal cardiomyocyte growth.

(A) Cells were infected with adenoviral vectors expressing GFP (Ad-GFP), or HB-EGF and GFP (Ad-HB-EGF). Western analysis showed the successful gene transfer of HB-EGF. (8) FACS analysis of 5,000 cardiomyocytes demonstrated that overexpression of HB-EGF produced a 26 ± 10% increase in cell size that was significantly greater than the overex-pression of GFP. Bar graphs with errors represent mean ± SEM from three independent experiments. **, P < 0.01 vs. Ad-HB-EGF-nonin-fected cells and Ad-GFP nonin-fected cells. , P < 0.05 vs. Ad-GFP infected cells. (C) Overexpression of HB-EGF resulted in a 34 ± 6% increase in [3H]leucine uptake compared with Ad-GFP (n = 6), whereas conditioned medium from Ad-HB-EGF cells caused an only insignificant increase. **, P < 0.05 vs. Ad-GFP control and conditioned medium Ad-GFP.

 Effects of HB-EGF on Cx43 Content in Cultured Cardiomyocytes

Because EGF can induce degradation of the gap junction protein Cx43 in other cells, we then determined whether Cx43 is regulated by HB-EGF in cardiomyocytes. Fig. 2A shows a representative immunoblot from three separate experiments in which Cx43 migrated as three major bands at 46, 43, and 41 kDa, as reported in ref. 16. Overexpression of HB-EGF decreased total Cx43 content (27 ± 11% compared with Ad-GFP, n = 4, P < 0.05) without affecting the intercellular adhesion protein, N-cadherin. The phosphorylation of ERK1/2, an intracellular signaling kinase downstream of EGFR transactivation, was augmented by HB-EGF (3.2 ± 1.0-fold compared with Ad-GFP, n = 4, P < 0.05). Northern analysis showed that HB-EGF did not reduce Cx43 gene expression, suggesting that HB-EGF decreases Cx43 by posttranslational modification (Fig. 2B). AG 1478 (10 iLM), a specific inhibitor of EGFR tyrosine kinase, abolished the effect of HB-EGF on Cx43 (Fig. 2C), indicating that the decrease in Cx43 content depends on EGFR transactivation by HB-EGF. The conditioned medium from Ad-HB-EGF-infected cells did not change expression of Cx43 in naive cells, even though ERK1/2 was slightly activated by the conditioned medium (Fig. 1D). These data are consistent with the hypertrophy data presented above, demonstrating that HB-EGF can act as a predominantly autocrine factor both in hypertrophy and in the reduction of Cx43 content in cardiomyocytes.

Computational Analysis Predicts HB-EGF Autocrine/Paracrine Signaling in Vivo.

Although these in vitro experiments showed HB-EGF as a predominantly autocrine cardiac growth factor, HB-EGF signaling in vivo takes place in a very different environment. Therefore, we sought to determine the extent that soluble HB-EGF may travel in the interstitial space of the myocardium with a simple 2D model of HB-EGF diffusion (Fig. 3A). An approximate geometric representation of myocytes in cross-section is a square (15 x 15 iLm), with each of the corners occupied by a capillary (diameter 5 iLm). The cell shape was chosen so that the extracellular matrix width (0.5 iLm), in which soluble HB-EGF is free to diffuse, was constant around all tissue features. This model geometry is based on a square array of capillaries; although a hexagonal pattern of capillary distribution is commonly accepted, the results are not expected to be substantially different with this simpler construction, because both have four capillaries surrounding each myocyte. The model represents a single central cell that is releasing HB-EGF at a constant rate, Rgen, (approximated from the HB-EGF concentration measurement in conditioned medium) into the extracellular space. HB-EGF then can diffuse throughout this space, or enter a capillary and leave the system. This system is governed by
  • the diffusion equation at steady state (DV2C = 0),
  • the boundary condition for the ligand producing cell (—DVC = Rgen),
  • the boundary condition for all other cells (—DVC = 0), and
  • the capillary boundary condition (DVC = h(C — Cblood)).

C denotes HB-EGF concentration, D is the diffusivity constant, h is the mass transfer coefficient, and Cblood is the concentration of HB-EGF in the blood, approximated to be zero.  The numerical solution in Fig. 3B illustrates that HB-EGF remained localized around the cell which produced it and did not diffuse farther because of the sink-like effect of the capillaries. The maximum concentration of soluble HB-EGF achieved is 0.27 nM, which is near the threshold level of HB-EGF measured to stimulate cardiomyocyte growth (2,000 pg/ml). Therefore, the central HB-EGF-producing cell only signals to its four adjacent neighbors where the HB-EGF concentration reaches this threshold. However, if the model geometry is altered to reflect a 50% and 150% increase in cross-sectional area in all cells because of hypertrophy, estimated from 1 and 4 weeks of transverse aortic constriction, the maximum concentration achieved increases slightly to 0.29 nM and 0.37 nM, respectively. As the cell width increases, HB-EGF must diffuse farther to reach a capillary, exposing adjacent cells to a higher concentration during hypertrophy. However, no additional cells are exposed to HB-EGF. 

Fig. 3. Computational modeling of HB-EGF diffusion in the myocardium.

Red areas represent capillaries, green represents the HB-EGF ligand producing cell, pink represents adjacent cells, and white is an extracellular matrix where HB-EGF is free to diffuse. (A) The model geometry where HB-EGF is generated by the ligand-producing cell at a constant rate, Rgen, and diffuses throughout the extracellular space or enters a capillary and leaves the system with a mass transfer coefficient, h. (B) Numerical solution of the steady-state HB-EGF concentration profile with Rgen = 10 cell-1s-1, D = 0.7 µm2/s, and h = 0.02 µm/s, where concentration is shown by the color scale and height depicted. The maximum concentration achieved with the stated parameters was 0.27 nM from a capillary. Myocyte length was assumed to be 100 µm.

The driving force that determined the extent to which HB-EGF traveled was the rate of HB-EGF transfer into the capillaries and the diffusivity of HB-EGF. The exact mechanism of macromolecule transport into capillaries is unknown; however, it is most likely through diffusion, transcytosis, or a combination of the two. In the case of diffusion, the mass transfer coefficient governing the flux of HB-EGF through the capillary wall is coupled to the diffusivity of HB-EGF, whereas the terms are uncoupled for the case of transcytosis. Therefore, this model assessed transcytosis as a conservative scenario for HB-EGF localization. Parameter perturbation with uncoupled diffusion and capillary mass transfer showed that HB-EGF remained localized around the origin of production and diffused only to immediate neighbors for mass transfer coefficients >0.002 µm/s. For values <0.002 µm/s, HB-EGF diffused distances more than two cells away from the origin. Although the actual mass transfer coefficient of ligands in the size range of HB-EGF is unknown, values for O2 (0.02 µm/s, 0.032 kDa) (19) and LDL (1.7 x 10-5 µm/s, 2,000–3,000 kDa) (20) have been reported, and we assumed HB-EGF is in the upper end of that range due to its small size. HB-EGF also binds to EGFRs, the extracellular matrix, and cell surface heparan sulfate proteoglycans. EGFR binding and internalization could serve to further localize HB-EGF. The number of extracellular binding sites does not affect the steady-state HB-EGF concentration profile if this binding is reversible. However, these binding sites could serve to localize HB-EGF as the cell begins to produce the ligand by slowing the travel of HB-EGF to the capillaries in the approach to the steady state, or as a source of HB-EGF as the cell slows or stops HB-EGF production. At a diffusivity of 0.7 µm2/s (21), HB-EGF traveled only one cell away, but traveled approximately five cells away at 51.8 µm2/s (22), with a peak concentration below the estimated threshold for stimulating.

Overexpression of HB-EGF Causes Hypertrophy on the Infected Cell and Its Immediate Neighbor in Vivo.

To explore whether HB-EGF signals operate in a spatially restricted local circuit in the in vivo myocardial extracellular space as predicted by computational modeling, adenoviral vectors were injected directly into the left ventricular free wall in 26 male mice (Ad-GFP, n = 12; Ad-HB-EGF, n = 14). Of the 26 mice, 5 (4 Ad-GFP and 1 Ad-HB-EGF) mice died after the surgery. Gene expression was confirmed as positive cellular fluorescence in the presence of GFP, allowing determination of which cells were infected at 7 days (Fig. 4A). Immunohis-tochemical staining revealed that HB-EGF was localized on the Ad-HB-EGF-infected cell membrane or in the extracellular space around the overexpressing cell (Fig. 4A). For comparison, remote cells were defined as noninfected cells far (15–20 cell dimensions) from the adenovirus-infected area and in the same field as infected cells. Conventional 2D cross-sectional analysis blinded to treatment group (Fig. 4B) showed that Ad-GFP-infected cells (n = 102) resulted in no cellular hypertrophy compared with noninfected, adjacent (n = 92), or remote (n = 97) cells (2D myocyte cross-sectional area, 250 ± 7 versus 251 ± 7 or 255 ± 6 µm2, respectively). These data suggest that expression of GFP in these conditions does not cause cellular hypertrophy. However, overexpression of HB-EGF caused hypertrophy in both Ad-HB-EGF-infected cells (a 41 ± 5% increase of Ad-GFP-infected cells, n = 119, P < 0.01) and noninfected adjacent cells (a 33 ± 5% increase of Ad-GFP-adjacent cells, n = 97, P < 0.01) compared with remote cells (n = 109). Because 2D analysis of cardiomyocyte hypertrophy can be influenced by the plane of sectioning, we then developed a 3D histology approach that allowed reconstruction of cardiomyocytes in situ (Fig. 4C). We performed an independent 3D histology analysis of cardiomyocytes to determine cell volumes, blinded to treatment group (Fig. 4B). The volumes of both HB-EGF-infected cells (n = 19, 42,700 ± 4,000 µm3) and their adjacent cells (n = 11, 33,500 ± 3,300 µm3) were significantly greater than volumes of remote cells (n = 13, 18,600 ± 1,700 µm3, P < 0.01 vs. HB-EGF-infected cells and P < 0.05 vs. HB-EGF-adjacent cells, Fig. 4D). In contrast, cells treated with Ad-GFP (n = 12) showed no hypertrophy in the Ad-GFP-adjacent (n = 10) or remote cells (n = 9). These data demonstrate that HB-EGF acts as both an autocrine and local paracrine growth factor within myocardium, as predicted by computational modeling.

Degradation of Cx43 Through Local Autocrine/Paracrine HB-EGF

To determine whether the spatially confined effect of HB-EGF reduces local myocardial Cx43 in vivo, Cx43 was assessed with immunohistochemistry and confocal fluorescence imaging. Cells infected with Ad-HB-EGF had significant decreases in Cx43 immunoreactive signal compared with Ad-GFP cells, consistent with the results of in vitro immunoblotting (Fig. 5A). Quantitative digital image analyses of Cx43 in a total of 22 fields in 6 Ad-HB-EGF hearts and 19 fields in 4 Ad-GFP hearts were analyzed (Fig. 5B). Although Ad-GFP-infected cells showed immunoreactive Cx43 at the appositional membrane, overexpression of HB-EGF increased Cx43 in intracellular vesicle-like components (Fig. 5C), with reduced gap junction plaques (percent Cx43 area per cell area, 52 ± 8% of Ad-GFP control, P < 0.01). These data suggest that reduced expression of Cx43 can be attributed to an increased rate of internalization and degradation in gap junction plaques in cardiomyocytes. Interestingly, HB-EGF secretion by a given cardiomyocyte caused a 37 ± 13% reduction of Cx43 content in its adjacent cells compared with GFP controls (P < 0.05). As degradation of Cx43 may accompany structural changes with marked rearrangement of intercellular connections.  In contrast to Cx43, there was no significant difference in total area occupied by N-cadherin immunoreactive signal in between Ad-GFP (n = 19) and Ad-HB-EGF hearts (1.8 ± 0.5-fold compared with Ad-GFP, n = 17, P = not significant), indicating that HB-EGF has a selective effect on Cx43. Taken together, these data show that HB-EGF leads to cardiomyocyte hypertrophy and degradation of Cx43 in the infected cell and its immediately adjacent neighbors because of autocrine/ paracrine signaling. It should be noted, however, that quantifying the Cx43 from immunostaining could be limited by a nonlinear relation between the amount of Cx43 present and the area of staining.

Fig. 4. Effects of gene transfer of HB-EGF on cardiomyocyte hypertrophy in vivo.

(A) Adenoviral vectors (Ad-GFP or Ad-HB-EGF) were injected into the left ventricular free wall in mice. Myocytes were grouped as infected or noninfected on the basis of GFP fluorescence. Overex-pression of HB-EGF was confirmed by im-munohistochemistry. The presented image was pseudocolored with blue from that stained with Alexa Fluor 555 for the presence of HB-EGF. (Scale bars: 20 sm.) (B) 2D cross-sectional area of cardiomyo-cytes was measured in infected and non-infected cells in the same region of the same animal. Overexpression of HB-EGF caused cellular hypertrophy in both infected and adjacent cells. **, P < 0.01 vs. Ad-GFP infected; , P < 0.01 vs. Ad-HB-EGF remote; and §, P < 0.01 vs. Ad-GFP adjacent cells. GFP (infected 102 cells, adjacent 92 cells, and remote 97 cells from 5 mice), and HB-EGF (infected 119 cells, adjacent 97 cells, and remote 109 cells from 7 mice). The 3D histology also revealed cellular hypertrophy in both Ad-HB-EGF-infected cell and its adjacent cell. **, P < 0.01 vs. Ad-GFP infected; , P < 0.01; and *, P < 0.05 vs. Ad-HB-EGF remote cells. GFP (infected 12 cells, adjacent 10 cells, and remote 9 cells), and HB-EGF (infected 19 cells, adjacent 11 cells, and remote 13 cells). Statistical analysis was performed with one-way ANOVA. (C) Sample image of extracted myocytes in three dimensions.

Discussion

We have demonstrated in this study that HB-EGF secreted by cardiomyocytes leads to cellular growth and reduced expression of the principal ventricular gap junction protein Cx43 in a local autocrine/paracrine manner. Although proHB-EGF is biologically active as a juxtacrine growth factor that can signal to immediately neighboring cells in a nondiffusible mannerseveral studies have revealed the crucial role of metalloproteases in the enzymatic conversion of proHB-EGF to soluble HB-EGF, which binds to and activates the EGFR. Hypertrophic stimuli such as mechanical strain and G protein-coupled receptors agonists mediate cardiac hypertrophy through the shedding of membrane-bound proHB-EGF. Thus, an autocrine/paracrine loop, which requires the diffusible, soluble form of HB-EGF, is necessary for subsequent transactivation of the EGFR to produce the hypertrophic response.

To our knowledge, there have been no previous reports concerning the spatial extent of autocrine/paracrine ligand distribution and signaling in myocardial tissue. A theoretical analysis by Shvartsman et al. predicted, from computational modeling in an idealized cell culture environment, that autocrine ligands may remain highly localized, even within subcellular distances; this prediction has support from experimental data in the EGFR system. In contrast, a theoretical estimate by Francis and Palsson has suggested that cytokines might effectively communicate larger distances, approximated to be 200–300 m from the point of release. However, these studies have all focused on idealized cell culture systems, so our combined experimental and computational investigation here aimed at understanding both in vitro and in vivo situations offers insight.
Our computational model of diffusion in the extracellular space predicts that HB-EGF acts as both an autocrine and spatially restricted paracrine growth factor for neighboring cells. We studied the responses of the signaling cell and its immediate neighbors compared with more distant cells. For a paracrine signal to be delivered to its proper target, the secreted signaling molecules cannot diffuse too far; in vitro experiments, in fact, indicated that HB-EGF acts as a predominantly autocrine signal in cell culture, where diffusion into the medium is relatively unconstrained.
In contrast, in the extracellular space of the myocardium, HB-EGF is localized around the source of production because of tissue geometry, thereby acting in a local paracrine or autocrine manner only. Indeed, our results from in vivo gene transfer demonstrated that both the cell releasing soluble HB-EGF and its surrounding cells undergo hypertrophy. This localized conversation between neighboring cells may allow remodeling to be fine-tuned on a highly spatially restricted level within the myocardium and in other tissues.

Common genetic variation at the IL1RL1locus regulates IL-33/ST2 signaling

JE Ho, Wei-Yu Chen, Ming-Huei Chen, MG Larson, ElL McCabe, S Cheng, A Ghorbani, E Coglianese, V Emilsson, AD Johnson,….. CARDIoGRAM Consortium, CHARGE Inflammation Working Group, A Dehghan, C Lu, D Levy, C Newton-Cheh, CHARGE Heart Failure Working Group, …. JL Januzzi, RT Lee, and TJ Wang J Clin Invest Oct 2013; 123(10):4208-4218.  http://dx.doi.org/10.1172/JCI67119

Abstract and Introduction

The suppression of tumorigenicity 2/IL-33 (ST2/IL-33) pathway has been implicated in several immune and inflammatory diseases. ST2 is produced as 2 isoforms. The membrane-bound isoform (ST2L) induces an immune response when bound to its ligand, IL-33. The other isoform is a soluble protein (sST2) that is thought to be a decoy receptor for IL-33 signaling. Elevated sST2 levels in serum are associated with an increased risk for cardiovascular disease. We investigated the determinants of sST2 plasma concentrations in 2,991 Framing­ham Offspring Cohort participants. While clinical and environmental factors explained some variation in sST2 levels, much of the variation in sST2 production was driven by genetic factors. In a genome-wide associ­ation study (GWAS), multiple SNPs within IL1RL1 (the gene encoding ST2) demonstrated associations with sST2 concentrations. Five missense variants of IL1RL1 correlated with higher sST2 levels in the GWAS and mapped to the intracellular domain of ST2, which is absent in sST2. In a cell culture model, IL1RL1 missense variants increased sST2 expression by inducing IL-33 expression and enhancing IL-33 responsiveness (via ST2L). Our data suggest that genetic variation in IL1RL1 can result in increased levels of sST2 and alter immune and inflammatory signaling through the ST2/IL-33 pathway. Suppression of tumorigenicity 2 (ST2) is a member of the IL-1 receptor (IL-1R) family that plays a major role in immune and inflammatory responses. Alternative promoter activation and splicing produces both a membrane-bound protein (ST2L) and a soluble form (sST2). The transmembrane form of ST2 is selectively expressed on Th2- but not Th1-type T cells, and bind­ing of its ligand, IL-33, induces Th2 immune responses.  In contrast, the soluble form of ST2 acts as a decoy receptor by sequestering IL-33. The IL-33/ST2 pathway has important immunomodulatory effects. Clinically, the ST2/IL-33 signaling pathway participates in the pathophysiology of a number of inflammatory and immune diseases related to Th2 activation, including asthma, ulcera­tive colitis, and inflammatory arthritis. ST2 expression is also upregulated in cardiomyocytes in response to stress and appears to have cardioprotective effects in experimental studies. As a biomarker, circulating sST2 concentrations have been linked to worse prognosis in patients with heart failure, acute dyspnea, and acute coronary syndrome, and also predict mortality and incident cardiovascular events in individuals without existing cardiovascular disease. Both sST2 and its transmembrane form are encoded by IL-1R– like 1 (IL1RL1). Genetic variation in this pathway has been linked to a number of immune and inflammatory diseases. The contribution of IL1RL1 locus variants to interindividual variation in sST2 has not been investigated. The emergence of sST2 as an important predictor of cardiovascular risk and the important role outside of the ST2/IL-33 pathway in inflammatory diseases highlight the value of understanding genetic determinants of sST2. The fam­ily-based FHS cohort provides a unique opportunity to examine the heritability of sST2 and to identify specific variants involved using a genome-wide association study (GWAS). Thus, we per­formed a population-based study to examine genetic determinants of sST2 concentrations, coupled with experimental studies to elu­cidate the underlying molecular mechanisms.

Results

Clinical characteristics of the 2,991 FHS participants are presented in Supplemental Table 1 (supplemental material available online with this article; doi:10.1172/JCI67119DS1). The mean age of participants was 59 years, and 56% of participants were women. Soluble ST2 concentrations were higher in men compared with those in women (P < 0.001). Soluble ST2 concentrations were positively associated with age, systolic blood pressure, body-mass index, antihypertensive medication use, and diabetes mellitus (P < 0.05 for all). Together, these variables accounted for 14% of the variation in sST2 concentrations. The duration of hypertension or diabetes did not materially influence variation in sST2 concentra­tions. After additionally accounting for inflammatory conditions, clinical variables accounted for 14.8% of sST2 variation.

Heritability of sS72.

The age- and sex-adjusted heritability (h2) of sST2 was 0.45 (P = 5.3 x 10–16), suggesting that up to 45% of the vari­ation in sST2 not explained by clinical variables was attributable to genetic factors. Multivariable adjustment for clinical variables pre­viously shown to be associated with sST2 concentrations (21) did not attenuate the heritability estimate (adjusted h2 = 0.45, P = 8.2 x 10–16). To investigate the influence of shared environmental fac­tors, we examined the correlation of sST2 concentrations among 603 spousal pairs and found no significant correlation (r = 0.05, P = 0.25).

Genetic correlates of sS72.

We conducted a GWAS of circulating sST2 concentrations. Quantile-quantile, Manhattan, and regional linkage disequilibrium plots are shown in Supplemental Figures 1–3.  All genome-wide significant SNPs were located in a 400-kb linkage disequilibrium block that included IL1RL1 (the gene encoding ST2), IL1R1, IL1RL2, IL18R1, IL18RAP, and SLC9A4 (Figure 1). Results for 11 genome-wide significant “indepen­dent” SNPs, defined as pairwise r2 < 0.2, are shown in Table 1. In aggregate, these 11 “independent” genome-wide significant SNPs across the IL1RL1 locus accounted for 36% of heritability of sST2. In conditional analyses, 4 out of the 11 SNPs remained genome-wide significant, independent of each other (rs950880, rs13029918, rs1420103, and rs17639215), all within the IL1RL1 locus. The most significant SNP (rs950880, P = 7.1 x 10–94) accounted for 12% of the residual interindividual variability in circulating sST2 concentrations. Estimated mean sST2 concen­trations were 43% higher in major homozygotes (CC) compared with minor homozygotes (AA). Tree loci outside of the IL1RL1 locus had suggestive associations with sST2 (P < 1 x 10–6) and are displayed in Supplemental Table 3.

In silico association with expression SNPs.

The top 10 sST2 SNPs (among 11 listed in Table 1) were explored in collected gene expression databases. There were 5 genome-wide significant sST2 SNPs associated with gene expression across a variety of tissue types (Table 2). Specifically, rs13001325 was associated with IL1RL1 gene expression (the gene encoding both soluble and transmembrane ST2) in several subtypes of brain tissue (prefrontal cortex, P = 1.95 x 10–12; cerebellum, P = 1.54 x 10–5; visual cortex, P = 1.85 x 10–7). The CC genotype of rs13001325 was associated with a higher IL1RL1 gene expression level as well as a higher circulating sST2 concentration when compared with the TT genotype (Supplemental Figure 4). Other ST2 variants were significantly associated with IL18RAP (P = 8.50 x 10–41, blood) and IL18R1 gene expression (P = 2.99 x 10–12, prefrontal cortex).

In silico association with clinical phenotypes in published data

The G allele of rs1558648 was associated with lower sST2 concentra­tions in the FHS (0.88-fold change per G allele, P = 3.94 x 10–16) and higher all-cause mortality (hazard ratio [HR] 1.10 per G allele, 95% CI 1.03–1.16, P = 0.003) in the CHARGE consortium, which observed 8,444 deaths in 25,007 participants during an average fol­low-up of 10.6 years (22). The T allele of rs13019803 was associated with lower sST2 concentrations in the FHS (0.87-fold change per G allele, P = 5.95 x 10–20), higher mortality in the CHARGE consor­tium (HR 1.06 per C allele, 95% CI 1.01–1.12, P = 0.03), and higher risk of coronary artery disease (odds ratio 1.06, 95% CI 1.00–1.11, P = 0.035) in the CARDIoGRAM consortium, which included 22,233 individuals with coronary artery disease and 64,762 controls (23). In relating sST2 SNPs to other clinical phenotypes (including blood pressure, body-mass index, lipids, fasting glucose, natriuretic peptides, C-reactive protein, and echocardiographic traits) in pre­viously published studies, we found nominal associations with C-reactive protein for 2 SNPs (Supplemental Table 4).

Putative functional variants.

Using GeneCruiser, we examined nonsynonymous SNPs (nSNPs) (missense variants) that had at least suggestive association with sST2 (P < 1 x 10–4), includ­ing SNPs that served as proxies (r2 = 1.0) for nSNPs within the 1000 Genomes Pilot 1 data set (ref. 24 and Table 3). There were 6 missense variants located within the IL1RL1 gene, 5 of which had genome-wide significant associations with sST2 concen­trations, including rs6749114 (proxy for rs10192036, Q501K), rs4988956 (A433T), rs10204137 (Q501R), rs10192157 (T549I), rs10206753 (L551S), and rs1041973 (A78AE). Base substitutions and corresponding amino acid changes for these coding muta­tions are listed in Table 3. In combination, these 6 missense muta­tions accounted for 5% of estimated heritability, with an effect estimate of 0.23 (standard error [s.e.] 0.02, P = 2.4 x 10–20). When comparing major homozygotes with minor homozygotes, the esti­mated sST2 concentrations for these missense variants differed by 11% to 15% according to genotype (Supplemental Table 5). In conditional analyses, intracellular and extracellular variants appeared to be independently associated with sST2. For instance, in a model containing rs4988956 (A433T) and rs1041973 (A78E), both SNPs remained significantly associated with sST2 (P = 2.61 x 10–24 and P = 7.67 x 10–15, respectively). In total, missence variants added little to the proportion of sST2 variance explained by the 11 genome-wide significant nonmissense variants listed in Table 1. In relating these 6 missense variants to other clinical phenotypes in large consortia, we found an association with asthma for 4 out of the 6 variants (lowest P = 4.8 x 10–12 for rs10204137) (25).

Homology map of IL1RL1 missense variants and ST2 structure.

Of the 6 missense variants mapping to IL1RL1, 5 were within the cytoplas­mic Toll/IL-1R (TIR) domain of the transmembrane ST2 receptor (Figure 2A), and these intracellular variants are thus not part of the circulating sST2 protein. Of these cytoplasmic domain variants, A433T was located within the “box 2” region of sequence conserva­tion, described in the IL-1R1 TIR domain as important for IL-1 sig­naling . Q501R/K was within a conserved motif called “box 3,” but mutants of IL-1R1 in box 3 did not significantly affect IL-1 signaling in previous experiments (26). Both T549I and L551S were near the C terminus of the transmembrane ST2 receptor and were not predicted to alter signaling function based on previous exper­iments with the IL-1R . The A78E SNP was located within the extracellular domain of ST2 and is thus present in both the sST2 isoform and the transmembrane ST2 receptor. In models of the ST2/IL-33/IL-1RAcP complex derived from a crystal structure of the IL-1RII/IL-1β/IL-1RAcP complex (protein data bank ID 1T3G and 3O4O), A78E was predicted to be located on a surface loop within the first immunoglobulin-like domain (Figure 2B), distant from the putative IL-33 binding site or the site of interaction with IL-1RAcP. There were 2 rare extracellular variants that were not cap­tured in our GWAS due to low minor allele frequencies (A80E, MAF 0.008; A176T, MAF 0.002). Both were distant from the IL-33 bind­ing site on homology mapping and unlikely to affect IL-33 binding.

Functional effects of IL1RL1 missense variants on sST2 expression and promoter activity.

Since 5 of the IL1RL1 missense variants asso­ciated with sST2 levels mapped to the intracellular domain of ST2L and hence are not present on sST2 itself, we hypothesized that these missense variants exert effects via intracellular mecha­nisms downstream of ST2 transmembrane receptor signaling to regulate sST2 levels. To investigate the effect of IL1RL1 missense variants (identified by GWAS) on sST2 expression, stable cell lines expressing WT ST2L, IL1RL1 variants (A78E, A433T, T549I, Q501K, Q501R, and L551S), and a construct containing the 5 IL1RL1 intracellular domain variants (5-mut) were generated. Expression of ST2L mRNA and protein (detected in membrane fractions) was confirmed (Supplemental Figures 5 and 6). Eight different stable clones in each group were analyzed to reduce bias from clonal selection. Intracellular domain variants (A433T, T549I, Q501K, Q501R, L551S, and 5-mut), but not the extracellular domain variant (A78E), were associated with increased basal sST2 expression when compared with WT expression (P < 0.05 for all, Figure 3A). sST2 expression was highest in the 5-mut construct, suggesting that intracellular ST2L variants cooperatively regulate sST2 levels. This same pattern was consistent across different cell types (U937, Jurkat T, and A549 cells; Supplemental Figure 7). These findings suggest that intracellular domain variants of the transmembrane ST2 receptor may functionally regulate downstream signaling.   IL1RL1 transcription may occur via two alternative promoters (proximal vs. distal), which leads to differential expression of the soluble versus membrane-bound ST2 proteins. Similar to the sST2 protein expression results above, the intracellular domain variants, but not the extracellular domain variant, were associated with higher basal proximal promoter activity. Dis­tal promoter activity was also increased for most intracellular domain variants (Supplemental Figure 8).

IL1RL1 intracellular missense variants resulted in higher IL-33 pro­tein levels.

In addition to upregulation of sST2 protein levels, IL1RL1 intracellular missense variants caused increased basal IL-33 protein expression (Figure 3B), suggesting a possible autoregulatory loop whereby IL-33 signaling positively induces sST2 expression. IL-33 induced sST2 protein expression in cells expressing both WT and IL1RL1 missense variants. Interest­ingly, this effect was particularly pronounced in the A433T and Q501R variants (Supplemental Figure 9A).

Enhanced IL-33 responsiveness is mediated by IL-113 in A433T and Q501R variants.

Interaction among IL-33, sST2, and IL-113.

Inhibition of IL-113 by anti–IL-113 mAb reduced basal expression of sST2 (Supplemental Figure 11A). Blocking of IL-33 by sST2 did not reduce the induction of IL-113 levels by the IL1RL1 variants (Supplemental Figure 11B). Furthermore, inhibition of IL-113 by anti–IL-113 reduced the basal IL-33 levels. IL-33 itself upregulated sST2 levels, which in turn reduced IL-33 levels (Supplemental Figure 11C). Our results revealed that both IL-33 and IL-113 drive sST2 expression and that IL-113 acts as an upstream inducer of IL-33 and maintains IL-33 expression by intracellular IL1RL1 vari­ants (Supplemental Figure 11D). This suggests that IL1RL1 vari­ants upregulated sST2 mainly through IL-33 autoregulation and that the enhanced IL-33 responsiveness by A433T and Q501R was mediated by IL-113 upregulation.

IL1RL1 missense variants modulate ST2 signaling pathways

The effect of IL1RL1 missense variants on known ST2 downstream regulatory pathways, including NF-KB, AP-1/c-Jun, AKT, and STAT3 , was examined in the presence and absence of IL-33 (Figure 4 and Supplemental Figure 12). The IL1RL1 intracellular missense vari­ants (A433T, T549I, Q501K, Q501R, and L551S) were associated with higher basal phospho–NF-KB p65 and phospho–c-Jun levels (Figure 4, A and B). Consistent with enhanced IL-33 responsive­ness in A433T and Q501R cells, levels of IL-33–induced NF-KB and c-Jun phosphorylation were enhanced in these 2 variants (Figure 4, B and D). In contrast, A433T and Q501R variants showed lower basal phospho-AKT levels (Figure 4E). ……….. The majority of sST2 gene variants in our study were located within or near IL1RL1, the gene coding for both transmembrane ST2 and sST2. IL1RL1 resides within a linkage disequilibrium block of 400 kb on chromosome 2q12, a region that includes a number of other cytokines, including IL-18 receptor 1 (IL18R1) and IL-18 receptor accessory protein (IL18RAP). Polymorphisms in this gene cluster have been associated previously with a num­ber of immune and inflammatory conditions, including asthma, celiac disease, and type 1 diabetes mellitus . Many of these variants were associated with sST2 concentrations in our analysis (Supplemental Table 6). The immune effects of ST2 are corroborated by experimental evidence: membrane-bound ST2 is selectively expressed on Th2- but not Th1-type T helper cells, and activation of the ST2/IL-33 axis elaborates Th2 responses. In general, the allergic phenotypes above are thought to be Th2-mediated processes, in contrast to atherosclerosis, which appears to be a Th1-driven process.

Fig 2  Models of ST2 illustrate IL1RL1 missense variant locations.

Figure 2 Models of ST2 illustrate IL1RL1 missense variant locations.

Models of the (A) intracellular TIR domain (ST2-TIR) and the (B) extracellular domain (ST2-ECD) of ST2 (protein data bank codes 3O4O and 1T3G, respectively). Domains of ST2 are shown in yellow, with identified mis-sense SNP positions represented as red spheres and labels. Note that positions 549 and 551 are near the C terminus of ST2, which is not defined in the crystal structure (protein data bank ID 1T3G, shown as dashed black line in A). Arrows point toward the transmembrane domain, which is also not observed in crystal structures.

Fig 3 IL1RL1 intracellular missense variants resulted in higher sST2 and IL-33.

Figure 3   IL1RL1 intracellular missense variants resulted in higher sST2 and IL-33.

Media from KU812 cells expressing WT and IL1RL1 missense variants were collected for ELISA analysis of (A) sST2, (B) IL-33, and (C) IL-113 levels. Horizontal bars indicate mean values, and symbols represent indi­vidual variants. *P < 0.05, **P < 0.01 vs. WT. (D) Effect of anti–IL-113 mAb on IL-33–induced sST2 expression. Dashed line indicates PBS-treated cells as referent group. Error bars represent mean ± SEM from 2 independent experiments. *P < 0.05 vs. IL-33.

Fig 4  IL1RL1 missense variants modulated ST2 signaling pathways

Figure 4  IL1RL1 missense variants modulated ST2 signaling pathways. 

KU812 cells expressing WT or IL1RL1 variants were treated with PBS or IL-33. Levels of the following phosphorylated proteins were detected in cell lysates using ELISA: (A and B) phospho-NF-KB p65; (C and D) phospho-c-Jun activity; and (E and F) phospho-AKT. (A, C, and E) White bars represent basal levels, and (B, D, and F) gray bars represent relative fold increase (compared with PBS-treated group) after IL-33 treatment. *P < 0.05 vs. WT; **P < 0.01 vs. PBS-treated group. Dashed line in B, D, and F represents PBS-treated cells as referent group. Error bars represent mean ± SEM from 2 independent experiments. Fig 5   IL-33–induced sST2 expression is enhanced with mTOR inhibition and occurs via ST2L-dependent signaling.

Figure 5  IL-33–induced sST2 expression is enhanced with mTOR inhibition and occurs via ST2L-dependent signaling.

(A) sST2 mRNA expression in KU812 cells after treatment with DMSO, IL-33, or IL-33 plus signal inhibitors (wortmannin, LY294002, rapamycin, PD98059, SP60125, BAY11-7082, or SR11302). (B) ST2L mRNA and (C) sST2 mRNA expression in KU812 cells treated with PBS (white columns), rapamycin (rapa), anti-ST2 mAb, IL-33, IL-33 plus anti-ST2, IL-33 plus rapamycin, IL-33 plus rapamycin plus anti-ST2 mAb, or rapamycin plus anti-ST2. (D) IL33 mRNA expression in KU812 cells after treatment with DMSO, signal inhibitors, IL-33 plus signal inhibitors, and IL-1n plus signal inhibitors. *P < 0.05 vs. PBS-treated group; #P < 0.05 vs. IL-33–treated group; &P < 0.05 vs. IL-1n–treated group. Error bars represent mean ± SEM from 2 independent experiments. (E) A schematic model illustrating the regulation of sST2 expression by IL1RL1 missense variants through enhanced induction of IL-33 via enhanced NF-KB and AP-1 signaling and enhanced IL-33 responsiveness via increasing ST2L expression.

Quantitating subcellular metabolism with multi-isotope imaging mass spectrometry

ML Steinhauser, A Bailey, SE Senyo, C Guillermier, TS Perlstein, AP Gould, RT Lee, and CP Lechene
Department of Medicine, Divisions of Cardiovascular Medicine & Genetics, Brigham and Women’s Hospital, Harvard Medical School & Harvard Stem Cell Institute Division of Physiology and Metabolism, Medical Research Council National Institute for Medical Research, Mill Hill, London, UK National Resource for Imaging Mass Spectroscopy
Nature 2012;481(7382): 516–519.   http://dx. do.org/10.1038/nature10734

Mass spectrometry with stable isotope labels has been seminal in discovering the dynamic state of living matter, but is limited to bulk tissues or cells. We developed multi-isotope imaging mass spectrometry (MIMS) that allowed us to view and measure stable isotope incorporation with sub-micron resolution. Here we apply MIMS to diverse organisms, including Drosophila, mice, and humans. We test the “immortal strand hypothesis,” which predicts that during asymmetric stem cell division chromosomes containing older template DNA are segregated to the daughter destined to remain a stem cell, thus insuring lifetime genetic stability. After labeling mice with 15N-thymidine from gestation through post-natal week 8, we find no 15N label retention by dividing small intestinal crypt cells after 4wk chase. In adult mice administered 15N-thymidine pulse-chase, we find that proliferating crypt cells dilute label consistent with random strand segregation. We demonstrate the broad utility of MIMS with proof-of-principle studies of lipid turnover in Drosophila and translation to the human hematopoietic system. These studies show that MIMS provides high-resolution quantitation of stable isotope labels that cannot be obtained using other techniques and that is broadly applicable to biological and medical research. MIMS combines ion microscopy with secondary ion mass spectrometry (SIMS), stable isotope reporters, and intensive computation (Supplemental Fig 1). MIMS allows imaging and measuring stable isotope labels in cell domains smaller than one micron cubed. We tested the potential of MIMS to quantitatively track DNA labeling with 15N-thymidine in vitro. In proliferating fibroblasts, we detected label incorporation within the nucleus by an increase in the 15N/14N ratio above natural ratio (Fig 1a). The labeling pattern resembled chromatin with either stable isotope-tagged thymidine or thymidine analogs (Fig 1b). We measured dose-dependent incorporation of 15N-thymidine over three orders of magnitude (Fig 1d, Supplemental Fig 2). We also tracked fibroblast division after a 24-hour label-free chase (Fig 1d,e, Supplemental Fig 3). Cells segregated into two populations, one indistinguishable from control cells suggesting no division, the other with halving of label, consistent with one division during chase. We found similar results by tracking cell division in vivo in the small intestine (Fig 1f,g, Supplemental Figs 4–6). We measured dose-dependent 15N-thymidine incorporation within nuclei of actively dividing crypt cells (Fig 1g, Supplemental Fig 4), down to a dose of 0.1µg/ g (Supplemental Fig 2). The cytoplasm was slightly above natural ratio, likely due to low level soluble 15N-thymidine or mitochondrial incorporation (Supplemental Fig 2). We measured halving of label with each division during label-free chase (Supplemental Fig 6). We then tested the “immortal strand hypothesis,” a concept that emerged from autoradiographic studies and that predicted long-term label retaining cells in the small intestinal crypt. It proposes that asymmetrically dividing stem cells also asymmetrically segregate DNA, such that older template strands are retained by daughter cells that will remain stem cells and newer strands are passed to daughters committed to differentiation (Supplemental Fig 7)5,6. Modern studies continue to argue both for or against the hypothesis, leading to the suggestion that definitive resolution of the debate will require a new experimental approach. Although prior evidence suggests a concentration of label-retaining cells in the +4 anatomic position, we searched for DNA label retention irrespective of anatomic position or molecular identity. We labeled mice with 15N-thymidine for the first 8 wks of life when intestinal stem cells are proposed to form. After a 4-wk chase, mice received bromodeoxyuridine (BrdU) for 24h prior to sacrifice to identify proliferating cells(Fig 2a, Supplemental Fig 8: Exp 1), specifically crypt base columnar (CBC) cells and transit amplifying cells (TA) (Supplemental Fig 9), which cycle at a rate of one and two times per 24h, respectively (Supplemental Fig 10). All crypt cell nuclei were highly labeled upon completion of 15N-thymidine; after a four-week chase, however, we found no label retention by non-Paneth crypt cells (Fig 2b–f; n=3 mice, 136 crypts analysed). 15N-labeling in BrdU/15N+ Paneth and mesenchymal cells was equivalent to that measured at pulse completion (Fig2b,c) suggesting quiescence during the chase (values above 15N/14N natural ratio: Paneth pulse=107.8 +/− 5.0% s.e.m. n=51 vs Paneth pulse-chase=96.3+/−2.8% s.e.m. n=218; mesenchymal pulse=92.0+/−5.0% s.e.m. n=89 vs mesenchymal pulse-chase=90.5+/ −2.2% s.e.m. n=543). The number of randomly selected crypt sections was sufficient to detect a frequency as low as one label-retaining stem cell per crypt irrespective of anatomic location within the crypt. Because each anatomic level contains approximately 16 circumferentially arrayed cells, a 2-dimensional analysis captures approximately 1/8th of the cells at each anatomic position (one on each side of the crypt; Supplemental Fig 9a). Therefore, assuming only 1 label-retaining stem cell per crypt we should have found 17 label-retaining cells in the 136 sampled crypts (1/8th of 136); we found 0 (binomial test p<0.0001). The significance of this result held after lowering the expected frequency of label-retaining cells by 25% to account for the development of new crypts, a process thought to continue into adulthood. In three additional experiments, using shorter labeling periods and including in utero development, we also found no label-retaining cells in the crypt other than Paneth cells (Supplemental Fig 8, Exps 2–4).

Fig 1 post-natal human DNA synthesis in the heart

In recent years, several protocols have been developed experimentally in an attempt to identify novel therapeutic interventions aiming at the reduction of infarct size and prevention of short and long term negative ventricular remodeling following ischemic myocardial injury. Three main strategies have been employed and a significant amount of work is being conducted to determine the most effective form of action for acute ischemic heart failure. The delivery of bone marrow progenitor cells (BMCs) has been highly controversial, but recent clinical data have shown improvement in ventricular performance and clinical outcome. These observations have not changed the nature of the debate concerning the efficacy of this cell category for the human disease and the mechanisms involved in the impact of BMCs on cardiac structure and function. Whether BMCs transdifferentiate and acquire the cardiomyocyte lineage has faced strong opposition and data in favor and against this possibility have been reported. However, this is the only cell class which has been introduced in the treatment of heart failure in patients and large clinical trials are in progress.
Human embryonic stem cells (ESCs) have repeatedly been utilized in animal models to restore the acutely infarcted myocardium, but limited cell engraftment, modest ability to generate vascular structures, teratoma formation and the apparent transient beneficial effects on cardiac hemodynamics have questioned the current feasibility of this approach clinically. Tremendous efforts are being performed to reduce the malignant tumorigenic potential of ESCs and promote their differentiation into cardiomyocytes with the expectation that these extremely powerful cells may be applied to human beings in the future. Additionally, the study of ESCs may provide unique understanding of the mechanisms of embryonic development that may lead to therapeutic interventions in utero and the correction of congenital malformations.
The recognition that a pool of primitive cells with the characteristics of stem cells resides in the myocardium and that these cells form myocytes, ECs and SMCs has provided a different perspective of the biology of the heart and mechanisms of cardiac homeostasis and tissue repair. Regeneration implies that dead cells are replaced by newly formed cells restoring the original structure of the organ. In adulthood, this process occurs during physiological cell turnover, in the absence of injury. However, myocardial damage interferes with recapitulation of cell turnover and restitutio ad integrum of the organ. Because of the inability of the adult heart to regenerate itself after infarction, previous studies have promoted tissue repair by injecting exogenously expanded CPCs in proximity of the necrotic myocardium or by activating resident CPCs through the delivery of growth factors known to induce cell migration and differentiation. These strategies have attenuated ventricular dilation and the impairment in cardiac function and in some cases have decreased animal mortality.

Although various subsets of CPCs have been used to reconstitute the infarcted myocardium and different degrees of muscle mass regeneration have been obtained, in all cases the newly formed cardiomyocytes possessed fetal-neonatal characteristics and failed to acquire the adult cell phenotype. In the current study, to enhance myocyte growth and differentiation, we have introduced cell therapy together with the delivery of self-assembly peptide nanofibers to provide a specific and prolonged local myocardial release of IGF-1. IGF-1 increases CPC growth and survival in vitro and in vivo and this effect resulted here in a major increase in the formation of cardiomyocytes and coronary vessels, decreasing infarct size and restoring partly cardiac performance. This therapeutic approach was superior to the administration of CPCs or NF-IGF-1 only. Combination therapy appeared to be additive; it promoted myocardial regeneration through the activation and differentiation of resident and exogenously delivered CPCs. Additionally, the strategy implemented here may be superior to the utilization of BMCs for cardiac repair. CPCs are destined to form myocytes, and vascular SMCs and ECs and, in contrast to BMCs, do not have to transdifferentiate to acquire cardiac cell lineages. Transdifferentiation involves chromatin reorganization with activation and silencing of transcription factors and epigenetic modifications.

Selected References

  1. Hsieh PC, Davis ME, Gannon J, MacGillivray C, Lee RT. Controlled delivery of PDGF-BB for myocardial protection using injectable self-assembling peptide nanofibers. J Clin Invest 2006;116:237–248. [PubMed: 16357943]
  2. Davis ME, Hsieh PC, Takahashi T, Song Q, Zhang S, Kamm RD, Grodzinsky AJ, Anversa P, Lee RT. Local myocardial insulin-like growth factor 1 (IGF-1) delivery with biotinylated peptide nanofibers improves cell therapy for myocardial infarction. Proc Natl Acad Sci USA 2006;103:8155–8160. [PubMed: 16698918]
  3. Beltrami AP, Barlucchi L, Torella D, Baker M, Limana F, Chimenti S, Kasahara H, Rota M, Musso E, Urbanek K, Leri A, Kajstura J, Nadal-Ginard B, Anversa P. Adult cardiac stem cells are multipotent and support myocardial regeneration. Cell 2003;114:763–776. [PubMed: 14505575]
  4. Rota M, Padin-Iruegas ME, Misao Y, De Angelis A, Maestroni S, Ferreira-Martins J, Fiumana E, Rastaldo R, Arcarese ML, Mitchell TS, Boni A, Bolli R, Urbanek K, Hosoda T, Anversa P, Leri A, Kajstura J. Local activation or implantation of cardiac progenitor cells rescues scarred infarcted myocardium improving cardiac function. Circ Res 2008;103:107–116. [PubMed: 18556576]

Cardiac anatomy.

Figure 2.  Cardiac anatomy.

(A and B) Cardiac weights and infarct size. R and L correspond, respectively, to the number of myocytes remaining and lost after infarction. (C–G) LV dimensions. Sham-operated: SO. *Indicates P<0.05 vs SO; **vs untreated infarcts (UN); †vs infarcts treated with CPCs; ‡vs infarcts treated with NF-IGF-1.

Ventricular function

Figure 3.  Ventricular function.

Combination therapy (CPC-NF-IGF-1) attenuated the most the negative impact of myocardial infarction on cardiac performance. See Figure 2 for symbols.

Endothelial Cells Promote Cardiac Myocyte Survival and Spatial Reorganization: Implications for Cardiac Regeneration

Daria A. Narmoneva, Rada Vukmirovic, Michael E. Davis, Roger D. Kamm,  and Richard T. Lee
Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, and the Division of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA
Circulation. 2004 August 24; 110(8): 962–968.        http://dx.doi.org/10.1161/01.CIR.0000140667.37070.07

Background

Endothelial-cardiac myocyte (CM) interactions play a key role in regulating cardiac function, but the role of these interactions in CM survival is unknown. This study tested the hypothesis that endothelial cells (ECs) promote CM survival and enhance spatial organization in a 3-dimensional configuration.

Methods and Results

Microvascular ECs and neonatal CMs were seeded on peptide hydrogels in 1 of 3 experimental configurations:

  1. CMs alone,
  2. CMs mixed with ECs (coculture), or
  3. CMs seeded on preformed EC networks (prevascularized).

Capillary-like networks formed by ECs promoted marked CM reorganization along the EC structures, in contrast to limited organization of CMs cultured alone. The presence of ECs markedly inhibited CM apoptosis and necrosis at all time points. In addition, CMs on preformed EC networks resulted in significantly less CM apoptosis and necrosis compared with simultaneous EC-CM seeding (P<0.01, ANOVA). Furthermore, ECs promoted synchronized contraction of CMs as well as connexin 43 expression.

Conclusions

These results provide direct evidence for a novel role of endothelium in survival and organization of nearby CMs. Successful strategies for cardiac regeneration may therefore depend on establishing functional CM-endothelium interactions.

Keywords:  endothelium; cardiomyopathy; heart failure; tissue

Introduction

Recent studies suggest that the mammalian heart possesses some ability to regenerate itself through several potential mechanisms, including generation of new cardiomyocytes (CMs) from extracardiac progenitors, CM proliferation, or fusion with stem cells with subsequent hybrid cell division. These mechanisms are insufficient to regenerate adequate heart tissue in humans, although some vertebrates can regenerate large volumes of injured myocardium.
Several approaches in cell transplantation and cardiac tissue engineering have been investigated as potential treatments to enhance cardiac function after myocardial injury. Implantation of skeletal muscle cells, bone marrow cells, embryonic stem cell-derived CMs, and myoblasts can enhance cardiac function. Cell-seeded grafts have been used instead of isolated cells for in vitro cardiac tissue growth or in vivo transplantation. These grafts can develop a high degree of myocyte spatial organization, differentiation, and spontaneous and coordinated contractions. On implantation in vivo, cardiac grafts can integrate into the host tissue and neovascularization can develop. However, the presence of scar tissue and the death of cells in the graft can limit the amount of new myocardium formed, most likely due to ischemia. Therefore, creating a favorable environment to promote survival of transplanted cells and differentiation of progenitor cells remains one of the most important steps in regeneration of heart tissue.
One of the key factors for myocardial regeneration is revascularization of damaged tissue. In the normal heart, there is a capillary next to almost every CM, and endothelial cells (ECs) outnumber cardiomyocytes by ≈3:1. Developmental biology experiments reveal that myocardial cell maturation and function depend on the presence of endocardial endothelium at an early stage. Experiments with inactivation or overexpression of vascular endothelial growth factor (VEGF) demonstrated that at later stages, either an excess or a deficit in blood vessel formation results in lethality due to cardiac dysfunction. Both endocardium and myocardial capillaries have been shown to modulate cardiac performance, rhythmicity, and growth. In addition, a recent study showed the critical importance of CM-derived VEGF in paracrine regulation of cardiac morphogenesis. These findings and others highlight the significance of interactions between CMs and endothelium for normal cardiac function. However, little is known about the specific mechanisms for these interactions, as well as the role of a complex, 3-dimensional organization of myocytes, ECs, and fibroblasts in the maintenance of healthy cardiac muscle.
The critical relation of CMs and the microvasculature suggests that successful cardiac regeneration will require a strategy that promotes survival of both ECs and CMs. The present study explored the hypothesis that ECs (both as preexisting capillary-like structures and mixed with myocytes at the time of seeding) promote myocyte survival and enhance spatial reorganization in a 3-dimensional configuration. The results demonstrate that CM interactions with ECs markedly decrease myocyte death and show that endothelium may be important not only for the delivery of blood and oxygen but also for the formation and maintenance of myocardial structure.

Methods

  • Three-Dimensional Culture
  • Immunohistochemistry and Cell Death Assays
  • Evaluation of Contractile Areas

Results

  • EC-CM Interactions Affect Myocyte Reorganization
  • ECs Improve Survival of CMs
  • Preformed Endothelial Networks Promote Coordinated, Spontaneous Contractions
  • ECs Promote Cx43 Expression

EC-CM Interactions Affect Myocyte Reorganization

To explore interactions between CMs and ECs in 3-dimensional culture, we used peptide hydrogels, a tissue engineering scaffold. Cells seeded on the surface of the hydrogel attach and then migrate into the hydrogel. When CMs alone were used, cells attached on day 1 and then formed small clusters of cells at days 3 and 7 (Figure 1). In contrast, when CMs were seeded together with ECs, cells formed interconnected linear networks, as commonly seen with ECs in 3-dimensional culture environments, with increasing spatial organization from day 1 to day 7 (Figure 1).

Figure 1.  ECs promote CM reorganization. 

When CMs were cultured alone (left column), they aggregated into sparse clusters. When CMs were cultured with ECs (center), cells organized into capillary-like networks. There was no difference in morphological appearance between coculture or prevascularized cultures (not shown) and ECs alone (right column). Bar=100 μm. Abbreviations are as defined in text.

To establish whether preformed endothelial networks enhanced the organization of myocytes, we also seeded ECs 1 day before myocytes were added. These ECs formed similar interconnected networks in the absence of myocytes; preforming the vascular network did not lead to significant differences in morphology (data not shown). Furthermore, to exclude the possibility that the increasing cell density of added ECs caused the spatial organization, we also performed control experiments with varying numbers and combinations of cells; there was no effect of doubling or halving cell numbers, indicating that the spatial organization effect was specifically due to ECs. To establish that both myocytes and ECs were forming networks together, we performed immunofluorescence studies with specific antibodies, as well as analysis of cross sections of CM-EC cocultures, whereby cells were labeled with CellTracker dyes before seeding. Immunofluorescent staining demonstrated that >95% of CMs were present within these networks, suggesting that CMs preferentially migrate to or survive better near ECs (Figure 2).

Figure 2.  CMs appear on outside of endothelial networks.

CMs appear on outside of endothelial networks. High-magnification, double-immunofluorescence image of structures formed in EC-CM coculture at day 7 demonstrating CMs (sarcomeric actinin, red) spread on top of ECs (von Willebrand factor, green) with no myocytes present outside structure. Bar=100 μm. Abbreviations are as defined in text.

The analysis of cross sections demonstrated the presence of what appeared to be EC-derived, tubelike structures (Figure 3), with myocytes spread on the outer part of the capillary wall. Along with the capillary-like structures, clusters of intermingled cells (both myocytes and ECs) not containing the lumen were also observed (not shown). However, when the lumen was present, ECs were always on the inner side and myocytes on the outer side of the structure.

Figure 3.  ECs form tubelike structures with myocytes spreading on outer wall.

Cross section of paraffin-embedded sample of 3-day coculture of myocytes (red) and ECs (green) incubated in CellTracker dye before seeding on hydrogel. Bar=50 μm. Abbreviations are as defined in text.

In CM-fibroblast cocultures, cells rapidly (within 24 hours) formed large clusters consisting of cells of both types (not shown). At later time points, fibroblast proliferation resulted in their migration outside the clusters and spreading on the hydrogel without any pattern. However, in contrast to EC-CM cocultures, CMs remained in the clusters and demonstrated only limited spreading. Immunofluorescent staining revealed that there was no orientation of myocytes relative to the fibroblasts in the clusters. In cultures with EC-conditioned medium, myocyte morphology and spatial organization remained similar to those of myocyte controls.

ECs Improve Survival of CMs

To test the hypothesis that ECs promote CM survival, we assessed apoptosis and necrosis in the 3-dimensional cultures. Quantitative analyses of CMs positive for TUNEL and necrosis staining demonstrated significantly decreased myocyte apoptosis and necrosis when cultured with ECs, compared with CM-only cultures (Figure 4, P<0.01). This effect was observed at all 3 time points, although the decreased necrosis was most pronounced at day 1. In addition, CMs seeded on the preformed EC networks had a lower rate of apoptosis at day 1 relative to same-time seeding cultures (P<0.05, post hoc test), suggesting that early EC-CM interactions provided by the presence of well-attached and prearranged ECs may further promote CM survival. In contrast to the ECs, cardiac fibroblasts did not affect myocyte survival (P>0.05, Figure 4), with ratios for myocyte apoptosis and necrosis in the myocyte-fibroblast cocultures being similar to those for myocyte-only controls. However, addition of EC-conditioned medium resulted in a significant decrease in apoptosis and necrosis ratios of myocytes (P<0.01). Interestingly, the effect of conditioned medium on myocyte necrosis was similar in magnitude to the effect of ECs, whereas myocyte apoptosis ratios in the conditioned-medium group were only partially decreased compared with those in the presence of ECs. These results suggest that the prosurvival effect of ECs on CMs may not only be merely due to the local interactions between myocytes and ECs during myocyte attachment but may also involve direct signaling between myocytes and ECs.

Figure 4.  ECs prolong survival of CMs

Top, dual immunostaining of CMs and EC-myocyte prevascularized groups at day 3 in culture, with TUNEL-positive cells in red; green indicates sarcomeric actinin; blue, DAPI. Bottom, presence of ECs decreased CM apoptosis and necrosis, both in coculture conditions and when cultures were prevascularized by seeding with ECs 1 day before CMs (mean±SD, P<0.01). EC-conditioned medium decreased myocyte apoptosis and necrosis (P<0.01), whereas fibroblasts did not have any effect (P>0.05). *Different from myocytes alone; **different from EC-myocyte coculture and pre-vascularized. Bar=100 μm. Abbreviations are as defined in text.

Preformed Endothelial Networks Promote Coordinated, Spontaneous Contractions

In the prevascularized group with preformed vascular structures, synchronized, spontaneous contractions of large areas (Figure 5, top panels) were detected as early as days 2 to 3after seeding, in contrast to the coculture group, wherein such contractions were observed on days 6 to 7. In CM-only cultures, beating of separate cells and small cell clusters was also detected at days 2 to 3, similar to that in the prevascularized group. However, the average area of synchronized beating at day 3 in the myocyte-only group (3.5±0.5×102 μm2) was nearly 3 orders of magnitude smaller than the synchronously contracting area in the prevascularized group (4.3±2.5×105 μm2, mean±SD, n=5). These data suggest that ECs promote synchronized CM contraction, particularly when vascular networks are already formed.

Figure 5.  ECs promote large-scale, synchronized contraction of CMs.

Left, phase-contrast video of beating areas in CM-only and prevascularized groups (day 3). Right, motion analysis of video showing regions of synchronized contractions (connected areas in purple are contracting synchronously) and nonmoving areas in blue. Bars=100 μm. Abbreviations are as defined in text.

ECs Promote Cx43 Expression

Staining for Cx43 showed striking differences in the distribution pattern of this gap junction protein between EC-CM cocultures and CMs cultured alone. In myocyte-only cultures, Cx43 expression was barely detectable at day 1 (not shown); at days 3 and 7, Cx43 expression was sparse throughout the cell clusters (Figure 6). In the presence of ECs (in both coculture and prevascularized groups), Cx43 staining was evident at day 1, both between ECs and distributed among CMs. As early as day 3 in culture, patches of localized junction-like Cx43, in addition to diffuse staining, were observed for myocytes in the coculture group (Figure 6). In the prevascularized group at day 3, wherein spontaneous contractions were already observed, more junction-like patches of Cx43 were observed compared with the coculture group, indicating electrical connections between myocytes (Figure 6). In addition to junctions between myocytes, there was also evidence of Cx43 localized at the interface between ECs and myocytes (Figure 6) detected in both the coculture group (at day 7) and the preculture group (as early as day 3). When myocytes and myocyte-EC coculture groups were cultured for 3 days with or without addition of 100 ng/mL of neutralizing anti-mouse VEGF antibody (R&D Systems), we observed no differences in either apoptosis or Cx43 staining between VEGF antibody-containing cultures and controls.

Figure 6. ECs promote Cx43 expression

Cultures at 3 days immunostained for Cx43 (red) and anti-sarcomeric actinin (green); nuclei are stained with DAPI (blue). For CMs alone (left), Cx43 staining is diffuse and sparse, with no evidence of gap junctions; for coculture (center), both diffuse (yellow arrow) and patchlike (thin, white arrow) Cx43 staining is observed; for prevascularized (right), increased patchlike staining indicates presence of gap junctions. Thick arrow-heads indicate junctions between myocytes and ECs. Bar=50 μm. Abbreviations are as defined in text.

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Endothelial-Cardiomyocyte Interactions in Cardiac Development and Repair: Implications for Cardiac Regeneration

Patrick C.H. Hsieh, Michael E. Davis, Laura K. Lisowski, and Richard T. Lee

Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
Annu Rev Physiol.    PMC 2009 September 30

The ongoing molecular conversation between endothelial cells and cardiomyocytes is highly relevant to the recent excitement in promoting cardiac regeneration. The ultimate goal of myocardial regeneration is to rebuild a functional tissue that closely resembles mature myocardium, not just to improve systolic function transiently. Thus, regenerating myocardium will require rebuilding the vascular network along with the cardiomyocyte architecture. Here we review evidence demonstrating crucial molecular interactions between endothelial cells and cardiomyocytes. We first discuss endothelial-cardiomyocyte interactions during embryonic cardiogenesis, followed with morphological and functional characteristics of endothelial-cardiomyocyte interactions in mature myocardium. Finally, we consider strategies exploiting endothelial-cardiomyocyte interplay for cardiac regeneration.

Signaling from Cardiomyocytes to Endothelial Cells

The examples of neuregulin-1, NF1, and PDGF-B demonstrate that signals from endothelial cells regulate the formation of primary myocardium. Similarly, signaling from myocardial cells to endothelial cells is also required for cardiac development. Two examples of myocardial-to-endothelial signaling are vascular endothelial growth factor (VEGF)-A and angiopoietin-1.

VASCULAR ENDOTHELIAL GROWTH FACTOR-A

VEGF-A is a key regulator of angiogenesis during embryogenesis. In mice, a mutation in VEGF-A causes endocardial detachment from an underdeveloped myocardium. A mutation in VEGF receptor-2 (or Flk-1) also results in failure of the endocardium and myocardium to develop (18). Furthermore, cardiomyocyte-specific deletion of VEGF-A results in defects in vasculogenesis/angiogenesis and a thinned ventricular wall, further confirming reciprocal signaling from the myocardial cell to the endothelial cell during cardiac development. Interestingly, this cardiomyocyte-selective VEGF-A-deletion mouse has underdeveloped myocardial microvasculature but preserved coronary artery structure, implying a different signaling mechanism for vasculogenesis/angiogenesis in the myocardium and in the epicardial coronary arteries.
Cardiomyocyte-derived VEGF-A also inhibits cardiac endocardial-to-mesenchymal transformation. This process is essential in the formation of the cardiac cushions and requires delicate control of VEGF-A concentration. A minimal amount of VEGF initiates endocardial-to-mesenchymal transformation, whereas higher doses of VEGF-A terminate this transformation. Interestingly, this cardiomyocyte-derived VEGF-A signaling for endocardial-to-mesenchymal transformation may be controlled by an endothelial-derived feedback mechanism through the calcineurin/NFAT pathway (24), demonstrating the importance of endothelial-cardiomyocyte interactions for cardiac morphogenesis.

ANGIOPOIETIN-1

Another mechanism of cardiomyocyte control of endothelial cells during cardiac development is the angiopoietin-Tie-2 system. Both angiopoietin-1 and angiopoietin-2 may bind to Tie-2 receptors in a competitive manner, but with opposite effects: Angiopoietin-1 activates the Tie-2 receptor and prevents vascular edema, whereas angiopoietin-2 blocks Tie-2 phosphorylation and increases vascular permeability. During angiogenesis/vasculogenesis, angiopoietin-1 is produced primarily by pericytes, and Tie-2 receptors are expressed on endothelial cells. Angiopoietin-1 regulates the stabilization and maturation of neovasculature; genetic deletion of angiopoietin-1 or Tie-2 causes a defect in early vasculogenesis/angiogenesis and is lethal.
Cardiac endocardium is one of the earliest vascular components (along with the dorsal aorta and yolk sac vessels) and the adult heart can be regarded as a fully vascularized organ, angiopoietin-Tie-2 signaling may also be required for early cardiac development. Indeed, mice with mutations in Tie-2 have underdeveloped endocardium and myocardium. These Tie-2 knockout mice display defects in the endocardium but have normal vascular morphology at E10.5, suggesting that the endocardial defect is the fundamental cause of death. In addition, a recent study showed that overexpression, and not deletion, of angiopoietin-1 from cardiomyocytes caused embryonic death between E12.5-15.5 due to cardiac hemorrhage. The mice had defects in the endocardium and myocardium and lack of coronary arteries, suggesting that, as with VEGF-A, a delicate control of angiopoietin-1 concentration is critical for early heart development.

ENDOTHELIAL-CARDIOMYOCYTE INTERACTIONS IN NORMAL CARDIAC FUNCTION

Cardiac Endothelial Cells Regulate Cardiomyocyte Contraction

The vascular endothelium senses the shear stress of flowing blood and regulates vascular smooth muscle contraction. It is therefore not surprising that cardiac endothelial cells—the endocardial endothelial cells as well as the endothelial cells of intramyocardial capillaries— regulate the contractile state of cardiomyocytes. Autocrine and paracrine signaling molecules released or activated by cardiac endothelial cells are responsible for this contractile response (Figure 2).

NITRIC OXIDE

Three different nitric oxide synthase isoenzymes synthesize nitric oxide (NO) from L-arginine. The neuronal and endothelial NO synthases (nNOS and eNOS, respectively) are expressed in normal physiological conditions, whereas the inducible NO synthase is induced by stress or cytokines. Like NO in the vessel, which causes relaxation of vascular smooth muscle, NO in the heart affects the onset of ventricular relaxation, which allows for a precise optimization of pump function beat by beat. Although NO is principally a paracrine effector secreted by cardiac endothelial cells, cardiomyocytes also express both nNOS and eNOS. Endothelial expression of eNOS exceeds that in cardiomyocytes by greater than 4:1. Cardiomyocyte autocrine eNOS signaling can regulate β-adrenergic and muscarinic control of contractile state.
Barouch et al. demonstrated that cardiomyocyte nNOS and eNOS may have opposing effects on cardiac structure and function. Using mice with nNOS or eNOS deficiency, they found that nNOS and eNOS have not only different localization in cardiomyocytes but also opposite effects on cardiomyocyte contractility; eNOS localizes to caveolae and inhibits L-type Ca2+ channels, leading to negative inotropy, whereas nNOS is targeted to the sarcoplasmic reticulum and facilitates Ca2+ release and thus positive inotropy (31). These results demonstrate that spatial confinement of different NO synthase isoforms contribute independently to the maintenance of cardiomyocyte structure and phenotype.
As indicated above, mutation of neuregulin or either of two of its cognate receptors, erbB2 and erbB4, causes embryonic death during mid-embryogenesis due to aborted development of myocardial trabeculation . Neuregulin also appears to play a role in fully developed myocardium. In adult mice, cardiomyocyte-specific deletion of erbB2 leads to dilated cardiomyopathy. Neuregulin from endothelial cells may induce a negative inotropic effect in isolated rabbit papillary muscles. This suggests that, along with NO, the neuregulin signaling pathway acts as an endothelial-derived regulator of cardiac inotropism.  In fact, the negative inotropic effect of neuregulin may require NO synthase because L-NMMA, an inhibitor of NO synthase, significantly attenuates the negative inotropy of neuregulin.

Studies to date indicate that cardiac regeneration in mammals may be feasible, but the response is inadequate to preserve myocardial function after a substantial injury. Thus, understanding how normal myocardial structure can be regenerated in adult hearts is essential. It is clear that endothelial cells play a role in cardiac morphogenesis and most likely also in survival and function of mature cardiomyocytes. Initial attempts to promote angiogenesis in myocardium were based on the premise that persistent ischemia could be alleviated. However, it is also possible that endothelial-cardiomyocyte interactions are essential in normal cardiomyocyte function and for protection from injury. Understanding the molecular and cellular mechanisms controlling these cell-cell interactions will not only enhance our understanding of the establishment of vascular network in the heart but also allow the development of new targeted therapies for cardiac regeneration by improving cardiomyocyte survival and maturation.

Endothelial-cardiomyocyte assembly

Figure 1.  Endothelial-cardiomyocyte assembly in adult mouse myocardium.
Normal adult mouse myocardium is stained with intravital perfusion techniques to demonstrate cardiomyocyte (outlined in red) and capillary (green; stained with isolectin-fluorescein) assembly. Nuclei are blue (Hoechst). Original magnification: 600X

Endothelial dysfunction

Intramyocardial Fibroblast – Myocyte Communication

Rahul Kakkar, M.D. and Richard T. Lee, M.D.
From the Cardiology Division, Massachusetts General Hospital and the Cardiovascular Division, Brigham and Women’s Hospital, Department of Medicine, Harvard Medical School, Boston, MA
Circ Res. 2010 January 8; 106(1): 47–57.    http://dx.doi.org/10.1161/CIRCRESAHA.109.207456

Cardiac fibroblasts have received relatively little attention compared to their more famous neighbors, the cardiomyocytes. Cardiac fibroblasts are often regarded as the “spotters”, nonchalantly watching the cardiomyocytes do the real weight-lifting, and waiting for a catastrophe that requires their actions. However, emerging data now reveal the fibroblast as not only a critical player in the response to injury, but also as an active participant in normal cardiac function.
Interest in cardiac fibroblasts has grown with the recognition that cardiac fibrosis is a prominent contributor to diverse forms of myocardial disease. In the early 1990’s, identification of angiotensin receptors on the surface of cardiac fibroblasts linked the renin-angiotensin-aldosterone system directly with pathologic myocardial and matrix extracellular remodeling.  Fibroblasts were also revealed as a major source of not only extracellular matrix, but the proteases that regulate and organize matrix. New research has uncovered paracrine and well as direct cell-to-cell interactions between fibroblasts and their cardiomyocyte neighbors, and cardiac fibroblasts appear to be dynamic participants in ventricular physiology and pathophysiology.
This review will focus on several aspects of fibroblast-myocyte communication, including mechanisms of paracrine communication.  Ongoing efforts at regeneration of cardiac tissue focus primarily on increasing the number of cardiomyocytes in damaged myocardium. Although getting cardiomyocytes into myocardium is an important goal, understanding intercellular paracrine communication between different cell types, including endothelial cells but also fibroblasts, may prove crucial to regenerating stable myocardium that responds to physiological conditions appropriately.

An area of active research in cardiovascular therapeutics is the attempt to engineer, ex vivo, functional myocardial tissue that may be engrafted onto areas of injured ventricle. Recent data suggests that the inclusion of cardiac fibroblasts in three-dimensional cultures greatly enhances the stability and growth of the nascent myocardium. Cardiac fibroblasts when included in polymer scaffolds seeded with myocytes and endothelial cells have the ability to promote and stabilize vascular structures. Naito and colleagues constructed three dimensional cultures of neonatal rat cell isolates on collagen type I and Matrigel (a basement membrane protein mixture), and isolates of a mixed cell population versus a myocyte-enriched population were compared. The mixed population cultures, which contained a higher fraction of cardiac fibroblasts than the myocyte-enriched cultures, displayed improved contractile force generation and greater inotropic response despite an equivalent overall cell number. Greater vascularity was also seen in the mixed-pool cultures.(160) Building on this, Nichol and colleagues demonstrated that in a self-assembling nanopeptide scaffold, embedded rat neonatal cardiomyocytes exhibit greater cellular alignment and reduced apoptosis when cardiac fibroblasts were included in the initial culture. A similar result was noted when polymer scaffolds were pre-treated with cardiac fibroblasts before myocyte seeding, suggesting a persistent paracrine effect. These data reinforce the concept that engineering functional myocardium, either in situ or ex vivo will require attention to the nature of cell-cell interactions, including fibroblasts.

To date, a broad initial sketch of cardiac fibroblast-myocyte interactions has been drawn. Future studies in this field will better describe these interactions. How do multiple paracrine factors interact to produce a cohesive and coordinated communication scheme? What are the changes in coordinated bidirectional signaling that during development promotes myocyte progenitor proliferation but have different roles in the adult? Might fibroblasts actually be required for improved cardiac repair and regeneration?
Recent studies have begun to apply genetic and cellular fate-mapping techniques to document the origins of cardiac fibroblasts, the dynamic nature of their population, and how that population may be in flux during time of injury or pressure overload. It is crucial to define on a more specific molecular basis the origins and fates of cardiac fibroblasts. Do fibroblasts that have been resident within the ventricle since development fundamentally differ from those that arise from endothelial transition or that infiltrate from the bone marrow during adulthood? Do fibroblasts with these different origins behave differently or take on different roles in the face of ventricular strain or injury?

Our understanding of the nature of the cardiac fibroblast is evolving from the concept of the fibroblast as a bystander that causes unwanted fibrosis to the picture of a more complex role of fibroblasts in the healthy as well as diseased heart. The pathways used by cardiac fibroblasts to communicate with their neighboring myocytes are only partially described, but the data to date indicate that these pathways will be important for cardiac repair and regeneration.

. Paracrine bidirectional cardiac fibroblast-myocyte crosstalk

Figure 2. Paracrine bidirectional cardiac fibroblast-myocyte crosstalk

Under biomechanical overload, cardiac fibroblasts and myocytes respond to an altered environment via multiple mechanisms including integrin-extracellular matrix interactions and renin-angiotensin-aldosterone axis activation. Cardiac fibroblasts increase synthesis of matrix proteins and secrete a variety of paracrine factors that can stimulate myocyte hypertrophy. Cardiac myocytes similarly respond by secreting a conglomerate of factors. Hormones such as TGFβ1, FGF-2, and the IL-6 family members LIF and CT-1 have all been implicated in this bidirectional fibroblast-myocyte hormonal crosstalk.

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Nitric Oxide Mitigates Sensitivity of Melanoma Cells to Cisplatin

Reporter/Curator: Stephen J. Williams, Ph.D.

Article ID #75: Nitric Oxide Mitigates Sensitivity of Melanoma Cells to Cisplatin. Published on 8/7/2013

WordCloud Image Produced by Adam Tubman

Screen Shot 2021-07-19 at 7.12.54 PM

Word Cloud By Danielle Smolyar

Picture of a human melanoma cell line growing in tissue culture

Cultured human melanocytes .

Nitric oxide (NO), a gas with many biological functions in healthy cells, has also been implicated in the development of pathologies such as cancer.  Nitric oxide may also play a role in chemotherapeutic reisitance. For example it had been known (in the 1996 Melanoma study by Joshi et al. curated below) that nitric oxide synthase activity (the enzyme system which produces NO) was significantly elevated in cultured melanoma cell lines versus normal melanocytes.   Although it is known that many protein and enzymes systems could be directly covalently-modified by nitric oxide, either by S-nitrosylation or NO-NAD+ modifications (one of my earlier postings described one such protein modified by nitric oxide, GAPDH, and the effect these NO-modifications of GAPDH has on the etiology of various pathologies.), the molecular mechanisms by which these modifications affect cellular processes, lead to disease etiology, the proteins which are affected, and mechanisms related to chemotherapeutic sensitivity need to be further characterized. A new study from MIT reveals how NO-induced modifications may reduce cisplatin sensitivity in melanoma cells.  This study focuses on how decreasing nitric oxide levels in melanoma cells increases their cisplatin sensitivity.  The study also describes a possible mechanism for this effect: NO-induced modifications of the proapoptotic enzyme caspace-3 and prolyl-hdroxylase-2 (responsible for targeting prosurvival HIF-1α for proteosomal degradation).  Also, for a description of other cancer-related targets of nitric oxide please see the posting by Dr. Saxena at Crucial role of Nitric Oxide in Cancer on this site.

To read more background on nitric oxide and its role in disease etiology please see our e-book Perspectives on Nitric Oxide in Disease Mechanisms (Biomed e-Books) available on Amazon at:

http://www.amazon.com/Perspectives-Nitric-Disease-Mechanisms-ebook/dp/B00DINFFYC

      It is important, however, to note that most of these relationships between NO-induced protein modification and its relationship to disease mechanisms are causal, meaning that, in general, one notices a nitric-induced modification of a protein/enzyme with concomitant alteration of protein/enzyme function occurring in a disease/phenotype.  However, unlike reversible modifications, which have a cadre of pharmacologic inhibitors, nitric oxide induced modifications are covalent and nonenzymatic, therefore hindering easy cause/effect relationships.

With that said, the following was adapted from the MIT site at http://web.mit.edu/newsoffice/2013/how-melanoma-evades-chemotherapy-0407.html.

  

 

The findings from Dr. Luiz Godoy’s PNAS paper ENDOGENOUSLY PRODUCED NITRIC OXIDE MITIGATES SENSITIVITY OF MELANOMA CELLS TO CISPLATIN,  were presented at the 2013 annual meeting of the American Association for Cancer Research. The prognosis is generally worse for patients whose tumors have high levels of NO, said Luiz Godoy, an MIT research associate and lead author of the study.

Godoy and his colleagues have unraveled the mechanism behind melanoma’s resistance to cisplatin, a commonly used chemotherapy drug, and, in ongoing studies, have found that cisplatin treatment also increases NO levels in breast and colon cancers.

“This could be a mechanism that is widely shared in different cancers, and if you use the drugs that are already used to treat cancer, along with other drugs that could scavenge or decrease the production of NO, you may have a synergistic effect,” said Godoy, who works in the lab of Gerald Wogan, an MIT professor emeritus of biological engineering and senior author of the study.

NO has many roles within living cells. At low concentrations, it helps regulate processes such as cell death and muscle contraction. NO, which is a free radical, is also important for immune-system function. Immune cells, such as macrophages, produce large amounts of NO during infection, helping to kill invading microbes by damaging their DNA or other cell components.

“It’s really a molecule that has a dual effect,” Godoy said. “At low concentrations it can act as a signaling molecule, while high concentrations will be toxic.”

Knocking out NO

In the new study, the researchers treated melanoma cells grown in the lab with drugs that capture NO before it can act. They then treated the cells with cisplatin and tracked cell-death rates. The NO-depleted cells became much more sensitive to the drug, confirming earlier findings.

The MIT team then went a step further, investigating how NO confers its survival benefits. It was already known that NO can alter protein function through a process known as S-nitrosation, which involves attaching NO to the target protein. S-nitrosation can affect many proteins, but in this study the researchers focused on two that are strongly linked with cell death and survival, known as caspase-3 and PHD2.

The role of caspase-3 is to stimulate cell suicide, under the appropriate conditions, but adding NO to the protein deactivates it. This prevents the cell from dying even when treated with cisplatin, a drug that produces massive DNA damage.

PHD2 is also involved in cell death; its role is to help break down another protein called HIF-1 alpha, which is a pro-survival protein. When NO inactivates PHD2, HIF-1 alpha stays intact and keeps the cell alive.

“Now we have a mechanistic link between nitric oxide and the increased aggressiveness of melanoma,” said Douglas Thomas, an assistant professor of medicinal chemistry and pharmacognosy at the University of Illinois at Chicago, who was not part of the research team. “It certainly would be worth exploring whether this mechanism is also present in different tumor types as well.”

The MIT researchers also found in some cancer cells, NO levels were five times higher than normal following cisplatin treatment. Godoy is now investigating how cisplatin stimulates that NO boost, and is also looking for other proteins that NO may be targeting.

Source: http://web.mit.edu/newsoffice/2013/how-melanoma-evades-chemotherapy-0407.html

Melanoma Res. 1996 Apr;6(2):121-6.

Nitric oxide synthase activity is up-regulated in melanoma cell lines: a potential mechanism for metastases formation.

Joshi M, Strandhoy J, White WL.

Source

Department of Dermatology, Bowman Gray School of Medicine, Wake Forest University, Winston-Salem, NC 27157, USA.

Abstract

Nitric oxide (NO) may be an important mediator of tumour angiogenesis and metastasis formation. Tumour cell derived NO may be important in the regulation of angiogenesis and vasodilatation of the blood vessels surrounding a tumour. The aims of the present study were, firstly, to determine whether malignant melanoma cells and normal melanocytes had nitric oxide synthase (NOS) activity (measured by the conversion of L-arginine to L-citrulline) and, secondly, to determine whether there was a difference in NOS activity between malignant and normal cell types. This paper assays NOS activity directly in lysates from normal human melanocyte and malignant melanoma cell lines. The enzyme activity was not inducible with bacterial lipopolysaccharide and could be heat denatured. The activity of NOS was demonstrated to be both NADPH- and calcium-dependent and it was inhibitable in a dose-dependent manner by the NOS inhibitor Nw-nitro-L-arginine methyl ester. We conclude that melanoma and melanocyte cells express a constitutive form of NOS. Finally, nitric oxide synthase activity in melanoma cell lines was found to be significantly greater than in normal melanocytes. These findings suggest that NO synthesis is elevated in malignant melanoma. An elevated NO concentration in melanoma is expected to promote metastases by maintaining a vasodilator tone in the blood vessels in and around the melanoma.

Proc Natl Acad Sci U S A. 2012 Dec 11;109(50):20373-8. doi: 10.1073/pnas.1218938109. Epub 2012 Nov 26.

Endogenously produced nitric oxide mitigates sensitivity of melanoma cells to cisplatin.

Godoy LC, Anderson CT, Chowdhury R, Trudel LJ, Wogan GN.

Source

Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Abstract

Melanoma patients experience inferior survival after biochemotherapy when their tumors contain numerous cells expressing the inducible isoform of NO synthase (iNOS) and elevated levels of nitrotyrosine, a product derived from NO. Although several lines of evidence suggest that NO promotes tumor growth and increases resistance to chemotherapy, it is unclear how it shapes these outcomes. Here we demonstrate that modulation of NO-mediated S-nitrosation of cellular proteins is strongly associated with the pattern of response to the anticancer agent cisplatin in human melanoma cells in vitro. Cells were shown to express iNOS constitutively, and to generate sustained nanomolar levels of NO intracellularly. Inhibition of NO synthesis or scavenging of NO enhanced cisplatin-induced apoptotic cell death. Additionally, pharmacologic agents disrupting S-nitrosation markedly increased cisplatin toxicity, whereas treatments favoring stabilization of S-nitrosothiols (SNOs) decreased its cytotoxic potency. Activity of the proapoptotic enzyme caspase-3 was higher in cells treated with a combination of cisplatin and chemicals that decreased NO/SNOs, whereas lower activity resulted from cisplatin combined with stabilization of SNOs. Constitutive protein S-nitrosation in cells was detected by analysis with biotin switch and reduction/chemiluminescence techniques. Moreover, intracellular NO concentration increased significantly in cells that survived cisplatin treatment, resulting in augmented S-nitrosation of caspase-3 and prolyl-hydroxylase-2, the enzyme responsible for targeting the prosurvival transcription factor hypoxia-inducible factor-1α for proteasomal degradation. Because activities of these enzymes are inhibited by S-nitrosation, our data thus indicate that modulation of intrinsic intracellular NO levels substantially affects cisplatin toxicity in melanoma cells. The underlying mechanisms may thus represent potential targets for adjuvant strategies to improve the efficacy of chemotherapy.

Other posts on this site regarding Nitric Oxide and Cancer include:

Crucial role of Nitric Oxide in Cancer

Nitric Oxide Covalent Modifications: A Putative Therapeutic Target?

Nitric Oxide has a ubiquitous role in the regulation of glycolysis -with a concomitant influence on mitochondrial function

Nitric Oxide Signalling Pathways

In focus: Melanoma therapeutics

Combined anti-CTLA4 and anti-PD1 immunotherapy shows promising results against advanced melanoma

Whole exome somatic mutations analysis of malignant melanoma contributes to the development of personalized cancer therapy for this disease

In focus: Melanoma therapeutics

In focus: Melanoma Genetics

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Targeting Mitochondrial-bound Hexokinase for Cancer Therapy

Author: Ziv Raviv, PhD

Mitochondria are recognized as essential for both life and death fates of cells. Mitochondria are the site where oxidative phosphorylation happens, the process that is responsible for the majority of energy production of the cell in the form of adenosine triphosphate (ATP) synthesis. Therefore mitochondria are considered as the main power station of the cell. On the other hand, both apoptotic and necrotic cell death may result from mitochondrial perturbation [1]. In cancer cells, mitochondria are different from those of normal cells by several aspects: (i) In cancer cells the mitochondrial membrane potential is higher than that of normal cells, (ii) there is expression modulation of permeability transition pore complex (PTPC) components which include the voltage-dependent anion channel (VDAC), the adenine nucleotide translocator (ANT), and cyclophilin D, and (iii) there are enhanced rates of glycolysis even in the presence of oxygen, a phenomena that is known as the Warburg effect [2]. In fact, many chemotherapeutic drugs induce mitochondrial-mediated apoptotic cell death (intrinsic apoptosis pathway) and act via mitochondrial perturbation, causing mitochondrial membrane permeability transition (MPT), membrane depolarization, osmotic swelling, and release of cytochrome c leading to cancer cell death.

Hexokinase (HK) is the initial enzyme of glycolysis that catalyzes the phosphorylation of glucose to glucose-6-phosphate (G6P), which is also the rate-limiting step in glycolysis and sequesters glucose inside the cells.  In cancer cells, HK (mainly HK-II) is overexpressed and found mostly bound to mitochondria through VDAC1  [3]. An enhanced expression of HK is found in aggressive tumors such as gliomas [4], and hepatomas [5]. HK overexpression, along with its glucose phosphorylation activity, is suggested to play a pivotal role in cancer cell growth rate and survival [6]. Thus, mitochondrial-bound HK overexpression may contribute to the Warburg effect by facilitating the access  to ATP, the substrate of HK [7]. In addition, as one of the hallmarks of cancer [8] is evading apoptotic cell death, owing in part to overexpression of anti-apoptotic proteins of the Bcl-2 family and that of HK, the elevated levels of mitochondria-bound HK in cancer cells contribute to the protection against mitochondria-mediated cell death [6].  All together, these characteristics make HK attractive target for cancer therapy.

Anti-cancer agents targeting HK-mitochondria interactions:

Jasmonates

The jasmonates plant stress hormones aside from their natural function against microbial pathogens in plants were also discovered to have toxic activities towards mammalian cancer cells. These activities consist of two important characteristics for anti-cancer drugs: high selectivity towards cancer cells, and the ability to act against drug resistant cancer cells [9]. The main mechanism of action of jasmonates–induced cancer cell death is suggested to involve direct mitochondrial perturbation. Methyl jasmonate (MJ) is able to reduce intracellular levels of ATP in various cancer cells, preceding cell death induction. Thus, the impaired ability of cancer cell mitochondria to generate ATP renders them more sensitive to the rapid ATP depletion induced by MJ. In addition, MJ induces mitochondrial membrane depolarization and cytochrome c release in cancer cells, as well as swelling and cytochrome c release in isolated mitochondria derived from cancer cells in a PTPC-mediated manner, but not of normal cells [10]. These findings demonstrate that the jasmonates selective toxicity towards cancer cells relies on the differential mitochondrial status of cancer cells vs. non-cancerous cells. Most relevant, it was clearly demonstrated that MJ binds specifically to HK and disrupts its interaction with mitochondrial VDAC1, leading to detachment of HK from the mitochondria followed by cytochrome c release and subsequent cell death [11]. The direct interaction of MJ with HK was demonstrated using real-time surface plasmon resonance (SPR).  In addition, it was demonstrated that the susceptibility of cancer cells and mitochondria to MJ  depends on the expression of HK and its mitochondrial association [11]. Therefore, MJ-induced HK detachment from mitochondria perturbs mitochondrial permeability and induce overall cellular energy crises, leading to cell death (see figure). Jasmonates thus describe for the first time of a cytotoxic mechanism based on direct interaction between an anti-cancer agent and HK. This finding may stimulate the development of a novel class of small anticancer compounds that inhibit the HK-VDAC1 interaction [12].

Image

VDAC1-based peptides

As described above, the HK association to mitochondria in cancer cells mediated through VDAC1 [13]. It has been shown that HK–VDAC1 interaction prevents induction of apoptosis in tumor-derived cells. Thus interfering with HK binding to VDAC1, promoting detachment of HK would form the basis for novel cancer treatment. Two main classes of agents might affect the HK-VDAC1 association: inhibitors of HK activity, or compounds that compete with VDAC1 for HK binding.

Detailed studies were performed in order to elucidate the domains on VDAC1 sequence that are essential for its interactions with HK.  These studies were based upon VDAC1 biochemical/functional structural prediction and the recently elucidated VDAC1 3D structure. By mutagenesis and functional studies, suspected domains on VDAC1 were examined as for their role in VDAC1-HK interactions [14]. According to these studies selected cell-penetrable VDAC1-based peptides were designed and were demonstrated to directly interact with purified HK in vitro and to detach HK bound to mitochondria isolated from tumor cells. Not only that, it was clearly demonstrated that these peptides are capable to selectively kill cancer cells while spearing normal cells [15], all together supporting the notion that interfering with the binding of HK to mitochondria by VDAC1-based peptides indeed may offer a novel strategy by which to induce selective cancer cell death.

Further directions

In order to evaluate the potential of using the HK-mitochondrial interactions as valid targets for cancer therapy, more steps are needed to be taken on the road. The selectiveness of this therapy relays on the fact that cancer cells bare much more mitochondrial-bound HK than normal cells, which might serve as an Achilles heel of the cancer cell. As peptides could be easily degraded in the plasma, the VDAC1-based peptides efficacy against cancer should be evaluated in vivo as well as their plasma stability should be examined. New generation and formulations of VDAC1-based peptides should be developed based upon research progress. As for jasmonates, their main deficiency is the need of using relatively high concentration (at the range of millimolar) to exert their action. Therefore, in order to develop valid jasmonate-based therapies, there is an urgent need for the development of jasmonate analogs that actually work in much lower dosage, with increased solubility, yet still effective and potent against cancer. Furthermore, it is not clear yet what is the exact domain on HK that MJ is interacting with. Elucidating the plausible interaction site(s) of MJ with HK would give the opportunity to design other small molecules directed to that specific HK domain with the hope to achieve more effective anti-cancer agents.

References

1. Newmeyer DD, Ferguson-Miller S (2003) Mitochondria: releasing power for life and unleashing the machineries of death. Cell 112 (4):481-490

2. Warburg O (1956) On the origin of cancer cells. Science 123 (3191):309-314

3. Pedersen PL, Mathupala S, Rempel A, Geschwind JF, Ko YH (2002) Mitochondrial bound type II hexokinase: a key player in the growth and survival of many cancers and an ideal prospect for therapeutic intervention. Biochim Biophys Acta 1555 (1-3):14-20

4. Pastorino JG, Hoek JB (2003) Hexokinase II: the integration of energy metabolism and control of apoptosis. Curr Med Chem 10 (16):1535-1551

5. Gelb BD, Adams V, Jones SN, Griffin LD, MacGregor GR, McCabe ER (1992) Targeting of hexokinase 1 to liver and hepatoma mitochondria. Proc Natl Acad Sci U S A 89 (1):202-206

6. Mathupala SP, Ko YH, Pedersen PL (2006) Hexokinase II: cancer’s double-edged sword acting as both facilitator and gatekeeper of malignancy when bound to mitochondria. Oncogene 25 (34):4777-4786

7. Pedersen PL (2007) Warburg, me and Hexokinase 2: Multiple discoveries of key molecular events underlying one of cancers’ most common phenotypes, the “Warburg Effect”, i.e., elevated glycolysis in the presence of oxygen. J Bioenerg Biomembr 39 (3):211-222

8. Hanahan D, Weinberg RA (2011) Hallmarks of cancer: the next generation. Cell 144 (5):646-674

9. Raviv Z, Cohen S, Reischer-Pelech D (2013) The anti-cancer activities of jasmonates. Cancer Chemother Pharmacol 71 (2):275-285

10. Rotem R, Heyfets A, Fingrut O, Blickstein D, Shaklai M, Flescher E (2005) Jasmonates: novel anticancer agents acting directly and selectively on human cancer cell mitochondria. Cancer Res 65 (5):1984-1993

11. Goldin N, Arzoine L, Heyfets A, Israelson A, Zaslavsky Z, Bravman T, Bronner V, Notcovich A, Shoshan-Barmatz V, Flescher E (2008) Methyl jasmonate binds to and detaches mitochondria-bound hexokinase. Oncogene 27 (34):4636-4643

12. Galluzzi L, Kepp O, Tajeddine N, Kroemer G (2008) Disruption of the hexokinase-VDAC complex for tumor therapy. Oncogene 27 (34):4633-4635

13. Shoshan-Barmatz V, Zakar M, Rosenthal K, Abu-Hamad S (2009) Key regions of VDAC1 functioning in apoptosis induction and regulation by hexokinase. Biochim Biophys Acta 1787 (5):421-430

14. Abu-Hamad S, Zaid H, Israelson A, Nahon E, Shoshan-Barmatz V (2008) Hexokinase -I protection against apoptotic cell death is mediated via interaction with the voltage-dependent anion channel-1: Mapping the site of binding. J Biol Chem 19:13482-13490

15. Arzoine L, Zilberberg N, Ben-Romano R, Shoshan-Barmatz V (2009) Voltage-dependent anion channel 1-based peptides interact with hexokinase to prevent its anti-apoptotic activity. J Biol Chem 284 (6):3946-3955.

pharmaceuticalintelligence.com

http://pharmaceuticalintelligence.com/2012/10/17/is-the-warburg-effect-the-cause-or-the-effect-of-cancer-a-21st-century-view/

http://pharmaceuticalintelligence.com/2012/09/01/mitochondria-and-cancer-an-overview/

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Curator: Ritu Saxena, Ph.D.

Melanoma

Melanoma represents approximately 4% of human skin cancers, yet accounts for approximately 80% of deaths from cutaneous neoplasms. It remains one of the most common types of cancer among young adults. Melanoma is recognized as the most common fatal skin cancer with its incidence rising to 15 fold in the past 40 years in the United States. Melanoma develops from the malignant transformation of melanocytes, the pigment-producing cells that reside in the basal epidermal layer in human skin. (Greenlee RT, et al, Cancer J Clin. Jan-Feb 2001;51(1):15-36 ; Weinstock MA, et al, Med Health R I. Jul 2001;84(7):234-6).  Classic clinical signs of melanoma include change in color, recent enlargement, nodularity, irregular borders, and bleeding. Cardinal signs of melanoma are sometimes referred to by the mnemonic ABCDEs (asymmetry, border irregularity, color, diameter, elevation) (Chudnovsky Y, et al. J Clin Invest, 1 April 2005; 115(4): 813–824).

Clinical characteristics

Melanoma primarily affects fair-haired and fair-skinned individuals, and those who burn easily or have a history of severe sunburn are at higher risk than their darkly pigmented, age-matched controls. The exact mechanism and wavelengths of UV light that are the most critical remain controversial, but both UV-A (wavelength 320–400 nm) and UV-B (290–320 nm) have been implicated (Jhappan C, et al, Oncogene, 19 May 2003;22(20):3099-112). Case-control studies have identified several risk factors in populations susceptible to developing melanoma. MacKie RM et al (1989) stated that the relative risk of cutaneous melanoma is estimated from the four strongest risk factors identified by conditional logistic regression. These factors are

  • total number of benign pigmented naevi above 2 mm diameter;
  • freckling tendency;
  • number of clinically atypical naevi (over 5 mm diameter and having an irregular edge, irregular pigmentation, or inflammation); and
  • a history of severe sunburn at any time in life.

Use of this risk-factor chart should enable preventive advice for and surveillance of those at greatest risk (MacKie RM, et al, Lancet 26 Aug1989;2(8661):487-90).

Cutaneous melanoma can be subdivided into several subtypes, primarily based on anatomic location and patterns of growth (Table 1).

Image

Table 1: Clinical Classification of Melanoma (Chudnovsky Y, et al, 2005)

The genetics of melanoma

As in many cancers, both genetic predisposition and exposure to environmental agents are risk factors for melanoma development. Many studies conducted over several decades on benign and malignant melanocytic lesions as well as melanoma cell lines have implicated numerous genes in melanoma development and progression.

Image

Table 2: Genes involved in Melanoma (Chudnovsky Y, et al, 2005)

Apart from the risk factors such as skin pigmentation, freckling, and so on, another significant risk factor is ‘strong family history of melanoma’. Older case-control studies of patients with familial atypical mole-melanoma (FAMM) syndrome suggested an elevated risk of ∼434-to 1000-fold over the general population (Greene MH, et al, Ann Intern Med, Apr 1985;102(4):458-65). A more recent meta-analysis of family history found that the presence of at least one first-degree relative with melanoma increases the risk by 2.24-fold (Gandini S, et al, Eur J Cancer, Sep 2005;41(14):2040-59). Genetic studies of melanoma-prone families have given important clues regarding melanoma susceptibility loci.

CDKN2A, the familial melanoma locus

CDKN2A is located at chromosome 9p21 and is composed of 4 exons (E) – 1α, 1β, 2, and 3. LOH or mutations at this locus cosegregated with melanoma susceptibility in familial melanoma kindred and 9p21 mutations have been observed in different cancer cell lines. The locus encodes two tumor suppressors via alternate reading frames, INK4 (p16INK4a) and ARF (p14ARF). INK4A and ARF encode alternative first exons, 1α and 1β respectively and different promoters. INK4A is translated from the splice product of E1α, E2, and E3, while ARF is translated from the splice product of E1β, E2, and E3. Second exons of the two proteins are shared and two translated proteins share no amino acid homology.

INK4A is the founding member of the INK4 (Inhibitor of cyclin-dependent kinase 4) family of proteins and inhibits the G1 cyclin-dependent kinases (CDKs) 4/6, which phosphorylate and inactivate the retinoblastoma protein (RB), thereby allowing for S-phase entry. Thus, loss of INK4K function promotes RB inactivation through hyperphosphorylation, resulting in unconstrained cell cycle progression.

ARF (Alternative Reading Frame) protein of the locus inhibits HDM2-mediated ubiquitination and subsequent degradation of p53. Thus, loss of ARF inactivates another tumor suppressor, p53. The loss of p53 impairs mechanisms that normally target genetically damaged cells for cell cycle arrest and/or apoptosis, which leads to proliferation of damaged cells. Loss of CDKN2A therefore contributes to tumorigenesis by disruption of both the pRB and p53 pathways.

figure 1

Figure 1:  Genetic encoding and mechanism of action of INK4A and ARF.

(Chudnovsky Y, et al, 2005)

RAF and RAS pathways

A genetic hallmark of melanoma is the presence of activating mutations in the oncogenes BRAF and NRAS, which are present in 70% and 15% of melanomas, respectively, and lead to constitutive activation of mitogen-activated protein kinase (MAPK) pathway signaling. However, molecules that inhibit MAPK pathway–associated kinases, like BRAF and MEK, have shown only limited efficacy in the treatment of metastatic melanoma. Thus, a deeper understanding of the cross talk between signaling networks and the complexity of melanoma progression should lead to more effective therapy.

NRAS mutations activate both effector pathways, Raf-MEK-ERK and PI3K-Akt in melanoma. The Raf-MEK-ERK pathway may also be activated via mutations in the BRAF gene. In a subset of melanomas, the ERK kinases have been shown to be constitutively active even in the absence of NRAS or BRAF mutations. The PI3K-Akt pathway may be activated through loss or mutation of the tumor suppressor gene PTEN, occurring in 30–50% of melanomas, or through gene amplification of the AKT3 isoform. Activation of ERK and/or Akt3 promotes the development of melanoma by various mechanisms, including stimulation of cell proliferation and enhanced resistance to apoptosis.

JCI0524808.f3

Figure 2: Schematic of the canonical Ras effector pathways Raf-MEK-ERK and PI3K-Akt in melanoma.

Curtin et al (2005) compared genome-wide alterations in the number of copies of DNA and mutational status of BRAF and NRAS in 126 melanomas from four groups in which the degree of exposure to ultraviolet light differs: 30 melanomas from skin with chronic sun-induced damage and 40 melanomas from skin without such damage; 36 melanomas from palms, soles, and subungual (acral) sites; and 20 mucosal melanomas. Significant differences were observed in number of copies of DNA and mutation frequencies in BRAF among the four groups of melanomas. Eighty-one percent of the melanomas on skin without sun-induced damaged had mutations in BRAF or NRAS. Melanomas with wild-type BRAF or NRAS frequently had increases in the number of copies of the genes for cyclin-dependent kinase 4 (CDK4) and cyclin D1 (CCND1), downstream components of the RAS-BRAF pathway. Thus, the genetic alterations identified in melanomas at different sites and with different levels of sun exposure indicate that there are distinct genetic pathways in the development of melanoma and implicate CDK4 and CCND1 as independent oncogenes in melanomas without mutations in BRAF or NRAS. (Curtin JA, et al, N Engl J Med, 17 Nov 2005;353(20):2135-47).

Genetic Heterogeneity of Melanoma

Melanoma exhibits molecular heterogeneity with markedly distinct biological and clinical behaviors. Lentigo maligna melanomas, for example, are indolent tumors that develop over decades on chronically sun-exposed area such as the face. Acral lentigenous melanoma, or the other hand, develops on sun-protected regions, tend to be more aggressive. Also, transcription profiling has provided distinct molecular subclasses of melanoma. It is also speculated that alterations at the DNA and RNA and the non-random nature of chromosomal aberrations may segregate melanoma tumors into subtypes with distinct clinical behaviors.

The melanoma gene atlas

Whole-genome screening technologies such as spectral karyotype analysis and array-CGH have identified many recurrent nonrandom chromosomal structural alterations, particularly in chromosomes 1, 6, 7, 9, 10, and 11 (Curtin JA, et al, N Engl J Med, 17 Nov 2005;353(20):2135-47); however, in most cases, no known or validated targets have been linked to these alterations.

In A systematic high-resolution genomic analysis of melanocytic genomes, array-CGH profiles of 120 melanocytic lesions, including 32 melanoma cell lines, 10 benign melanocytic nevi, and 78 melanomas (primary and metastatic) by Chin et al (2006) revealed a level of genomic complexity not previously appreciated. In total, 435 distinct copy number aberrations (CNAs) were defined among the metastatic lesions, including 163 recurrent, high-amplitude events. These include all previously described large and focal events (e.g., 1q gain, 6p gain/6q loss, 7 gain, 9p loss, and 10 loss). Genomic complexity observed in primary and benign nevi melanoma is significantly less than that observed in metastatic melanoma (Figure 3)  (Chin L, et al, Genes Dev. 15 Aug 2006;20 (16):2149-2182).

Genetic heterogeneity Melanoma

Figure 3: Genome comparisons of melanocyte lesions (Chin L, et al, 2006)

Thus, genomic profiling of various melanoma progression types could reveal important information regarding genetic events those likely drive as metastasis and possibly, reveal provide cues regarding therapy targeted against melanoma.

Reference:

  1. Greenlee RT, et al, Cancer J Clin. Jan-Feb 2001;51(1):15-36
  2. Weinstock MA, et al, Med Health R I. Jul 2001;84(7):234-6
  3. Chudnovsky Y, et al. J Clin Invest, 1 April 2005; 115(4): 813–824
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  5. MacKie RM, et al, Lancet 26 Aug1989;2(8661):487-90)
  6. Gandini S, et al, Eur J Cancer, Sep 2005;41(14):2040-59)
  7. Curtin JA, et al, N Engl J Med, 17 Nov 2005;353(20):2135-47
  8. Chin L, et al, Genes Dev. 15 Aug 2006;20 (16):2149-2182

Related articles on Melanoma on this Open Access Online Scientific Journal, include the following: 

Thymosin alpha1 and melanoma Author/Editor- Tilda Barliya, Ph.D.

A New Therapy for Melanoma Reporter- Larry H Bernstein, M.D.

Melanoma: Molecule in Immune System Could Help Treat Dangerous Skin Cancer Reporter: Prabodh Kandala, Ph.D.

Why Braf inhibitors fail to treat melanoma. Reporter: Prabodh Kandala, Ph.D.

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