Feeds:
Posts
Comments

Archive for the ‘Pharmaceutical Discovery’ Category

Monoclonal Antibody Drug Immunogenicity

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

Immunogenicity assessment of monoclonal antibodies
Category: Abstracted Scientific Content
Author(s):    Michelle Derbyshire, PhD, GaBI Online Editor

GaBI 2015; 4(4).  http://gabi-journal.net/immunogenicity-assessment-of-monoclonal-antibodies.html

The most critical safety concern relating to biologicals (including biosimilars) is immunogenicity. This is especially important for monoclonal antibody (mAb) biologicals, which are large molecules with complex structures and functions and which represent the largest class of biologicals.

Immunogenicity is the ability to induce a humoral and/or cellmediated immune response. Most biologicals induce immune responses, because they are polypeptides or proteins and might therefore be recognized by the immune system as foreign. However, in most cases, the presence of antibodies is harmless and has little clinical consequence. The problem is that some cases of immunogenicity can cause problems or even be fatal, such as in the case of pure red cell aplasia. Such cases raise concerns about the potential clinical consequences of extensive use of biologicals and biosimilars. Given that biologicals may induce such unwanted immune responses it is essential to investigate the immunogenicity of a biological prior to marketing approval. This is especially important when considering that the problem with immunogenicity is that it is impossible to predict.

The immune response is influenced by many factors and data generated in pre-licensure studies may prove difficult to assess for regulators. Immunogenicity can be influenced by the product itself, e.g. structure, aggregation, dose, duration, but can also be affected by the patient, e.g. age, gender, ethnicity, immune status, genetic make-up. The knowledge and expertise required for assessment of immunogenicity requires a thorough understanding of animal and human immunology as well as specific product characteristics, including mechanism of action, antibody assays and assessment of results in a given clinical context. The appropriate interpretation of immunogenicity data is of critical importance for defining the safety profile of an mAb.

At the World Health Organization (WHO) implementation workshop on Evaluation of Biotherapeutic Products, held in Seoul, Republic of Korea, in May 2014, regulators and manufacturers participated in a workshop evaluating two case studies mimicking a real situation evaluating immunogenicity studies for two fictitious mAb products.

It was expected that after completing the workshop, participants would have an understanding of how immunogenicity studies are conducted and assessed. In addition, how the information obtained is used to make decisions relating to the appropriateness of the studies and how the observed immunogenicity impacts on the clinical use of the mAbs was also covered.

Predictive immunogenicity modelling algorithms, such as in silico and T cell studies, are showing promise for identification of potential immunogenic T cell epitopes. However, despite the promise of these predictive tests, human clinical data is still needed for determining immunogenicity. This cannot be replaced by use of animal or in vitro or in silico tools.

Suitability of the assays for immunogenicity assessment was highlighted as a topic of critical importance for conducting the case studies. In the case of biosimilars, the methods used to measure the incidence of immunogenicity and the immunogenic potential of biosimilars and reference biologicals can significantly impact the comparability of the two molecules, and therefore great care must be taken in the development and execution of assays to measure immunogenicity. The value of reviewing raw data for each individual subject in order to assess the impact of immunogenicity on effi cacy and safety was also clearly demonstrated in the case studies.

WHO guidelines state that the monitoring period for immunogenicity assessment depends on the intended duration of treatment and the expected time of antibody development. However, one of the examples in the case studies illustrated that a longer period of observation may be necessary to increase accuracy in assessing immunogenicity.

Discussion on additional indications and the need for additional immunogenicity studies revealed that the expectations in terms of the size and design of such studies differ among regulators and manufacturers. However, there was a consensus that the original case studies were limited and that additional data needed to be generated.

When it comes to biosimilar mAbs, it becomes an even more sophisticated exercise, and includes the challenge of addressing correlation between bioanalytical signals and clinical endpoints. The case studies highlighted the need to assess the methods used for appropriateness for use for their intended purpose and to interpret the data generated, taking into account their limitations.

 

 

 

Read Full Post »

Hyper Innovations in Pharma 2015

Reporter : Gérard Henri Loiseau, ESQ

 

Bio Pharma 2015: Soaring to New Heights

Pharmaceutical Manufacturing, Steven E. Kuehn, Nov 10 2015

 

Growth Statistics

Bio Pharma is an “evolving accelerating science” (John J. Castellani, PhRMA).

R&D spending which was

$2 billion in 1980 is estimated

$51,6 billion in 2013,

it represents 1 in every 5 dollars spent on domestic R&D in the US.

90% is spent on Clinical Trials,

6199 Clinical Trials in 2013.

>$2.6 billion is the cost estimated to develop and bring a new drug on the market

In 2014 FDA approved 44 drugs, so a good year both for NCEs and NBEs, Forbes Magazine, Bernard Munos

 

Hyper Innovation

According to Mr. Munos the main players are

  • Novartis
  • J&J
  • GSK
  • AstraZeneca

Deloitte’s report “Advanced Biopharmaceutical Manufacturing: An Evolution, Underway” identifies several targets:

  • Continuous manufacturing
  • New process analytical tools
  • Single-use systems
  • Alternative downstream processing technique

Amgen vice president Jim Thomas points out:

  • A more competitive business environment
  • A more challenging reimbursement environment
  • A more conservative regulatory environment

There is a necessity for the highest quality manufacturing environments.

“Design the molecule. Design the Process. Design the plant,” is his credo, which generates its “transforming Biotechnology Manufacturing” initiative

  • Trends in analytical tools will support operational excellence
  • Bio therapeutics manufacturing will be centered on cell-based systems
  • A greater productivity within a smaller footprint will be allowed
  • Flexibility is the goal thanks to standardized processes across all stages

These are the keys to operational excellence.

 

Process Analytical Technology (PAT)

FDA’s perspective is that ”quality cannot be tested into products; it should be built-in or should be by design”

Deloitte estimates that PAT can promote fewer recalls and less scrap inventory.

 

Towards a continuous future?

A recognized potential for small molecule drugs, and some companies have developed this continuous technology.

Deloitte’s study says that FDA views continuous manufacturing as consistent with the FDA’s quality by design efforts.

How to define a batch in case of product recall is a true challenge, which means that new measurements methods are needed.

Continuous manufacturing opposed to efficient, well-planned and engineered facilities, which is the vision developed by Amgen and others innovative players.

SOURCE

http://www.pharmamanufacturing.com/articles/2015/bio-pharma-2015/

 

 

Read Full Post »

Muscular dystrophy has deficient stem cell dystrophin

Larry H. Bernstein, MD, FCAP, Curator

LPBI

Article ID #198: Muscular dystrophy has deficient stem cell dystrophin. Published on 11/21/2015

WordCloud Image Produced by Adam Tubman

Dystrophin Deficient Stem Cell Pathology

Muscular Dystrophy is a Stem Cell-Based Disease

Because DMD results from mutations in the dystrophin gene, the vast majority of muscular dystrophy research was based on a simple model in which the Dystrophin protein played a structural role in the structural integrity of muscle fibers. Abnormal versions of the Dystrophin protein caused the muscle fibers to become damaged and die as a result of contraction.  Dystrophin anchors the cytoskeleton of the muscle fibers, which are essential for muscle contraction, to the muscle cell membrane, and then to the extracellular matrix outside the cell that serves as a foundation upon which the muscle cells are built.

gb-2001-2-4-reviews3006-3

However in this current study, Rudnicki and his team discovered that muscle stem cells also express the dystrophin protein. This is a revelation because Dystrophin was thought to be protein that ONLY appeared in mature muscle. However, in this study, it became exceedingly clear that in the absence of Dystrophin, muscle stem cells generated ten-fold fewer muscle precursor cells, and, consequently, far fewer functional muscle fibers. Dystrophin is also a component of a signal transduction pathway that allows muscle stem cells to properly ascertain if they need to replace dead or dying muscle.  Muscle stem cells repair the muscle in response to injury or exercise by dividing to generate precursor cells that differentiate into muscle fibers.

Even though Rudnicki used mice as a model system in these experiments, the Dystrophin protein is highly conserved in most vertebrate animals. Therefore, it is highly likely that these results will also apply to human muscle stem cells.

Gene therapy experiments and trials are in progress and even show some promise, but Rudnicki’s work tells us that gene therapy approaches must target muscle stem cells as well as muscle fibers if they are to work properly.

“We’re already looking at approaches to correct this problem in muscle stem cells,” said Dr. Rudnicki.

This paper has received high praise from the likes of Ronald Worton, who was one of the co-discovers of the dystrophin gene with Louis Kunkel in 1987.

Early pathogenesis of Duchenne muscular dystrophy modelled in patient-derived human induced pluripotent stem cells

Emi Shoji, Hidetoshi Sakurai, Tokiko Nishino, Tatsutoshi Nakahata, Toshio Heike, Tomonari Awaya, Nobuharu Fujii, Yasuko Manabe, Masafumi Matsuo & Atsuko Sehara-Fujisawa

Scientific Reports 5, Article number: 12831 (2015)   http://dx.doi.org:/10.1038/srep12831

Duchenne muscular dystrophy (DMD) is a progressive and fatal muscle degenerating disease caused by a dystrophin deficiency. Effective suppression of the primary pathology observed in DMD is critical for treatment. Patient-derived human induced pluripotent stem cells (hiPSCs) are a promising tool for drug discovery. Here, we report an in vitro evaluation system for a DMD therapy using hiPSCs that recapitulate the primary pathology and can be used for DMD drug screening. Skeletal myotubes generated from hiPSCs are intact, which allows them to be used to model the initial pathology of DMD in vitro. Induced control and DMD myotubes were morphologically and physiologically comparable. However, electric stimulation of these myotubes for in vitro contraction caused pronounced calcium ion (Ca2+) influx only in DMD myocytes. Restoration of dystrophin by the exon-skipping technique suppressed this Ca2+ overflow and reduced the secretion of creatine kinase (CK) in DMD myotubes. These results suggest that the early pathogenesis of DMD can be effectively modelled in skeletal myotubes induced from patient-derived iPSCs, thereby enabling the development and evaluation of novel drugs.

Duchenne muscular dystrophy (DMD) is characterised by progressive muscle atrophy and weakness that eventually leads to ambulatory and respiratory deficiency from early childhood1. It is an X-linked recessive inherited disease with a relatively high frequency of 1 in 3500 males1,2.DMD, which is responsible for DMD, encodes 79 exons and produces dystrophin, which is one of the largest known cytoskeletal structural proteins3. Most DMD patients have various types of deletions or mutations in DMD that create premature terminations, resulting in a loss of protein expression4. Several promising approaches could be used to treat this devastating disease, such as mutation-specific drug exon-skipping5,6, cell therapy7, and gene therapy1,2.

Myoblasts from patients are the most common cell sources for assessing the disease phenotypes of DMD11,12. …Previous reports have shown that muscle cell differentiation from DMD patient myoblasts is delayed and that these cells have poor proliferation capacity compared to those of healthy individuals11,12. Our study revealed that control and DMD myoblasts obtained by activating tetracycline-dependent MyoD transfected into iPS cells (iPStet-MyoD cells) have comparable growth and differentiation potential and can produce a large number of intact and homogeneous myotubes repeatedly.

The pathogenesis of DMD is initiated and progresses with muscle contraction. The degree of muscle cell damage at the early stage of DMD can be evaluated by measuring the leakage of creatine kinase (CK) into the extracellular space15. Excess calcium ion (Ca2+) influx into skeletal muscle cells, together with increased susceptibility to plasma membrane injury, is regarded as the initial trigger of muscle damage in DMD19,20,21,22,23,24. Targeting these early pathogenic events is considered essential for developing therapeutics for DMD.

In this study, we established a novel evaluation system to analyse the cellular basis of early DMD pathogenesis by comparing DMD myotubes with the same clone but with truncated dystrophin-expressing DMD myotubes, using the exon-skipping technique. We demonstrated through in vitro contraction that excessive Ca2+ influx is one of the earliest events to occur in intact dystrophin-deficient muscle leading to extracellular leakage of CK in DMD myotubes.

Generation of tetracycline-inducible MyoD-transfected DMD patient-derived iPSCs (iPStet-MyoD cells)

Figure 1: Generation and characterization of control and DMD patient-derived Tet-MyoD-transfected hiPS cells.   Full size image

Morphologically and physiologically comparable intact myotubes differentiated from control and DMD-derived hiPSCs

Figure 2: Morphologically and physiologically comparable skeletal muscle cells differentiated from Control-iPStet-MyoD and DMD-iPStet-MyoD.   Full size image

Exon-skipping with AO88 restored expression of Dystrophin in DMD myotubes differentiated from DMD-iPStet-MyoD cells

 

Figure 3: Restoration of dystrophin protein expression by AO88.   Full size image

 
Restored dystrophin expression attenuates Ca2+ overflow in DMD-Myocytes

 

Figure 4: Restored expression of dystrophin diminishes Ca2+ influx in DMD muscle in response to electric stimulation.   Full size image


Ca2+ influx provokes skeletal muscle cellular damage in DMD muscle

 

Figure 5: Ca2+ influx induces prominent skeletal muscle cellular damage in DMD-Myocytes.   Full size image

 

Skeletal muscle differentiation in myoblasts from DMD patients is generally delayed compared to that in healthy individuals11,36,37.  Our differentiation system successfully induced the formation of myotubes from DMD patients, and the myotubes displayed analogous morphology and maturity compared with control myotubes (Fig. 2a–c).  Comparing myotubes generated from patient-derived iPS cells with those derived from the same DMD clones but expressing dystrophin by application of the exon-skipping technique enabled us to demonstrate the primary cellular phenotypes in skeletal muscle solely resulting from the loss of the dystrophin protein (Fig. 4b).  Our results demonstrate that truncated but functional dystrophin protein expression improved the cellular phenotype of DMD myotubes.

In DMD, the lack of dystrophin induces an excess influx of Ca2+ , leading to pathological dystrophic changes22. We consistently observed excess Ca2+ influx in DMD-Myocytes compared to Control-Myocytes (Supplementary Figure S3a and S3b) in response to electric stimulation. TRP channels, which are mechanical stimuli-activated Ca2+ channels40that are expressed in skeletal muscle cells41, can account for this pathogenic Ca2+ influx…

In conclusion, our study revealed that the absence of dystrophin protein induces skeletal muscle damage by allowing excess Ca2+ influx in DMD myotubes. Our experimental system recapitulated the early phase of DMD pathology as demonstrated by visualisation and quantification of Ca2+ influx using intact myotubes differentiated from hiPS cells.  This evaluation system significantly expands prospective applications with regard to assessing the effectiveness of exon-skipping drugs and also enables the discovery of drugs that regulate the initial events in DMD.

Duchenne muscular dystrophy affects stem cells, University of Ottawa study finds  

New treatments could one day be available for the most common form of muscular dystrophy after a study suggests the debilitating genetic disease affects the stem cells that produce healthy muscle fibres.

The findings are based on research from the University of Ottawa and The Ottawa Hospital, published Monday in the journal Nature Medicine.

For nearly two decades, doctors had thought the muscular weakness that is the hallmark of the disease was due to problems with human muscle fibers, said Dr. Michael Rudnicki, the study’s senior author.

The new research shows the specific protein characterized by its absence in Duchenne muscular dystrophy normally exists in stem cells.

Dystrophin protein found in stem cells

“The prevailing notion was that the protein that’s missing in Duchenne muscular dystrophy — a protein called dystrophin — was not involved at all in the function of the stem cells.”

http://soundcloud.com/cbcottawa1

When the genetic mutations caused by Duchenne muscular dystrophy inhibit the production of dystrophin in stem cells, those stem cells produce significantly fewer precursor cells — and thus fewer properly functioning muscle fibres.  Further, stem cells need dystrophin to sense their environment to figure out if they need to divide to produce more stem cells or perform muscle repair work.

Genetic repair might treat Duchenne muscular dystrophy

July 25, 2011|By Thomas H. Maugh II, Los Angeles Times
 

A genetic technique that allows the body to work around a crucial mutation that causes Duchenne muscular dystrophy increased the mass and function of muscles in a small group of patients with the devastating disease, paving the way for larger clinical trials of the drug. The study in a handful of boys age 5 to 15 showed that patients receiving the highest level of the drug, called AVI-4658 or eteplirsen, had a significant increase in production of a missing protein and increases in muscle fibers. The study demonstrated that the drug is safe in the short term. Results were reported Sunday in the journal Lancet.

Duchenne muscular dystrophy affects about one in every 3,500 males worldwide. It is caused by any one of several different mutations that affect production of a protein called dystrophin, which is important for the production and maintenance of muscle fibers. Affected patients become unable to walk and must use a wheelchair by age 8 to 12. Deterioration continues through their teens and 20s, and the condition typically proves fatal as muscle failure impairs their ability to breathe.

This study is designed to assess the efficacy, safety, tolerability, and pharmacokinetics (PK) of AVI-4658 (eteplirsen) in both 50.0 mg/kg and 30.0 mg/kg doses administered over 24 weeks in subjects diagnosed with Duchenne muscular dystrophy (DMD).

 

Condition Intervention Phase
Duchenne Muscular Dystrophy Drug: AVI-4658 (Eteplirsen)
Other: Placebo
Phase 2
Study Type:Interventional
Study Design:Allocation: Randomized
Endpoint Classification: Safety/Efficacy Study
Intervention Model: Parallel Assignment
Masking: Double Blind (Subject, Caregiver, Investigator, Outcomes Assessor)
Primary Purpose: Treatment
Official Title:A Randomized, Double-Blind, Placebo-Controlled, Multiple Dose Efficacy, Safety, Tolerability and Pharmacokinetics Study of AVI-4658(Eteplirsen),in the Treatment of Ambulant Subjects With Duchenne Muscular Dystrophy
 
 
Resource links provided by NLM:
 
 
Dystrophin expression in muscle stem cells regulates their polarity and asymmetric division

Nature Medicine(2015)   http://dx.doi.org:/10.1038/nm.3990

Dystrophin is expressed in differentiated myofibers, in which it is required for sarcolemmal integrity, and loss-of-function mutations in the gene that encodes it result in Duchenne muscular dystrophy (DMD), a disease characterized by progressive and severe skeletal muscle degeneration. Here we found that dystrophin is also highly expressed in activated muscle stem cells (also known as satellite cells), in which it associates with the serine-threonine kinase Mark2 (also known as Par1b), an important regulator of cell polarity. In the absence of dystrophin, expression of Mark2 protein is downregulated, resulting in the inability to localize the cell polarity regulator Pard3 to the opposite side of the cell. Consequently, the number of asymmetric divisions is strikingly reduced in dystrophin-deficient satellite cells, which also display a loss of polarity, abnormal division patterns (including centrosome amplification), impaired mitotic spindle orientation and prolonged cell divisions. Altogether, these intrinsic defects strongly reduce the generation of myogenic progenitors that are needed for proper muscle regeneration. Therefore, we conclude that dystrophin has an essential role in the regulation of satellite cell polarity and asymmetric division. Our findings indicate that muscle wasting in DMD not only is caused by myofiber fragility, but also is exacerbated by impaired regeneration owing to intrinsic satellite cell dysfunction.

Read Full Post »

Adenosine Receptor Agonist Increases Plasma Homocysteine

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

The Adenosine Receptor Agonist 5’-N-Ethylcarboxamide-Adenosine Increases Mouse Serum Total Homocysteine Levels, Which Is a Risk Factor for Cardiovascular Diseases

Spring Zhou Editor at Scientific Research Publishing

I would like to share this paper with you. Any comments on this article are welcome.

 

An increase in total homocysteine (Hcy) levels (protein-bound and free Hcy in the serum) has been identified as a risk factor for vascular diseases. Hcy is a product of the methionine cycle and is a precursor of glutathione in the transsulfuration pathway. The methionine cycle mainly occurs in the liver, with Hcy being exported out of the liver and subsequently bound to serum proteins. When the non-specific adenosine receptor agonist 5’-N-ethylcarboxamide-adenosine (NECA; 0.1 or 0.3 mg/kg body weight) was intraperitoneally administered to mice that had been fasted for 16 h, total Hcy levels in the serum significantly increased 1 h after its administration. The NECA treatment may have inhibited transsulfuration because glutathione levels were significantly decreased in the liver. After the intraperitoneal administration of a high dose of NECA (0.3 mg/kg body weight), elevations in total Hcy levels in the serum continued for up to 10 h. The mRNA expression of methionine metabolic enzymes in the liver was significantly reduced 6 h after the administration of NECA. NECA-induced elevations in total serum Hcy levels may be maintained in the long term through the attenuated expression of methionine metabolic enzymes.

 

Comments:

  1.  Is level of protein consumption a factor?
  2. Is reliance on plant food products a factor?
  3. What are the levels of transthyretin?
  4. Is there a concomitant decrease in vitamin A or vitamin D?

 

 

The Adenosine Receptor Agonist 5’-N-Ethylcarboxamide-Adenosine Increases Mouse Serum Total Homocysteine Levels, Which Is a Risk Factor for Cardiovascular Diseases

Shigeko Fujimoto Sakata*, Koichi Matsuda, Yoko Horikawa, Yasuto Sasaki     Faculty of Nutrition, Kobe Gakuin University, Kobe, Japan.

http://www.scirp.org/journal/PaperInformation.aspx    DOI: 10.4236/pp.2015.610048

Cite this paper

Sakata, S. , Matsuda, K. , Horikawa, Y. and Sasaki, Y. (2015) The Adenosine Receptor Agonist 5’-N-Ethylcarboxamide-Adenosine Increases Mouse Serum Total Homocysteine Levels, Which Is a Risk Factor for Cardiovascular Diseases. Pharmacology & Pharmacy, 6, 461-470. doi: 10.4236/pp.2015.610048.
An increase in total serum homocysteine levels (total Hcy: serum protein-bound and free Hcy) has been identified as a risk factor for cardiovascular disease [1] [2] and liver fibrosis [3]. The normal range of total Hcy in adults is typically 5 – 15 μM, with the mean level being approximately 10 μM [2]. Plasma Hcy concentrations were previously found to be strongly associated with the presence and number of small infarctions, or infarction of the putamen in elderly diabetic patients [4]. High levels of Hcy have been shown to induce endoplasmic reticulum (ER) stress and increase the production of reactive oxygen species (ROS) [5]. Hcy has strong reducibility and modifies disulfide bonds in proteins. Only 1% to 2% of Hcy occurs as thiol homocysteine in the serum; 75% of Hcy has been suggested to bind to proteins through disulfide bonds with protein cysteines [6]. Hcy is formed as an intermediary in methionine metabolism [7] [8]. Methionine metabolism mainly occurs in the livers of mammals. Methionine receives an adenosine group from ATP to become S-adenosylmethionine (AdoMet) in the methionine cycle. This reaction is catalyzed in the liver by liver-specific methionine adenosyltransferase I/III (MAT I/III), which is encoded by the methionine adenosyltransferase 1A (MAT1A) gene [9]. AdoMet then transfers its methyl group to a large number of compounds, a process that is catalyzed by various methyltransferases (e.g., glycine N-methyltransferase: GNMT; DNA methyltransferase; phosphatidylethanolamine N-methyl- transferase), to produce S-adenosylhomocysteine (AdoHcy). Hcy is formed from AdoHcy by AdoHcy hydrolase (SAHH). The reaction that generates Hcy from AdoHcy is reversible, and AdoHcy from Hcy is shown to be thermodynamically favored over the synthesis of Hcy [10]. A previous study reported that Hcy levels were very low in the liver [11]. This reaction then proceeds toward the synthesis of Hcy when the products (Hcy and adenosine) are removed by further metabolism [12]. Three enzymes metabolize Hcy, with the betaine-homocysteine S-methyltransferase (BHMT) and methionine synthase (MS) reactions both yielding methionine. A large proportion of Hcy in the liver is remethylated by BHMT [3]. The third enzyme, cystathionine β-synthase (CBS) catalyzes Hcy to cystathionine in the transsulfuration pathway. Previous studies of whole body methionine kinetics demonstrated that 62% of Hcy was converted to cystathionine during each cycle in males fed a basal diet, resulting in the production of glutathione (GSH), while 38% of Hcy was remethylated to methionine [13]. Hcy is located at an important regulatory branch point: remethylation to methionine; conversion to cystathionine; export from the cells.
A decrease in intracellular ATP levels, accompanied by the accumulation of 5’-AMP and subsequently adenosine, is known to follow ischemia. Adenosine levels in interstitial fluids were shown to increase 100 – 1000- fold from basal levels (10 – 300 nM) with ischemia [14]. Furthermore, adenosine levels in hepatocytes were increased by a hypoxic challenge, with excess amounts of adenosine being exported out of cells [14]. Adenosine levels were also found to increase 10-fold due to hypoxia, stress, and inflammation [15]. Adenosine has been shown to activate A1, A2a, and A3 receptors with EC50 values in the range of 0.2 – 0.7 μM, and also A2b receptors with an EC50 of 24 μM [16]. A1 and A3 receptors have been classified as adenylate cyclase inhibitory receptors, and A2a and A2b receptors as adenylate cyclase-activating receptors [17]. The activation of adenosine receptors accompanied by ischemia may increase total Hcy levels in the serum because hepatic ischemia is known to decrease the content of GSH and activity of MAT [18].
We previously reported that the non-specific adenosine receptor agonist 5’-N-ethylcarboxamide-adenosine (NECA) increased serum glucose levels and the expression of a glucogenic enzyme (glucose 6-phosphatase) in the liver [19] [20]. Based on the dose of NECA administered in these studies and plasma concentrations after the administration of other adenosine agonists [21], it was inferred that the serum NECA concentration was in the μM range and also that NECA activated adenosine A2b receptors. In the present study, we measured methionine metabolites, including Hcy, in NECA-treated mice in order to determine whether the activation of adenosine receptors increased total Hcy levels in the serum. The results obtained clearly demonstrated that NECA increased total Hcy levels in the serum.
Measurement of Methionine Metabolites AdoMet and AdoHcy levels in the liver were measured using an HPLC method [25] and total GSH in the liver was measured using a microtiter plate assay [26], as described previously [23]. Total Hcy and total cysteine levels (total Cys: free and protein-bound cysteine) in the serum were measured using an HPLC method [27]. Briefly, a mixture of 50 μL of serum, 25 μL of an internal standard, and 25 μL of phosphate-buffered saline (PBS, pH 7.4) was incubated with 10 μL of 100 mg/mL TCEP for 30 min at room temperature in order to reduce and release protein-bound thiols. After this incubation, 90 μL of 100 mg/mL trichloroacetic acid containing 1 mmol/L EDTA was added for deproteinization, centrifuged at 15,000 ×g for 10 min, and 50 μL of the supernatant was added to a tube containing 10 μL of 1.55 mol/L NaOH; 125 μL of 0.125 mol/L borate buffer containing 4 mmol/L EDTA, pH 9.5; and 50 μL of 1 mg/mL SBD-F in the borate buffer. The sample was then incubated for 60 min at 60˚C. HPLC was performed on a Waters M-600 pump equipped with a Waters 2475 Multi λ Fluorescence Detector (385 nm excitation, 515 nm emission). The separation of SBD-derivatized thiols was performed on a μ-BONDASPHERE C18 column (Waters, 5 μm, 100 A, 150 × 3.9 mm) with a 20-μL injection volume and 0.1 mol/L acetate buffer, pH 5.5, containing 30 ml/L methanol as the mobile phase at a flow rate of 1.0 mL/min and column temperature of 29˚C.
3.1. Effects of NECA on Total Hcy and Total Cys Levels in the Serum As shown in Table 1, serum total Hcy and total Cys levels significantly increased after 16 h of fasting. The administration of a low dose of NECA (NECA0.1 group) to mice fasted for 16 h resulted in higher serum total Hcy levels than those in the control group at 1 h (Experiment 1). Serum total Hcy levels were also significantly elevated at 3 h (Experiment 2), but were not significantly different from those in the control group at 6 h (Experiment 3). The administration of a high dose of NECA (NECA0.3 group) resulted in significantly higher serum total Hcy levels than those in the control group at 1 h, 3 h, 6 h, and 10 h (Experiments 4, 5, 6, and 7), gradually increasing Hcy levels to 19.7 μM. The effects of NECA on serum total Cys levels were the same as those on total Hcy levels.
Table 1. Effects of NECA on the content of total homocysteine and total cysteine in the serum.

3.2. Effects of NECA on Other Methionine Metabolite Levels in the Liver We previously reported that fasting for 16 h decreased AdoMet and GSH levels, and increased AdoHcy levels in the livers of mice [23]. In the present study, as shown in Table 2, the administration of a low dose of NECA (NECA0.1 group) to mice fasted for 16 h resulted in lower liver GSH levels than those in the control group at 1 h (Experiment 1). Liver GSH levels were also significantly lower at 3 h (Experiment 2), while GSH levels were not significantly different from those in the control group at 6 h (Experiment 3). The administration of a high dose of NECA (NECA0.3 group) resulted in liver GSH levels that were significantly lower than those in the control group at 1 h, 6 h, and 10 h (Experiments 4, 6, and 7). The effects of NECA on total Hcy levels in the serum and GSH levels in the liver were similar at each dose and time. Furthermore, the low and high doses of NECA both led to significantly higher AdoMet levels than those in the control group at 1 h (Experiments 1 and 4). AdoMet levels at 3 h, 6 h, and 10 h were not significantly different from those in the control group (Experiments 2, 3, 5, 6, and 7). AdoHcy levels were significantly lower in the NECA0.3 group than in the control group 6 h and 10 h after the administration of NECA (Experiments 6 and 7), while the administration of a low dose of NECA had less of an impact on AdoHcy levels.

Table 2. Effects of NECA on the content of methionine metabolites in the liver.

3.3. Effects of NECA on mRNA Expression of Methionine Cycle Enzymes in the Liver Figure 1 shows changes in the mRNA expression of methionine cycle enzymes in Experiments 4, 5, and 6. The expression of methionine cycle enzymes did not significantly change 1 h after the administration of NECA. The expression of MAT1A mRNA was significantly decreased in the liver 6 h after the NECA treatment, while that of MAT2A was increased. The changes observed in the expression of MAT in the present study were consistent with previous findings obtained in ischemic livers [18] or with liver regeneration [28]. The expression of GNMT, which eliminates excess AdoMet, was significantly decreased 6 h after the NECA treatment. The expression of CBS, which converts Hcy to cystathionine through the transsulfuration pathway, and BHMT, which converts Hcy to methionine, was also decreased at 6 h.

Figure 1 shows changes in the mRNA expression of methionine cycle enzymes in Experiments 4, 5, and 6. The expression of methionine cycle enzymes did not significantly change 1 h after the administration of NECA. The expression of MAT1A mRNA was significantly decreased in the liver 6 h after the NECA treatment, while that of MAT2A was increased. The changes observed in the expression of MAT in the present study were consistent with previous findings obtained in ischemic livers [18] or with liver regeneration [28]. The expression of GNMT, which eliminates excess AdoMet, was significantly decreased 6 h after the NECA treatment. The expression of CBS, which converts Hcy to cystathionine through the transsulfuration pathway, and BHMT, which converts Hcy to methionine, was also decreased at 6 h.
Figure 1. Effects of NECA on the mRNA expression of methionine cycle enzymes in the mouse liver. Northern hybridization was performed on the liver RNA of mice in experiments 4, 5, and 6. The mean ± SEM of the ratio of each enzyme mRNA to the level of the 18S rRNA signal is shown as an arbitrary unit. Unpaired Student’s t-tests were used to compare NECA- treated groups with the control groups. *p < 0.05, **p < 0.01: significantly different from each control.
4. Discussion In the present study, an increase in total Hcy levels and AdoMet levels, and decrease in GSH levels occurred 1 h after the NECA treatment. These results were not due to changes in the expression of methionine metabolic enzymes, which remained unchanged 1 h after the NECA treatment (Figure 1). The effects of NECA on methionine metabolism are summarized in Figure 2. No previous study has demonstrated that adenosine has the ability to directly affect CBS; however, the overproduction of carbon monoxide (CO), which is generated by heme oxygenase (HO), is found to inhibit transsulfuration [11]. CO has been shown to inhibit CBS activity and increase AdoMet concentrations [11]. Adenosine and NECA were previously reported to markedly induce HO in macrophages [29]. Hcy, which is a substrate of CBS, may be increased by NECA via the CO-induced inhibition of CBS, and GSH may be decreased by the CO-induced inhibition of transsulfuration. However, the mechanism by which NECA affects transsulfuration in the short term has not yet been elucidated.
Figure 2. Effects of NECA on the methionine metabolic pathway. MAT: methionine adenosyltransferase, GNMT: glycine N-methyltransferase, CBS: cystathionine β-synthase, BHMT: betaine-homocysteine S-methyltransferase, MS: methionine synthase (Map is based on Sakata SF 2005).
GSH was maintained at a low level for up to 10 h by the NECA0.3 treatment and transsulfuration may have been continuously inhibited by the NECA0.3 treatment. Total Hcy levels were also continuously increased for up to 10 h by the NECA0.3 treatment, and decreased AdoHcy levels were observed 6 h and 10 h after the NECA0.3 treatment. Long-term elevations in serum total Hcy levels by NECA may be maintained by attenuating the expression of methionine metabolic enzymes via the following mechanisms: The expression of methionine metabolic enzymes in the liver was reduced 6 h after the NECA0.3 treatment (Figure 1); the flow of the methionine cycle may have been decreased by changes in the expression of MAT (decreased liver-specific MAT1A expression and increased non-liver type MAT2A expression) because MATIII (Km for methionine: 215 μM – 7 mM) is the true liver-specific isoform responsible for methionine metabolism [30] and the generation rate of AdoMet by MATII (non-liver type enzyme) was modest with a low Km (80 μM for methionine) [31]; inhibition of the methyltransferases, BHMT [32] and GNMT [33], induces hyperhomocysteinemia; decreases in AdoHcy levels may be caused by reductions in methyltransferase levels. However, the mechanisms by which NECA continuously increased total Hcy levels have not yet been elucidated in detail. 5. Conclusion The present study confirmed that the non-specific adenosine receptor agonist NECA continuously increased total Hcy levels in the serum. The inhibition of adenosine receptors may decrease the risk of cardiovascular diseases because an increase in serum total Hcy levels is a known risk factor.

References

[1] Antoniades, C., Antonopoulos, A.S., Tousoulis, D., Marinou, K. and Stefanadis, C. (2009) Homocysteine and Coronary Atherosclerosis: from Folate Fortification to the Recent Clinical Trials. European Heart Journal, 30, 6-15.
http://dx.doi.org/10.1093/eurheartj/ehn515
[2] Refsum, H., Ueland, P.M., Nygard, O. and Vollset, S.E. (1998) Homocysteine and Cardiovascular Disease. Annual Review of Medicine, 49, 31-62.
http://dx.doi.org/10.1146/annurev.med.49.1.31
[3] Garcia-Tevijano, E.R., Berasain, C., Rodriguez, J.A., Corrales, F.J., Arias, R., Martin-Duce, A., Caballeria, J., Mato, J.M. and Avila, M.A. (2001) Hyperhomocysteinemia in Liver Cirrhosis: Mechanisms and Role in Vascular and Hepatic Fibrosis. Hypertension, 38, 1217-1221.
http://dx.doi.org/10.1161/hy1101.099499
[4] Araki, A., Ito, H., Majima, Y., Hosoi, T. and Orimo, H. (2003) Association between Plasma Homocysteine Concentrations and Asymptomatic Cerebral Infarction or Leukoaraiosis in Elderly Diabetic Patients. Geriatrics & Gerontology International, 3, 15-23.
http://dx.doi.org/10.1046/j.1444-1586.2003.00051.x
[5] Elanchezhian, R., Palsamy, P., Madson, C.J., Lynch, D.W. and Shinohara, T. (2012) Age-Related Cataracts: Homocysteine Coupled Endoplasmic Reticulum Stress and Suppression of Nrf2-Dependent Antioxidant Protection. Chemico-Biological Interactions, 200, 1-10.
http://dx.doi.org/10.1016/j.cbi.2012.08.017
[6] Mudd, S.H., Finkelstein, J.D., Refsum, H., Ueland, P.M., Malinow, M.R., Lentz, S.R., Jacobsen, D.W., Brattstrom, L., Wilcken, B., Wilcken, D.E., Blom, H.J., Stabler, S.P., Allen, R.H., Selhub, J. and Rosenberg, I.H. (2000) Homocysteine and Its Disulfide Derivatives: A Suggested Consensus Terminology. Arteriosclerosis Thrombosis and Vascular Biology, 20, 1704-1706.
http://dx.doi.org/10.1161/01.ATV.20.7.1704
[7] Finkelstein, J.D. (1990) Methionine Metabolism in Mammals. The Journal of Nutritional Biochemistry, 1, 228-237.
http://dx.doi.org/10.1016/0955-2863(90)90070-2
[8] Stipanuk, M.H. (2004) Sulfur Amino Acid Metabolism: Pathways for Production and Removal of Homocysteine and Cysteine. Annual Review of Nutrition, 24, 539-577.
http://dx.doi.org/10.1146/annurev.nutr.24.012003.132418
[9] Chou, J.Y. (2000) Molecular Genetics of Hepatic Methionine Adenosyltransferase Deficiency. Pharmacology & Therapeutics, 85, 1-9.
http://dx.doi.org/10.1016/s0163-7258(99)00047-9
[10] De La Haba, G. and Cantoni, G.L. (1959) The Enzymatic Synthesis of S-Adenosyl-L-Homocysteine from Adenosine and Homocysteine. The Journal of Biological Chemistry, 234, 603-608.
http://www.jbc.org/content/234/3/603.short

…. more

 

 

Read Full Post »

targeting of GSK-3α and GSK-3β

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

 

4′-((5-(2,3-Dihydrobenzo[b][1,4]dioxin-6-yl)-1,3,4-oxadiazol-2-yl-thio)-methyl)-4-fluorobiphenyl-2-carboxamide

by DR ANTHONY MELVIN CRASTO Ph.D

str1

 

Cas 1820758-44-8

C24 H18 F N3 O4 S

4′-((5-(2,3-Dihydrobenzo[b][1,4]dioxin-6-yl)-1,3,4-oxadiazol-2-yl-thio)-methyl)-4-fluorobiphenyl-2-carboxamide

https://pharmaceuticalintelligence.com/wp-admin/post-new.php

 

Glycogen synthase kinase-3 (GSK-3) is a constitutively active, ubiquitous serine/threonine kinase that takes part in a number of physiological processes ranging from glycogen metabolism to apoptosis. GSK-3 is a key mediator of various signaling pathways, such as the Wnt and the insulin/AKT signaling pathways.

Therefore, dysregulation of GSK-3 has been linked to various human diseases, such as cancer, diabetes, and neurodegenerative diseases.Two related isoforms of GSK-3 exist in mammals, GSK-3α and -β, which share a sequence identity within their catalytic domains of 98%.

Beyond the catalytic domains they show significant differences. Although these isoforms are structurally related, they are not functionally equivalent, and one cannot compensate for loss of the other.

The debate on the respective contributions of the isoforms GSK-3α and GSK-3β on the pathogenesis of different diseases is ongoing.

Various studies indicate that the therapies of certain diseases benefit from specific targeting of GSK-3α and GSK-3β. GSK-3α was recently identified as a differentiation target in acute myeloid leukemia (AML). AML is a hematopoietic malignancy defined by uncontrolled proliferation and disrupted myeloid differentiation. AML is the second most common form of leukemia in adults.

The current treatment of AML with conventional chemotherapy is very aggressive yet ineffective for the majority of patients with the disease.Thus, alternative targeted treatment approaches for AML are highly desirable. GSK-3α recently emerged as a potential target in this disease.

Abstract Image

http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/jmcmar/0/jmcmar.ahead-of-print/acs.jmedchem.5b01200/20151105/images/medium/jm-2015-01200x_0015.gif

 

The challenge for glycogen synthase kinase-3 (GSK-3) inhibitor design lies in achieving high selectivity for one isoform over the other. The therapy of certain diseases, such as acute myeloid leukemia (AML), may require α-isoform specific targeting. The scorpion shaped GSK-3 inhibitors developed by our group achieved the highest GSK-3α selectivity reported so far but suffered from insufficient aqueous solubility. This work presents the solubility-driven optimization of our isoform-selective inhibitors using a scorpion shaped lead. Among 15 novel compounds, compound 27 showed high activity against GSK-3α/β with the highest GSK-3α selectivity reported to date. Compound 27was profiled for bioavailability and toxicity in a zebrafish embryo phenotype assay. Selective GSK-3α targeting in AML cell lines was achieved with compound 27, resulting in a strong differentiation phenotype and colony formation impairment, confirming the potential of GSK-3α inhibition in AML therapy.

Evaluation of Improved Glycogen Synthase Kinase-3α Inhibitors in Models of Acute Myeloid Leukemia

Clemens Schöpf Institute of Organic Chemistry and Biochemistry, Technische Universität Darmstadt, 64287 Darmstadt, Germany
Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts 02215, United States
J. Med. Chem., Article ASAP
Publication Date (Web): October 23, 2015   Copyright © 2015 American Chemical Society

http://pubs.acs.org/doi/abs/10.1021/acs.jmedchem.5b01200

http://pubs.acs.org/doi/suppl/10.1021/acs.jmedchem.5b01200/suppl_file/jm5b01200_si_001.pdf

compound 27 as a colorless solid. HPLC: 96%, tR = 6.93 min.

1H NMR (DMSO-d6, 500 MHz, 300 K): δ (ppm) = 4.32 (td, J = 5.2 Hz, J = 3.7 Hz, 4H), 4.60 (s, 2H), 7.05 (d, J = 8.4 Hz, 1H), 7.25 (dd, J = 9.1 Hz, J = 2.7 Hz, 1H), 7.31 (td, J = 8.6 Hz, J = 2.8 Hz, 1H), 7.38 (m, 3H), 7.41 (d, J = 2.0 Hz, 1H), 7.45 (dd, J = 8.4 Hz, J = 2.1 Hz, 1H), 7.49 (d, J = 8.2 Hz, 2H), 7.73 (s, 1H).

13C NMR (DMSO, 125 MHz, 300 K): δ (ppm) = 35.6, 64.1, 64.4, 114.3 (d, JC–F = 21 Hz), 115.0, 115.9 (d, JC–F = 21 Hz), 115.9, 118.1, 120.0, 128.6 (2C), 128.8 (2C), 132.0 (d, JC–F = 8 Hz), 134.8, 135.5, 138.9, 139.0 (d, JC–F = 7 Hz), 143.8, 146.7, 160.9 (d, JC–F = 247 Hz), 162.7, 164.9, 169.5.

EI-MS: m/z = 463 (100, [M+]), 464 (26, [M+ + H]), 465 (7, [M+ + 2H].

 

 

Read Full Post »

Biomarker Development

Biomarker Development, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)

Biomarker Development

Curator: Larry H. Bernstein, MD, FCAP

 

 

NBDA’s Biomarker R&D Modules

http://nbdabiomarkers.org/

“collaboratively creating the NBDA Standards* required for end-to-end, evidence – based biomarker development to advance precision (personalized) medicine”

http://nbdabiomarkers.org/sites/all/themes/nbda/images/nbda_logo.jpg

http://nbdabiomarkers.org/about/what-we-do/pipeline-overview/assay-development

 

Successful biomarkers should move systematically and seamlessly through specific R&D “modules” – from early discovery to clinical validation. NBDA’s end-to-end systems approach is based on working with experts from all affected multi-sector stakeholder communities to build an in-depth understanding of the existing barriers in each of these “modules” to support decision making at each juncture.  Following extensive “due diligence” the NBDA works with all stakeholders to assemble and/or create the enabling standards (guidelines, best practices, SOPs) needed to support clinically relevant and robust biomarker development.

Mission: Collaboratively creating the NBDA Standards* required for end-to-end, evidence – based biomarker development to advance precision (personalized) medicine.
NBDA Standards include but are not limited to: “official existing standards”, guidelines, principles, standard operating procedures (SOP), and best practices.

https://vimeo.com/83266065

 

“The NBDA’s vision is not to just relegate the current biomarker development processes to history, but also to serve as a working example of what convergence of purpose, scientific knowledge and collaboration can accomplish.”

NBDA Workshop VII – “COLLABORATIVELY BUILDING A FOUNDATION FOR FDA BIOMARKER QUALIFICATION”
NBDA Workshop VII   December 14-15, 2015   Washington Court Hotel, Washington, DC

The upcoming meeting was preceded by an NBDA workshop held on December 1-2, 2014, “The Promising but Elusive Surrogate Endpoint:  What Will It Take?” where we explored in-depth with FDA leadership and experts in the field the current status and future vison for achieving success in surrogate endpoint development.  Through panels and workgroups, the attendees extended their efforts to pursue the FDA’s biomarker qualification pathway through the creation of sequential contexts of use models to support qualification of drug development tools – and ultimately surrogate endpoints.

Although the biomarker (drug development tools) qualification pathway (http://www.fda.gov/Drugs/DevelopmentApprovalProcess/DrugDevelopmentTools…) represents an opportunity to increase the value of predictive biomarkers, animal models, and clinical outcomes across the drug (and biologics) development continuum, there are myriad challenges.  In that regard, the lack of evidentiary standards to support contexts of use-specific biomarkers emerged from the prior NBDA workshop as the major barrier to achieving the promise of biomarker qualification.  It also became clear that overall, the communities do not understand the biomarker qualification process; nor do they fully appreciate that it is up to the stakeholders in the field (academia, non-profit foundations, pharmaceutical and biotechnology companies, and patient advocate organizations) to develop these evidentiary standards.

This NBDA workshop will feature a unique approach to address these problems.  Over the past two years, the NBDA has worked with experts in selected disease areas to develop specific case studies that feature a systematic approach to identifying the evidentiary standards needed for sequential contexts of use for specific biomarkers to drive biomarker qualification.   These constructs, and accompanying whitepapers are now the focus of collaborative discussions with FDA experts.

The upcoming meeting will feature in-depth panel discussions of 3-4 of these cases, including the case leader, additional technical contributors, and a number of FDA experts.  Each of the panels will analyze their respective case for strengths and weaknesses – including suggestions for making the biomarker qualification path for the specific biomarker more transparent and efficient. In addition, the discussions will highlight the problem of poor reproducibility of biomarker discovery results, and its impact on the qualification process.

 

Health Care in the Digital Age

Mobile, big data, the Internet of Things and social media are leading a revolution that is transforming opportunities in health care and research. Extraordinary advancements in mobile technology and connectivity have provided the foundation needed to dramatically change the way health care is practiced today and research is done tomorrow. While we are still in the early innings of using mobile technology in the delivery of health care, evidence supporting its potential to impact the delivery of better health care, lower costs and improve patient outcomes is apparent. Mobile technology for health care, or mHealth, can empower doctors to more effectively engage their patients and provide secure information on demand, anytime and anywhere. Patients demand safety, speed and security from their providers. What are the technologies that are allowing this transformation to take place?

 

https://youtu.be/WeXEa2cL3oA    Monday, April 27, 2015  Milken Institute

Moderator


Michael Milken, Chairman, Milken Institute

 

Speakers


Anna Barker, Fellow, FasterCures, a Center of the Milken Institute; Professor and Director, Transformative Healthcare Networks, and Co-Director, Complex Adaptive Systems Network, Arizona State University
Atul Butte, Director, Institute of Computational Health Sciences, University of California, San Francisco
John Chen, Executive Chairman and CEO, BlackBerry
Victor Dzau, President, Institute of Medicine, National Academy of Sciences; Chancellor Emeritus, Duke University
Patrick Soon-Shiong, Chairman and CEO, NantWorks, LLC

 

Mobile, big data, the Internet of Things and social media are leading a revolution that is transforming opportunities in health care and research. Extraordinary advancements in mobile technology and connectivity have provided the foundation needed to dramatically change the way health care is practiced today and research is done tomorrow. While we are still in the early innings of using mobile technology in the delivery of health care, evidence supporting its potential to impact the delivery of better health care, lower costs and improve patient outcomes is apparent. Mobile technology for health care, or mHealth, can empower doctors to more effectively engage their patients and provide secure information on demand, anytime and anywhere. Patients demand safety, speed and security from their providers. What are the technologies that are allowing this transformation to take place?

Read Full Post »

 

FDA Guidance Documents Update

Reporter: Stephen J. Williams, Ph.D.

You are subscribed to FDA Guidance Documents for U.S. Food & Drug Administration (FDA).

This information has recently been updated and is now available.

Recently posted guidance documents

10/14/15: General Considerations for Animal Studies for Medical Devices – Draft Guidance for Industry and Food and Drug Administration Staff

10/14/15: Recommendations for Microbial Vectors Used for Gene Therapy; Draft Guidance for Industry

10/15/15: Draft PDEs for Triethylamine and for Methylisobutylketone

10/15/15: ICH Q3C Maintenance Procedures for the Guidance for Industry Q3C Impurities: Residual Solvents

10/19/15: CVM GFI #229 – Evaluating the Effectiveness of New Animal Drugs for the Reduction of Pathogenic Shiga Toxin-Producing E. coli in Cattle

10/21/15: Selection of the Appropriate Package Type Terms and Recommendations for Labeling Injectable Medical Products Packaged in Multiple-Dose, Single-Dose, and Single-Patient-Use Containers for Human Use

10/21/15: Manufacturing Site Change Supplements: Content and Submission – Draft Guidance for Industry and Food and Drug Administration Staff

10/26/15: Interim Policy on Compounding Using Bulk Drug Substances Under Section 503A of the Federal Food, Drug, and Cosmetic Act Guidance for Industry

10/26/15: Interim Policy on Compounding Using Bulk Drug Substances Under Section 503B of the Federal Food, Drug, and Cosmetic Act

10/26/15: Pharmacy Compounding of Human Drug Products Under Section 503A of the Federal Food, Drug, and Cosmetic Act Guidance

10/27/15: Nonclinical Safety Evaluation of Reformulated Drug Products and Products Intended for Administration by an Alternate Route

10/27/15: Product Development Under the Animal Rule

10/28/15: DSCSA Implementation: Product Tracing Requirements for Dispensers — Compliance Policy (Revised) Guidance for Industry

10/29/15: Liposome Drug Products: Chemistry, Manufacturing, and Controls; Human Pharmacokinetics and Bioavailability; and Labeling Documentation

Guidance Document Search

•    Search all FDA official guidance documents and other regulatory guidance

Read Full Post »

GEN Tech Focus: Rethinking Gene Expression Analysis, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)

GEN Tech Focus: Rethinking Gene Expression Analysis

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

Quantitating gene expression is essential for researchers to answer important biological questions about basic cellular functions, as well as disease states. In the following articles you will discover the multitude of advances investigators have made to accurately measure and quantitate genetic transcripts within the cell.

Diverse Pathways to Drug Targets

A great deal of research on pathway analysis is currently focusing on RNA rather than proteins, and the complex RNA networks that regulate gene expression. With the realization that more than 90% of the genome that is transcribed into RNA is not translated into protein, and the growing numbers of naturally occurring microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) being identified and characterized, the important role these RNAs play in normal biological processes and across human diseases is becoming increasingly clear.

 

The Gene-Expression Undergrowth Have Been Well Trodden, but RNA Paths Want Wear, Too

  • Hepatitis C virus depends on a functional interaction between its genome and miR-122 for viral stability and replication. Researchers recently used an antisense oligonucleotide that targets the liver-specific microRNA miR-122, blocking its function. [Bluebay2014/Fotolia]

    A great deal of research on pathway analysis is currently focusing on RNA rather than proteins, and the complex RNA networks that regulate gene expression.

    With the realization that more than 90% of the genome that is transcribed into RNA is not translated into protein, and the growing numbers of naturally occurring microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) being identified and characterized, the important role these RNAs play in normal biological processes and across human diseases is becoming increasingly clear.

    This knowledge—combined with the available technology and strategies to decipher RNA pathways and link alterations in the levels or activity of miRNAs or lncRNAs to gene expression, epigenetic mechanisms, and protein activity in normal and disease phenotypes—is driving the development and clinical testing of novel drug targets and therapeutics that target regulatory RNAs.

    For example, a microRNA was targeted in a Phase II clinical study that assessed the effect of miravirsen, an antisense oligonucleotide, in patients with hepatitis C. The study, which was described in 2013 in the New England Journal of Medicine, indicated that miravirsen sequesters the liver-specific microRNA miR-122 in a highly stable heteroduplex, thereby inhibiting its function.

    Hepatitis C virus (HCV) depends on a functional interaction between its genome and miR-122 for viral stability and replication. According to the study, inhibition of miR-122 in HCV-infected patients was associated with decreased levels of HCV RNA that continued beyond the treatment period, without evidence of viral resistance.

    The therapeutic potential of regulatory RNAs is also being assessed in other conditions such as cancer. Specifically, miRNAs and other ncRNAs in cancer initiation, progression, and metastasis are being studied by George Calin, M.D., Ph.D., a professor of experimental therapeutics, MD Anderson Cancer Center, University of Texas. Dr. Calin’s group is scouring the “microRNAome” to identify miRNAs of about 21–22 nucleotides that can serve as reliable biomarkers for cancer diagnosis and to guide decision-making in patient management, including as predictors of survival and response to drug therapy.

    miRNAs are involved in every aspect of tumorigenesis, cancer progression, and dissemination. Not only are they expressed in tumor cells, they are also stably expressed in exosomes and are present in various bodily fluids, where they can act like hormones and signaling molecules. Comparative profiling of these fluids for differences in miRNA levels between patients with and without cancer could identify relevant biomarkers.

     

    Analyzing RNA Pathways

  • Using Qiagen’s Ingenuity Pathway Analysis, researchers can analyze relationships between molecules and diseases of interest by modeling how gene expression patterns affect functional outcomes or disease processes.

     

     

     

     

     

     

     

     

     

    Dr. Calin and colleagues have described the significance of miRNA signatures obtained in recent studies involving miRNA profiling of human tumors. An overview appeared 2014 in CA: A Cancer Journal for Clinicians (“MicroRNAome genome: a treasure for cancer diagnosis and therapy”). Also, last February, Dr. Calin gave an account of his group’s work at the Molecular Med Tri Conference in San Francisco.

    Technology is not holding back advances in the field of RNA pathway analysis according to Dr. Calin. The main bottleneck at present is in the design of prospective studies needed to confirm the predictive value of miRNA-based biomarkers.

    Dr. Calin points to two other key challenges that scientists currently face in translating research findings into diagnostic, prognostic, and therapeutic tools. One is the difficulty in selecting an miRNA target, mainly because an individual miRNA could have a role in regulating tens, hundreds, or even thousands of protein-coding genes. For drug discovery, the aim is to identify miRNAs that affect a single pathway of interest to help limit off-target effects. The need for novel delivery systems for RNA-targeted drugs is another key challenge.

    At the Molecular Med Tri Conference, Jean-Noel Billaud, Ph.D., principal scientist at Qiagen Bioinformatics, presented a case study demonstrating how the company’s Ingenuity Pathway Analysis technology can be used to conduct a systems biology analysis to identify the pathways, potential upstream regulators, and downstream outcomes involved in the host response to West Nile Virus (WNV) infection. Dr. Billaud also discussed how to interpret the results from a biological perspective.

    In his presentation, Dr. Billaud described the first step in this analytical process as the acquisition of RNA sequence data using next-generation sequencing techniques for the purpose of characterizing and quantifying differential gene expression between an infected and uninfected cell. The CLC Cancer Research Workbench tool is used to process the sequence data, and the results are imported directly into the IPA system.

    Analysis of differential gene expression aims to answer a series of key questions, including the following: What metabolic and/or signaling pathway(s) is activated or inhibited? Is there an overlap of the genes or pathways that are activated or inhibited? What are the potential upstream, downstream, functional, and phenotypic implications of this pathway activation or inhibition?

    Dr. Billaud described other questions researchers might attempt to answer through the use of IPA: What are the identifying the underlying transcriptional programs? Which biological processes are involved and in what way? Are there splice variants of interest? What type of regulation is involved?

    In the WNV case study, IPA predicted activation of the interferon signaling pathway and added statistically and functionally relevant biological processes to the WNV-related biochemical network the system developed. IPA is able to simulate the effects of interferon pathway activation on neighboring molecules and processes, which enables broader modeling of antiviral responses, prediction of the effects on viral replication, and identification of upstream transcriptional regulators of antiviral and related anti-inflammatory processes, for example.

    These data and analytical capabilities may allow researchers to propose new hypotheses that connect molecules in regulatory networks to disease-related pathways in a predictive way, leading to the identification of a “master regulator” that could serve as a disease-specific drug target, according to Dr. Billaud.

    In the WNV example, he described the use of the Molecule Activity Predictor (MAP) function in IPA to test the hypothesis that CLEC7A is a host susceptibility factor required by WNV to stimulate an immune response in the brains of infected patients, contributing to the development of life-threatening encephalitis. The MAP function simulates the inhibition or downregulation of CLEC7A, showing how it would likely reduce the risk of WNV-associated encephalitis. These types of hypotheses would then need to be tested and validated.

    Pathways Driving B-Cell Differentiation

    • Robert C. Rickert, Ph.D., professor and director of the Tumor Microenvironment and Metastasis Program at Sanford-Burnham Medical Research Institute, is using conditional gene targeting to identify the genes and biochemical pathways that play a role at specific stages of B-cell differentiation. With this approach, it is possible to knock out targeted genes in a mouse at different stages of B-cell development, and to do so in an inducible fashion, allowing you “to look at how it affects different signal transduction pathways in a context-specific manner,” says Dr. Rickert.

      When applied to a relevant mouse model of disease—such as a B-cell lymphoma—this inducible genetic system should yield effects similar to those that could be obtained with a drug capable of blocking the activity of the targeted gene product. Dr. Rickert and colleagues are exploring the similarity between the effects achieved with conditional gene targeting and those of recently approved drugs to treat chronic lymphocytic leukemia (CLL) and some forms of lymphoma such as idelalisib and ibrutinib, which are both inhibitors of the B-cell receptor pathway via blocking of PI3K or Bruton’s tyrosine kinase (BTK), respectively.

      Dr. Rickert presented his group’s latest research at a Keystone Symposium Conference, PI 3-Kinase Signaling Pathways in Disease, which took place last January in Vancouver. In his talk, Dr. Rickert emphasized that the phosphatidyl inositol-3 kinase (PI3K) pathway is a major regulator B lymphocyte differentiation and function.

      Dr. Rickert has also applied conditional gene targeting to compare the roles of the NFκB and PI3K pathways in B-cell maturation. He has shown that while both pathways are essential at some stages of B-cell differentiation, only one pathway may be necessary for B-cell maintenance and survival.

      “Ultimately we want to gain more insight at the biochemical level into single cells and the heterogeneity of the cell populations we’re interested in,” says Dr. Rickert. Tumors and cancer cell populations are quite heterogeneic, and better biochemical tools are needed to be able to sort through these populations of cells and “look at some of the more interesting, rogue cells, such as cancer stem cells,” he adds.

    An Evolutionary Approach

    In his laboratory at Hebrew University of Jerusalem, researcher Yuval Tabach, Ph.D., is using computational tools to analyze and compare the genomes and proteins of hundreds of species to identify evolutionary patterns of conservation and loss that point to connections between molecular pathways and disease.

    “The main power of this phylogenetic profiling approach is that if you look at proteins across evolution, some are lost at certain points in certain species,” says Dr. Tabach. For example, proteins involved in the tricarboxylic acid (TCA) cycle have been highly conserved across some species, but have disappeared in others because those species have lost their mitochondria.

    Dr. Tabach and colleagues have shown that sets of genes associated with particular diseases have similar phylogenetic profiles. They are also using this approach to identify genes associated with longevity, cancer resistance, and various extreme environmental conditions.

    Phylogenetic profiling to connect patterns of conservation and loss across millions of years of evolution can be applied to entire proteins, protein domains, and RNA molecules such as microRNAs. The potential applicability of this approach to drug discovery and development is multifaceted.

    For example, given a gene known to be related to a certain disease, the ability to identify other genes with a similar phylogenetic profile might reveal genetic factors that could explain incomplete penetrance or the variability of disease severity in different affected individuals. Alternatively, identification of a candidate gene in one patient could serve as the basis for identifying other key factors in other patients with the same disease using the phylogenetic profile.

    Compared to strategies such as gene expression analysis or protein-protein interaction mapping for identifying disease-related genes, phylogenetic profiling “is much faster” and will become an increasingly powerful tool as the genome sequences of more species become available, explains Dr. Tabach.

    The Israeli start-up company ReThink Pharmaceuticals is using the molecular networks generated through this phylogenetic profiling work for the purpose of drug repositioning. “If you know that a certain drug targets a gene, we can build a network to find other genes/proteins that interact with the drug target,” asserts Dr. Tabach, citing preliminary results that demonstrate the ability to predict additional effects of a drug candidate.

     

 

Measuring siRNA-mediated Knockdown of the IL-8 gene Using the QuantiGene Singleplex Assay

A critical component of RNA interference (RNAi) studies is the validation of gene expression inhibition. RNAi experiments have many sources of variation that make accurate quantitation of target mRNA difficult when qPCR is used. Variation in the potency and stability of short interfering RNA (siRNA), coupled with differences in transfection efficiency and protein turnover, results in varying gene knockdown efficiency.

 

The RNA World Expands

Over the past 10 years, scientists say new methods, including deep sequencing and DNA tiling arrays, have enabled the identification and characterization of the human transcriptome. These techniques completely changed our understanding of genome organization and content and revealed that a much larger part of the human genome is transcribed into RNA than was previously assumed—about 70%.

The RNA World Expands  

Long noncoding RNAs mean more than HOTAIR.

The RNA World Expands

Long noncoding RNA (lncRNAs) can regulate gene expression at epigenetic, transcriptional, and post-transcriptional levels. [© Alila Medicinal Media – Fotolia.com]

  • Over the past 10 years, scientists say new methods, including deep sequencing and DNA tiling arrays, have enabled the identification and characterization of the human transcriptome. These techniques completely changed our understanding of genome organization and content and revealed that a much larger part of the human genome is transcribed into RNA than was previously assumed—about 70%.

    Last year researchers, including Tim Mercer, Ph.D., at the Institute for Molecular Bioscience-University of Queensland, Roche Nimblegen, and John Rinn, Ph.D., and his team in the department of stem cell and regenerative biology at Harvard, reported that “transcriptomic analyses have revealed an ‘unexpected complexity’ to the human transcriptome, the depth and breadth of which exceeds current RNA sequencing capability.”

    These scientists used these techniques to identify and characterize unannotated transcripts whose rare or transient expression is below the detection limits of conventional sequencing approaches. The data also show that intermittent sequenced reads observed in conventional RNA sequencing datasets, previously dismissed as noise, are indicative of unassembled rare transcripts. Collectively, they say these results reveal the range, depth, and complexity of a human transcriptome that is far from fully characterized.

    Noncoding transcripts are RNA molecules that include classical “housekeeping” RNAs such as transfer RNAs (tRNAs), ribosomal RNAs (rRNAs), small nuclear RNAs (snRNAs), and small nucleolar RNAs (snoRNAs), which are constitutively expressed and play critical roles in protein biosynthesis.

    Among these noncoding RNAs are numerous long noncoding RNAs (lncRNAs), which are defined as endogenous cellular RNAs of more than 200 nucleotides in length that lack an open reading frame of significant length (less than 100 amino acids). The RNA molecules constitute a heterogeneous group, allowing them, scientists point out, to cover a broad spectrum of molecular and cellular functions by implementing different modes of action. lncRNAs are roughly classified based on their position relative to protein-coding genes as intergenic (between genes), intragenic/intronic (within genes), and antisense. Initial efforts to characterize these molecules demonstrated that they function in cis, regulating their immediate genomic neighbors.

    Regulatory Levels

  • lncRNAs can regulate gene expression at epigenetic, transcriptional, and post-transcriptional levels and take part in various physiological and pathological processes, such as cell development, immunity, oncogenesis, clinical disease processes, and more. A classic lncRNA, HOTAIR, was originally identified through work done by Howard Chang, M.D., Ph.D., at Stanford, and Dr. Rinn. Their research eventually led to the discovery of this 2.2 kilobase spliced RNA transcript that interacts with Polycomb group proteins to modify chromatin and repress transcription of the human HOX genes, which regulate development. It remains unclear as to exactly this is accomplished.

    HOTAIR, it was found, originates from the HOXC locus and represses transcription across 40 kb of that locus by altering the chromatin trimethylation state. Hox genes, a highly conserved subgroup of the homeobox superfamily, regulate numerous processes including apoptosis, receptor signaling, differentiation, motility, and angiogenesis. Aberrations in Hox gene expression have been reported in abnormal development and malignancy.

    HOTAIR works to repress Hox gene expression by directing the action of Polycomb chromatin remodeling complexes in trans to govern the cells’ epigenetic state and subsequent gene expression.HOTAIR expression is increased in primary breast tumors and metastases and its expression level in primary tumors can predict eventual metastasis and death. The recent discovery that lncRNA HOTAIRcan link chromatin changes to cancer metastasis furthers the relevance of lncRNAs to human disease.

    Dr. Chang and his colleagues say that the finding that several lncRNAs can control transcriptional alteration implies that the difference in lncRNA profiling between normal and cancer cells is not merely the secondary effect of cancer transformation, and that lncRNAs are strongly associated with cancer progression. The researchers showed that lncRNAs in the HOX loci become systematically dysregulated during breast cancer progression.

    They further demonstrated that enforced expression of HOTAIR in epithelial cancer cells induced genome-wide retargeting of polycomb repressive complex 2 (PRC2) to an occupancy pattern more resembling embryonic fibroblasts, leading to altered histone H3 lysine 27 methylation, gene expression, and increased cancer invasiveness and metastasis in a manner dependent on PRC2.

    On the other hand they noted loss of HOTAIR can inhibit cancer invasiveness, particularly in cells that possess excessive PRC2 activity. These findings indicate that lncRNAs have active roles in modulating the cancer epigenome and may be important targets for cancer diagnosis and therapy. Thus, the investigators say, differential expression of lncRNAs may be profiled to aid in cancer diagnosis and prognosis and in the selection of potential therapeutics.

    Two years ago the GENCODE consortium, within the framework of the ENCODE project, presented, and analyzed the most complete human lncRNA annotation to date. The data comprise 9,277 manually annotated genes producing 14,880 transcripts. The identification and annotation of this wealth of lncRNAs leaves scientists with a lot of research to do to fully characterize the varied functions of these unusual RNAs. Their identification also challenges technology developers to produce the tools to necessary for these analyses.

     

Transcript Regulation of 18 ADME Genes by Prototypical Inducers in Human Hepatocytes

Drug-drug interactions (DDIs) are of particular concern for regulatory agencies and the pharmaceutical industry for drug safety. Induction of drug metabolizing enzymes by pharmaceuticals, nutraceuticals, and lifestyle influences is one type of DDI in which the influence of a perpetrator molecule increases the enzyme capacity that can metabolize a victim molecule, rendering it ineffective as a therapy. To evaluate this potential, screening assays have been developed, such as the use…

 

Biomarkers Reshape Drug Development

Biomarkers defining specific phenotypes are becoming increasingly important for developing new drugs for specific patient subpopulations. The value of a new biomarker is measured by its ability to reduce risk. Ideally, the biomarker should be developed in parallel with the new drug, as nearly 50% of the projected development costs can be saved by…

Biomarkers Reshape Drug Development

  • Imanova takes a structured approach to the development of imaging biomarkers, or i-biomarkers.

    Biomarkers defining specific phenotypes are becoming increasingly important for developing new drugs for specific patient subpopulations. The value of a new biomarker is measured by its ability to reduce risk.

    Ideally, the biomarker should be developed in parallel with the new drug, as nearly 50% of the projected development costs can be saved by shutting down a development program before it enters Phase II. A meaningful risk-benefit analysis of a biomarker requires estimates of its cost and accuracy, as well as the consequences of decisions that it will enable.
    For the biomarker to be of value, the cost of its development has to be less than the projected costs of development from Phase II onwards, discounted to present time. While multiple competing business considerations affect a pharmaceutical company’s decision to proceed with a biomarker program, the skyrocketing market for biomarker discovery underscores the pharmaceutical industry’s hope that biomarkers will bolster the success rates of pipeline products.
    “Imaging biomarkers have been Ideally, the biomarker should be developed in parallel with the new drug, as nearly 50% of the projected development costs can be saved by shutting down a development program before it enters Phase II. A meaningful risk-benefit analysis of a biomarker requires estimates of its cost and accuracy, as well as the consequences of decisions that it will enable.

    Ideally, the biomarker should be developed in parallel with the new drug, as nearly 50% of the projected development costs can be saved by shutting down a development program before it enters Phase II. A meaningful risk-benefit analysis of a biomarker requires estimates of its cost and accuracy, as well as the consequences of decisions that it will enable.

    For the biomarker to be of value, the cost of its development has to be less than the projected costs of development from Phase II onwards, discounted to present time. While multiple competing business considerations affect a pharmaceutical company’s decision to proceed with a biomarker program, the skyrocketing market for biomarker discovery underscores the pharmaceutical industry’s hope that biomarkers will bolster the success rates of pipeline products.

    “Imaging biomarkers have been largely underutilized in drug development,” says Kevin Cox, Ph.D., CEO of London-based Imanova. “But we believe that molecular imaging has the power to assist in successful translation of molecules by reducing the risk of several specific causes of failure in Phase II clinical studies. Imaging biomarkers, or i-biomarkers, are especially valuable in giving confidence of tissue delivery, determination of target engagement, and the evaluation of a drug’s pharmacodynamic effects.”

    While imaging is routinely used in clinical diagnostics for cancer, its acceptance in drug development has been slow. “This is a highly specialized area of knowledge,” Dr. Cox observes. “Designing imaging experiments to answer the right questions is not trivial. Combined with the perceived high costs and dearth of well-equipped facilities, this has slowed down the adoption of imaging as an integral step in drug development.”

    Imanova presents an innovative and highly integrated solution in reducing the barriers for use of molecular imaging. Located in the former GlaxoSmithKline imaging center, Imanova’s staff applies the knowledge needed for translational application of imaging science.

    “Another historical barrier for use of molecular imaging has been the lack of versatile PET tracers for key therapeutic targets,” remarks Dr. Cox. Together with its pharmaceutical clients, Imanova develops proprietary tracers that can answer critical questions about target engagement directly after drug administration. A structured approach for i-biomarker development takes the novel tracer from the candidate pool to clinical validation.

    Uniquely, Imanova utilizes in silico biomathematical modeling to predict a candidate with ideal physicohemical characteristics. “The i-biomarker development pipeline adheres to a strict quality system,” continues Dr. Cox. “We not only provide candidate selection and labeling, but also rigorous preclinical evaluation in several species, combined with blood chemistry or other physiological measurements.”

    The resulting biomarker provides quantitative information to make informed go/no-go decisions. Imanova hopes to develop an open innovation approach to i-biomarker research, and to encourage pharmaceutical companies to collaborate on tracer development.

    “By collaborating in this pre-competitive space, a pharma-academic consortium can de-risk i-biomarker development programs and generate new tools to eliminate costs associated with futile activities downstream,” concludes Dr. Cox. “Most tracers need to be utilized early in the drug development process. Used at the right time, imaging biomarkers are able to inform the design of Phase II studies, including dose ranging and possibly patient selection, saving many months in development and millions of dollars in costs.”

    Answers from Big Data

  • “Clinical bioinformatics is the application of a data-driven, high-tech approach in clinical setting,” says Jerome Wojcik, Ph.D., CEO of Quartz Bio, a clinical bioinformatics service provider located in Plan-Les-Ouates, Switzerland. “We use clinical bioinformatics to adapt treatment to patients, that is, to identify cohorts that respond to the drug in a predictable manner,” says Dr. Wojcik.

    Pharmaceutical partners supply Quartz Bio with data collected in a course of clinical trials. The data (which may include information from protein and RNA expression, genotyping, molecular diagnostics, and flow cytometry studies) often exists in silos within a pharma company. To make sense of the data, Quartz Bio integrates heterogeneously formatted data, analyzes it for consistency, and identifies gaps and outliers.

    Dr. Wojcik’s team dedicates over 40% of the overall analysis time to the biomarker data management. This key step is crucial for the quality of the overall analysis. According to Quartz Bio, all the data-management processes are documented, auditable, and reproducible.

    Once the “Big Data” horde is adequately cleaned up, the team applies adaptive statistical methods to generate multiple hypotheses linking the drug action with subpopulations of patients. “Our challenge is to generate reliable hypotheses on a fairly small statistical patient sample, for example, a thousand patients, but using millions of biomarker datapoints,” continues Dr. Wojcik. “We do not rely on statistics alone. Graphical visualization adapted to the objectives of the study is necessary for interpretation of results.”

    In a recent project, Quartz Bio analyzed multiple oncology biomarkers, such as gene expression, circulating tumor cells, and immunohistochemistry, to identify patient cohorts that would most likely benefit from a novel treatment. Biomarker analysis revealed a subpopulation whose survival rate increased significantly over the population average, bringing a potential application of personalized medicine closer to reality.

     

 

Read Full Post »

Victoria Hale: Pharmaceutical Pioneer

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

Bringing Life-Saving Medicine to Those Who Can Least Afford It

http://www.genengnews.com/insight-and-intelligence/victoria-hale-pharmaceutical-pioneer/77900545/

The quest for innovative, affordable, and sustainable medical solutions for women has driven Victoria Hale, Ph.D., to start multiple companies. [iStock/© zodebala]

http://www.genengnews.com/media/images/AnalysisAndInsight/Oct27_2015_iStock_22080713_FamilyPoverty1381802542.jpg

http://www.genengnews.com/Media/images/AnalysisAndInsight/oct27_2015_VictoriaHale_Headshot5521815813.jpg

  • Three years into working for Genentech, Victoria Hale, Ph.D., faced a pivotal moment. Her career was on track to becoming a high-ranking, well-paid executive in one of the major pharmaceutical companies. Instead, she quit her job to create a whole new model for the way pharmaceuticals are developed.

Prior to Genentech, while working at the FDA, she witnessed an example of what happens to medicines for unprofitable markets. A pharmaceutical company was developing one new drug for two promising indications, one a potential blockbuster and the other an orphan disease. Corporate executives decided to focus on the blockbuster and abandon the orphan disease because it distracted the team from the more profitable indication.

Dr. Hale saw this as a glaring injustice.

“I felt that it was important to make drugs for everyone who needs them, regardless of whatever level they can pay,” she says. “People cannot develop medicines themselves. Experienced, trained professionals are the only ones who know how to do this. There are people who have medicines for any disease here, while 5,000 miles away babies are dying for lack of simple medications.”

Observing the inequities in how drugs were distributed, she asked a fundamental question: “What if we removed the profit requirement? What if we created a nonprofit model for developing pharmaceuticals?”

As someone with a Ph.D. in pharmaceutical chemistry from the University of California San Francisco, Dr. Hale was well aware that bringing a new drug to market can cost in the billions. Her strategy, with a future nonprofit, was to find drugs with patents that had expired or which were not being used because of low profit margins. Even so, getting governmental approval for a new use for an existing drug can cost $50 million.

  • Struck a Chord

Nevertheless her vision of creating a nonprofit model for addressing injustices in how drugs are distributed began attracting donors. Her first major fundraising success came when the Gates Foundation provided her with a $4.7 million check for seed money. In the years since, she has been granted $150 million in total for several programs. Other philanthropic organizations have continued to fund her efforts, and, surprisingly, if not amazingly, Dr. Hale was able to find an anonymous donor who provided an $82 million grant to fund low-cost highly effective contraception efforts.

Dr. Hale can point to many examples of how this nonprofit approach has successfully played out in practice. One example is the work that the company she founded in 2000, OneWorld Health, is doing in providing a cure for black fever. This is a disease that has historically infected a million people a year in India leading to 300,000 death annually.

Black fever, or visceral leishmaniasis, is a disease of the poor. A malnourished person may have a compromised immune system, making him or her vulnerable to the parasite that causes leishmaniasis.

“When I was first looking into black fever,” remembers Dr. Hale, “there was a treatment available, but the cost was more than $100, and families faced the choice of going into debt for three generations or allowing the family member to die.”

Dr. Hale learned of an injectable antibiotic, paromomycin, that was apparently effective against the parasite in the laboratory setting. It hadn’t been formally studied in people for use against black fever, and there was no money to continue further research on it, so although a cure existed, it hadn’t been proven and it wasn’t available for those who needed it. However, using her nonprofit approach, Dr. Hale and her colleagues were able to raise the $50 million from the Gates Foundation for clinical trials in India, and succeeded in demonstrating efficacy and safety.

Today, Dr. Hale, who was awarded the 2015 Award for Leadership in Women’s Health Worldwide at the 23rd Annual Congress of the Academy of Women’s Health, and her colleagues are able to produce paromomycin for $10 per treatment. As a result, and combined with other public health interventions, India may soon be free of this scourge.

Another of Dr. Hale’s concerns is unwanted pregnancy. Her organization Medicines360 is able to provide an IUD that has a 40-fold greater success rate than the pill, it lasts for three years, and is sold for $50 each to women who lack adequate insurance. Medicines360 makes it available to family planning clinics that provide services to low-income women. The consequences for women and for society are incalculable.

Like OneWorld Health, Medicines360 is also a new approach to pharmaceuticals. Medicines360 is particularly aimed at pharmaceuticals for women, and it has a unique operating model: it reinvests profits generated through commercial sales revenue and puts these profits into advocacy, education, research, and development. The goal is to provide innovative, affordable, and sustainable medical solutions for women.

For Medicines360, profits aren’t the motive; they’re the means to a mission. Dr. Hale believes that her nonprofit can be a model for other nonprofit pharmaceutical companies and also for hybrid companies that could get part of their funding from philanthropists and part from traditional sources. She already knows that there are young idealistic people who will carry the model forward and who are pushing this agenda.

Read Full Post »

New Topoisomerase Inhibitors in Clinical Trials

Curator: Stephen J. Williams, Ph.D.

Below is a great review of topoisomerase in cancer, approved inhibitors as well as some in clinical trials.

Biomolecules 2015, 5, 1652-1670; doi:10.3390/biom5031652

OPEN ACCESS

biomolecules

ISSN 2218-273X

www.mdpi.com/journal/biomolecules/

Review

Inhibition of Topoisomerase (DNA) I (TOP1): DNA Damage Repair and Anticancer Therapy

Yang Xu and Chengtao Her *

School of Molecular Biosciences, College of Veterinary Medicine, Washington State University, Mail Drop 64-7520, Pullman, WA 99164, USA; E-Mail: davidxy22@vetmed.wsu.edu

* Author to whom correspondence should be addressed; E-Mail: cher@wsu.edu; Tel.: +1-509-335-7537; Fax: +1-509-335-4159.

Academic Editors: Wolf-Dietrich Heyer, Thomas Helleday and Fumio Hanaoka Received: 22 May 2015 / Accepted: 14 July 2015 / Published: 22 July 2015

Abstract: Most chemotherapy regimens contain at least one DNA-damaging agent that preferentially affects the growth of cancer cells. This strategy takes advantage of the differences in cell proliferation between normal and cancer cells. Chemotherapeutic drugs are usually designed to target rapid-dividing cells because sustained proliferation is a common feature of cancer [1,2]. Rapid DNA replication is essential for highly proliferative cells, thus blocking of DNA replication will create numerous mutations and/or chromosome rearrangements—ultimately triggering cell death [3]. Along these lines, DNA topoisomerase inhibitors are of great interest because they help to maintain strand breaks generated by topoisomerases during replication. In this article, we discuss the characteristics of topoisomerase (DNA) I (TOP1) and its inhibitors, as well as the underlying DNA repair pathways and the use of TOP1 inhibitors in cancer therapy.

Biomolecules 2015, 5                                                                                                                           1653

  1. Type IB Topoisomerases and Inhibitors
    1.1. TOP1

DNA topoisomerases resolve topological constraints that may arise from DNA strand separation and are therefore important for transcription and replication [4]. There are six topoisomerases in humans, classified as Type IA, IB and IIA. Type IA topoisomerases TOP3a and TOP3b cleave one DNA strand to relax only negative supercoiling. In addition, TOP3a forms the BTR complex with BLM and RMI1/2, which plays a role in the dissolution of double-Holliday junctions [5]. Type IIA topoisomerases TOP2a and TOP2b generate double-strand breaks on one DNA molecule to allow the passing of other DNA strands [6]. Topoisomerases are attractive drug targets in cancer therapy. For example, the commonly used anticancer agents doxorubicin and etoposide (VP-16) are TOP2 inhibitors [7]. Type IB topoisomerases include the nuclear TOP1 and mitochondrial TOP1mt [4]. TOP1 initiates the DNA relaxation by nicking one DNA strand. It then forms a TOP1-DNA cleavage complex (TOP1cc) by covalently linked to the 3′-phosphate end via its tyrosine residue Y723 (3′-P-Y). Following the resolution of topological entanglements and the removal of TOP1, the 5′-hydroxyl end is realigned with the 3′-end for religation. Each nicking-closing cycle enables the relaxation of one DNA supercoiling (Figure 1).

Figure 1. A schematic representation of strand passages catalyzed by three types of topoisomerases (adapted from ref. [8]).

fig1topto

TOP1 is essential for embryonic development in mammals [9]. Although TOP1 plays an important role in the deconvolution of supercoils arising amid DNA replication, the precise steps involved with

Biomolecules 2015, 5                                                                                                                         1654

the recruitment of TOP1 to topological constraints remains to be revealed. It appears that in yeast TOP1 travels at a distance of 600 bp ahead of the replication fork [10] and remains associated with the GINS-MCM complex [11]. However, the yeast TOP1 is distinct from its human counterpart in that it has little effect on fork progression or the firing of replication origin [12]. In humans, TOP1 binds to the regions of the pre-replicative complex in cells during the M, early G1, and G1/S phases of the cell cycle to control the firing of replication origins [12]. This difference may explain why yeast cells are viable in the absence of TOP1. In addition, TOP1 also has functions in transcription that are independent of its role in resolving DNA topological entanglements. First, TOP1 is known to repress transcription by binding to TFIID [13]. Second, inhibition of TOP1 can cause the induction of c-Jun in leukemia cells, suggesting its additional role in the control of transcription [14]. Furthermore, TOP1 interacts with the splicing factor ASF/SF2 by which it promotes the maturation of RNA—through suppressing the formation of R-loops (RNA-DNA hybrids)—and prevents collision between transcription bubble and replication fork [15,16]. It appears that the levels of TOP1 have to be dynamically regulated. In B cells, TOP1 is reduced by activation-induced cytidine deaminase (AID) to facilitate class-switch recombination (CSR) and somatic hypermutation (SHM) [17,18]. Although TOP1mt is important for mitochondrial integrity and metabolism, mice lacking mitochondrial TOP1mt are viable and fertile but they are associated with increased negative supercoiling of mtDNA [19,20].

1.2. TOP1 Inhibitors

Stabilization of TOP1cc by topoisomerase poison is detrimental to cells due to the disruption of DNA uncoiling, increased strand breaks, and unstable RNA transcripts as well as incomplete DNA replication [21]. The TOP1 inhibitor camptothecin (CPT), first isolated from the Chinese tree Camptotheca acuminate, was clinically used for cancer treatment long before it was identified as a TOP1 inhibitor [22]. Due to side effects, CPT is no longer used clinically and it has been replaced by more effective and safer TOP1 inhibitors [23]. Currently, CPT derivatives topotecan (trade name: Hycamtin) and irinotecan (CPT-11, trade name: Camptosar) are routinely used to treat colorectal, ovarian and lung cancers, while a few other TOP1 inhibitors are being tested in clinical trials.

CPT is a 5-ring alkaloid that is active in its closed E-ring (lactone) form but it is inactive with an open E-ring (carboxylate) at physiological and alkaline pH [24]. Therefore, CPT is not effective for inhibiting TOP1mt due to a higher pH mitochondrial environment. The inactive form of CPT tends to bind to serum albumin, which might be a reason for its side effects. CPT is highly specific for TOP1 and the binding is of relatively low affinity and can be reversed after drug removal. These features make the action of CPT controllable [24], and in fact CPT is widely used in studies of replication-associated DNA damage response. There are a few CPT derivatives and non-CPT TOP1 inhibitors [4,8,24]. For example, CPT derivatives Diflomotecan and S39625 were designed to stabilize the E-ring. Irinotecan has the bis-piperidine side chain to increase its water solubility, but it also contributes to some side effects. Non-CPTs—such as indolocarbazoles, phenanthrolines (e.g., ARC-111) and indenoisoquinolines—refer to drugs that have no typical CPT E-ring structures but they can still specifically target TOP1 and bind irreversibly to TOP1cc. Some of the CPT derivatives (i.e., Gimatecan and Belotecan) and non-CPTs (i.e., NSC 725776 and NSC 724998) are presently tested in clinical trials [23].

Biomolecules 2015, 5                                                                                                                           1655

How does CPT trap TOP1cc? Analysis of the crystal structure and modeling suggest that CPT-TOP1-DNA forms a ternary complex to prevent the two DNA ends from religation [25–27]. Although it is still controversial on how CPT is intercalated into DNA, it seems that CPT traps TOP1cc with a thymine (T) at the -1 position and a guanine (G) at the +1 position on the scissile strand, and it is therefore sequence-specific [28]. Three amino acid residues of the TOP1 enzyme, R364, D533 and N722, combined with DNA bases, contribute to the stabilization of the ternary complex by forming hydrogen bonds and hydrophobic interactions. It is of note that several point mutations, including N722S, in Camptotheca acuminata TOP1 confer resistance to CPT [29]. Interestingly, the same amino acids also contribute to the inhibition of TOP1 by non-CPT drugs [24].

  1. Repair of TOP1 Poison-Induced DNA Lesions

As aforementioned, CPT-induced trapping of TOP1cc creates a single strand break with a free 5′-hydroxyl group, whereas the 3′-phosphate is connected to Y723 of TOP1 (3′-P-Y). At least two pathways contribute to the repair of DNA lesions created by TOP1 poison [30]. The tyrosyl-DNA-phosphodiesterase (TDP1) pathway starts with the ubiquitination and proteasome-mediated degradation of TOP1 in the CPT-TOP1-DNA complex to generate a 3′-P end linked to a short peptide [31]. TDP1 then cleaves the P-Y bond to release the 3′-P end; however, the 3′-P end cannot be directly ligated to the 5′-OH end because of the requirements of DNA ligases. The human polynucleotide kinase (PNKP) can process the DNA ends by functioning as both a 3′-phosphatase and a kinase to generate the required 3′-OH and 5′-P termini for direct ligation. The rest of the repair events can be best described by the single-strand break (SSB) repair pathway, which will be discussed below. Indeed, TDP1 and PNKP are tightly associated with the SSB repair machinery [32,33].

The endonuclease pathway requires multiple endonucleases to excise the DNA—usually at a few nucleotides away from the 3′-P-TOP1 end – on the scissile strand to release the DNA-TOP1 complex [30]. Initial studies were carried out to identify genes that functioned in CPT repair in the absence of TDP1 in yeast [34,35]. These studies led to the identification of RAD1-RAD10, SLX1-SLX4, MUS81-MMS4, MRE11-SAE2 as well as genes involved in recombination. The RAD1-RAD10 (human XPF/ERCC4-ERCC1) complex is a DNA structure-specific endonuclease that can act on 5′ overhang structures [36]. Interestingly, the cleavage site of XPF-ERCC1 is in the non-protruding DNA strand, about 3–4 nucleotides away from the 3′ end [36]. Therefore, trapped TOP1ccs can be removed by this endonuclease activity. Likewise, MUS81-MMS4 (human MUS81-EME1) can also cleave nicked duplex at the 5′ of the nick [37]. The SLX1-SLX4 endonuclease, although not tested on nicked duplexes, is able to process 3′ flap and other DNA structures [38,39]. In human cells, SLX4 also associates with XPF-ERCC1 and MUS81-EME1 endonucleases to process specific DNA intermediates [39,40]. Moreover, MRE11-RAD50 cleaves the 3′-P-Y bond and resects DNA to produce a 3′-OH end [41]. A direct role of SAE2 (human CtIP) in processing 3′-P-TOP1 is unknown, and its endonuclease activity appears to be limited to the 5′ flap or DNA “hairpin” structures [42,43]. Nonetheless, the endonuclease activity of CtIP is essential for processing CPT adducts [42]. In addition, like CtIP, the 5′ flap endonuclease RAD27 (human FEN1) seems to be unable to directly process 3′-P-TOP1 ends [44]. However, the gap endonuclease activity of FEN1 is important for processing stalled replication forks and CPT-induced adducts [45]. The role of FEN1 in SSB repair will be discussed further in the next section.

Biomolecules 2015, 5                                                                                                                           1656

During DNA replication, SSBs created by CPT are most likely converted to double-strand breaks (DSBs) by replication fork runoff. This conversion appears to be dependent on the proteolysis of TOP1 [46]. The repair of one-ended DSBs, as will be discussed in the next section, is largely dependent on homologous recombination (HR). However, low doses of CPT may also induce PARP1 and/or RAD51 dependent replication fork regression—generating no or few DSBs [47,48]. The regressed fork leads to the formation of a “chicken foot” DNA structure by newly synthesized strands [3,49,50]. The formation of regressed fork can be largely suppressed by ATR, EXO1, and DNA2 [51–53]. However, fork reversal can also be beneficial as it provides time for the repair of TOP1-induced DNA lesions by TDP1, thereby preventing DSB formation and the activation of error-prone non-homologous end-joining (NHEJ) [30].

  1. Pathways Involved in the Repair of CPT-Induced DNA Lesions

Normal cells use DNA damage response (DDR) pathways to maintain genomic stability [54]. As aforementioned, SSB and DSB repair mechanisms are the two major DDR pathways that repair TOP1-induced DNA lesions. Paradoxically, cancer cells exploit DDR pathways to accumulate necessary genomic alterations for promoting proliferation. Furthermore, altered DDR and apoptotic responses in cancer cells are the major obstacles to successful chemotherapy. Thus, the delineation of TOP1-related SSB and DSB repair mechanisms is of great importance for identifying drug targets that can selectively affect cancer cell survival.

3.1. Single-Strand Break (SSB) Repair

Trapping of TOP1cc results in a 3′-P-TOP1 end and a 5′-OH terminus. Because the two ends cannot be directly religated, the persisting SSB is likely to be detected by PARP1 in which activated PARP1 catalyzes the synthesis of poly(ADP-ribose) (PAR) chains for recruiting repair proteins [55]. This reaction can be rapidly reversed by PARG, which hydrolyzes the PAR chains. The PAR chains at the SSB sites are important for the recruitment of XRCC1 that functions as a loading dock for other SSB repair proteins including TDP1 and PNKP. TDP1 generates 3′-P and PNKP converts 3′-P to 3′-OH, and PNKP also converts 5′-OH to 5′-P, making ends compatible for religation with no base loss. The rejoining of the 3′-OH and 5′-P ends is mainly mediated by LIG3, in which XRCC1 mediates the recruitment of LIG3.

If the trapped TOP1cc intermediates are processed by endonucleases, the initial SSBs will be converted to 3′-OH and 5′-OH ends with a gap over a few nucleotides (in the case of XPF-ERCC1, the loss is in the range of 3–4 nt), leading to the activation of PARP1 and XRCC1 recruitment. Consequentially, Pol3 recruited by XRCC1 can catalyze the gap filling, and PCNA-Polö/E also plays a role in this process [55]. If the 5′-OH is not processed by PNKP, the 5′-flap resulted from gap filling is likely to be removed by FEN1, which explains why FEN1 deficiency also leads to an increased CPT sensitivity. The final ligation is catalyzed by LIG1 because of the presence of PCNA.

Biomolecules 2015, 5                                                                                                                           1657

3.2. Double-Strand Break (DSB) Repair

Successful DSB repair requires concerted actions of proteins involved in DNA damage signaling and repair [54]. To repair TOP1 poison-induced DNA lesions, ATR signaling is required due to the runoff of replication fork and the presence of long single-strand DNA (ssDNA) [56]. The full activation of ATR follows a “two-man” rule—the ssDNA-ATRIP-dependent recruitment of ATR kinase and the RAD17 clamp loader/9-1-1/TOPBP1 mediator loading at the ssDNA-dsDNA junction. ATR phosphorylates CHEK1 to harness cell cycle arrest. If one-ended DSB is formed, ATM will be activated through the action of the MRE11-RAD50-NBS1 (MRN) complex. ATM mainly phosphorylates CHEK2 to mediate cell cycle arrest. Both ATM and ATR are able to phosphorylate hundreds of proteins in response to DSB formation [57]. One remarkable substrate is the histone H2AX, which can be phosphorylated by both kinases to yield g-H2AX. It is conceived that the propagation of g-H2AX signaling along the chromatin facilitates MDC1 recruitment and BRCA1 signaling via the MDC1-RNF8-RNF168-RAP80 ubiquitin cascade—events that are essential for HR [58].

The repair of TOP1 poison-induced DNA lesions is in essence the repair of one-ended DSBs, which facilitates the restoration of replication forks to restart DNA replication. It is important to note that one-ended DSB repair occurs in the S phase and relies on HR rather than NHEJ [59]. The first step in HR is end resection to generate a 3′-overhang for homology searching. A TOP1 cleavage in the leading strand may require end resection by the MRN-CtIP-BRCA1 and BLM-EXO1-DNA2 complexes [60], whereas a cleavage in the lagging strand automatically forms a 3′-overhang. Rad51 then associates with the 3′-ssDNA to form a nucleofilament for strand invasion, which leads to the formation of a D-loop structure [61]. This process continues with DNA synthesis, branch migration and the resolution of Holliday junction structures to reconstitute a functional replication fork [62]. TOP1 poisons can also lead to the formation of two-ended DSB if two replication forks collide into each other at the site of SSB. The repair of this type of DSBs is not aimed for fork restoration and can be accomplished by the classical DSB repair mechanisms [61].

3.3. Genes Involved in CPT-Induced Damage Repair

A long list of genes, in which mutations confer sensitivity to CPT in yeast, chicken or mammalian cells, has been compiled [24,30,63]. With no surprise, many genes involved in SSB and DSB repair are on the list, such as PARP1, XRCC1, PNKP, TDP1 for SSB repair; MRN, ATM-CHK2, ATR-CHK1 for DSB signaling; BRCA1/2, XRCC2, XRCC3 for HR. Most recently, the hMSH5-FANCJ complex has also been implicated to play a role in CPT-induced DNA damage response and repair [64]. Mutations in the binding partners of these repair factors are also likely to sensitize cells to CPT treatment. For example, depletion of the MRN-binding partner hnRNPUL increases the sensitivity to CPT [65]; and deficiencies in ZRANB3 and SPIDR, binding partners of PCNA and RAD51, cause CPT hypersensitivity in cancer cells [66–68]. In addition, the two DNA helicases BLM and WRN have also been implicated in the repair of CPT-induced DNA lesions [69,70]. Early studies revealed that chicken BLM knockout cells and human BLM-deficient fibroblasts showed increased sensitivity to CPT [71,72]. On the contrary, mouse BLM knockout embryonic stem cells showed mild resistance to

Biomolecules 2015, 5                                                                                                                           1658

CPT [73]. This discrepancy is likely attributable to the complexity of CPT-induced DNA lesion repair as well as different treatment conditions and experimental systems.

Interstrand crosslinks (ICLs) resemble CPT-induced lesions in that they block both replication and transcription [74]. They may induce replication fork reversal and fork collapse, which require DNA incision for lesion processing and HR for repair. ICL repair is accomplished by the coordinated actions of 17 Fanconi anemia (FA) genes whose mutations contribute to FA in patients [75]. Depletion of FANCP/SLX4 or FANCQ/XPF causes cellular sensitivity to CPT because they form an endonuclease complex involved in the repair of trapped TOP1cc [38]. Likewise, depletion of FANCS/BRCA1, FANCD1/BRCA2, FANCN/PALB2 or FANCO/RAD51C sensitizes cells to CPT because of their involvement in HR [76]. Accordingly, depletion of the FA core complex except FANCM—involved in fork reversal—is not expected to increase CPT sensitivity because they are unable to recognize the trapped TOP1cc [76]. However, the roles of FANCI, D2, J and FAN1 in the process are elusive due to conflicting reports presumably reflecting different experimental systems [76–78]. For example, in a multicolor competition assay, loss of FANCI or FAN1 rendered cells sensitive to CPT treatment [77]. However, this observation could not be recapitulated in studies performed with FANCI-deficient lymphoblasts and FAN1-depleted HEK293 cells [76,79], indicating that the involvement of these two genes in CTP sensitivity might be cell type specific.

It is interesting to note that the MMS22L-TONSL complex plays a prominent role in mediating CPT sensitivity [80–83]. Depletion of this complex impairs RAD51 foci formation and triggers G2/M arrest, indicating that the MMS22L-TONSL complex participates in HR repair. Furthermore, this complex associates with MCM, FACT, ASF1 and histones. FACT and ASF1 are histone chaperones that function in H2A/H2B and H3/H4 chromatin assembly and disassembly, respectively [84]. They recycle parental histones from old DNA strands unwound by MCM and incorporate them into newly synthesized DNA strands. FACT and ASF1 also function in checkpoint signaling; therefore the involvement of MMS22L-TONSL in CPT response implies the existence of a close association between HR, DNA damage signaling and replication restart.

  1. TOP1 Inhibition in Cancer Treatment

The understanding of the function of TOP1 and the cellular effects of TOP1 inhibition has been a stepping-stone for the development of effective CPT derivatives in cancer therapy. Since TOP1 functions in normal and cancer cells, the use of low doses of TOP1 inhibitors are actively sought to treat cancers that heavily rely on the function of TOP1 for survival (e.g., highly malignant, rapid-dividing tumor cells). In fact, the FDA-approved CPT derivatives topotecan and irinotecan are currently used to treat ovarian and colorectal cancers, respectively [24].

Furthermore, the promising results from a Phase I trial have warranted further evaluation of the CPT derivative Diflomotecan in Phase II trials [85]. Other derivatives like Gimatecan, Lurtotecan and Exatecan are also being tested in clinical trials (Table 1). The non-CPT indolocarbazole BMS-250749 showed great anti-tumor activity against preclinical xenograft models [86], but no further evaluation beyond Phase I trials is presently available (Table 2). Another indolocarbazole compound Edotecarin has shown promising anti-tumor activity in xenograft models and it is now advanced to Phase II studies of patients with advanced solid tumors [87]. By contrast, Phenanthroline ARC-111 (topovale)

Biomolecules 2015, 5                                                                                                                             1659

was potently against human tumor xenografts and displayed anti-cancer activity in colon and Wilms’ tumors [88]; however, no result from Phase I clinical trials is available owing to profound bone marrow toxicity [89]. To date, indenoisoquinolines are the most promising non-CPT inhibitors in clinical trials. LMP400 (NSC 743400, indotecan) and LMP776 (NSC 725776, indimitecan) show significant anti-tumor activities in animal models and both are being evaluated in Phase I clinical trials for relapsed solid tumors and lymphomas [8,90].

Table 1. CPT derivatives in clinical trials [91].

Name                            Structure                     Clinical Trial            Malignancy        Reference

Biomolecules 2015, 5                                                                                                                           1660

Given the observation that CPT-mediated TOP1 inhibition provokes DNA repair activities, a synergistic effect is then anticipated on cancer cells by inhibition of TOP1 and downregulation of DNA repair activities. The rationale for this approach is to accelerate the accumulation of DNA breaks and trigger cellular apoptosis, probably through mitotic catastrophe [92]. Which DNA repair pathways can we exploit? Currently, the major interests are in SSB and DSB repair mechanisms. Indeed, PARP inhibitors can enhance the cytotoxicity of TOP1 inhibitors in cancer cell lines as well as in mouse models [93–96]. Phase I studies of combination therapy using PARP inhibitors veliparib or olaparib (FDA-approved) together with topotecan were carried out in patients with advanced solid tumors but showed some dose-dependent side effects [97,98]. TDP1 can be another potential target because it functions directly downstream of PARP1 in the repair of TOP1 poison-induced DNA lesions [99]. TDP1 inhibitors sensitize cells to CPT treatment in vitro [100,101], however in vivo evaluation is presently unavailable due to unsuitable properties of the compounds [102].

Table 2. Non-CPT derivatives in preclinical and clinical trials [91].

Name                       Structure               Clinical Trial            Malignancy             Reference

Indolocarbazoles
(Edotecarin,
BMS-250749)
Phase II

(Edotecarin, Pfizer)

Stomach, breast
neoplasms
Preclinical
(BMS-250749)
Anti-tumor activity
in preclinical
xenograft models
[86,87,103]
Phenanthridines
(ARC-111/topovale)
Anti-tumor activity

Preclinical                    in preclinical            [88,89,103]
xenograft models

Indenoisoquinolines
(LMP400, LMP776)
Phase I                              Lymphomas             [8,90,103]

DSB repair can be targeted by either inhibition of DSB signaling or inhibition of HR. ATM and ATR inhibitors can largely increase the sensitivity to CPT in cancer cells [104,105]. This can be explained by the fact that abrogation of the cell cycle arrest will allow cells with unreplicated or unrepaired chromosomes to enter mitosis thereby triggering mitotic catastrophe and cell death. Similarly, CHEK1 and CHEK2 inhibitors are tested in Phase I studies in combination with irinotecan [106,107]. Inhibitors that can directly block HR proteins are very limited [108]. This is partially attributed to the fact that HR genes are often mutated in cancer cells, thus diminishing the enthusiasm for developing HR inhibitors. One diterpenoid compound, however, was found to be able to inhibit the function of BRCA1 and render cytotoxicity in human prostate cancer cells [109]. Several RAD51 inhibitors have also been

Biomolecules 2015, 5                                                                                                                           1661

identified but have not been tested in cell lines [110]. Inhibition of BRCA1 and RAD51 can be also achieved indirectly by harnessing corresponding kinases [106]. Clearly, defective hMRE11 sensitizes colon cancer cells to CPT treatment [111]. Although MRE11-deficeint tumor xenografts failed to display significant growth inhibition by irinotecan alone, combining thymidine with irinotecan caused a dramatic growth delay [112].

TOP1 inhibitors might be also useful for treating cancers with BRCA1/2 mutations. The successful use of PARP inhibitors in treating BRCA1/2-deficient tumors has ignited a broad interest in searching for synthetic lethality among DNA damage response and repair genes [113,114]. In the PARP-BRCA1/2 example, the accumulation of SSBs by PARP inhibition would lead to the formation of DSBs during replication. In HR-deficient cells, DSBs can only be repaired by illegitimate (toxic) NHEJ—joining one-ended DSBs from different locations—leading to cell death [115,116]. However, resistance to PARP inhibitors can arise in BRCA1-deficient tumors during treatment from either genetic reversion of BRCA1 mutations or the loss of NHEJ [117–122]. Therefore, it would be beneficial to explore the possibility of developing a similar synthetic lethal strategy to use TOP1 inhibitors in the treatment of BRCA1/2-deficient tumors.

Figure 2. An overview of the effects of TOP1 inhibition is provided. Inhibitors and key DNA repair factors are highlighted.

Biomolecules 2015, 5                                                                                                                         1662

  1. Conclusions

Trapping of TOP1 by inhibitors generates SSBs and DSBs that are repaired by their corresponding repair pathways (Figure 2). Therefore, developing effective TOP1 inhibitors not only provides powerful tools to study DNA replication and repair but also establishes a foundation to devise new synthetic lethal strategies for efficient cancer treatments. The accumulation of DNA strand breaks (SSBs and DSBs) by TOP1 inhibition in HR-deficient tumor cells is expected to enhance cytotoxicity. However, increased DNA repair activities in cancer cells can make TOP1 inhibitors less effective, so silencing of repair pathways in conjunction with the use of TOP1 inhibitors offers an attractive new means for cancer control. Since each tumor is unique, it would be advantageous to identify the individualities of DNA repair pathways or biomarkers reflecting the changes of DNA repair activities in tumor cells [92,123]. This will make it possible to achieve better and predictable prognosis through tailored therapeutic regimens. Given that TOP1 is essential for transcription and DNA replication, future design of novel TOP1 inhibitors and combinational therapy strategies should aim to increase therapeutic efficacy of the inhibitors, thus reducing side effects.

Acknowledgments

The work in the Her laboratory is supported by the NIH grant GM084353.

Author Contributions

Yang Xu and Chengtao Her wrote and revised the article.

Conflicts of Interest

The authors declare that they have no conflicts of interest with the contents of this article.

Please see the following file for the referencesReferences for top paper

From a 2015 Clinical Cancer Research paper:

Phase 1 clinical pharmacology study of F14512, a new polyamine-vectorized anti-cancer drug, in naturally occurring canine lymphoma

Dominique Tierny1, Francois Serres1, Zacharie Segaoula1, Ingrid Bemelmans1, Emmanuel Bouchaert1,

Aurelie Petain2, Viviane Brel3, Stephane Couffin4, Thierry Marchal5, Laurent Nguyen6, Xavier Thuru7,

Pierre Ferre2, Nicolas Guilbaud8, and Bruno Gomes9,*

Abstract

Purpose: F14512 is a new topoisomerase II inhibitor containing a spermine moiety that facilitates selective uptake by tumor cells and increases topoisomerase II poisoning. F14512 is currently in Phase I/II clinical trial in patients with acute myeloid leukemia. The aim of this study was to investigate F14512 potential in a new clinical indication. Because of the many similarities between human and dog lymphomas, we sought to determine the tolerance, efficacy, PK/PD relationship of F14512 in this indication, and potential biomarkers that could be translated into human trials. Experimental design: Twenty-three dogs with stage III-IV naturally occurring lymphomas were enrolled in the Phase 1 dose-escalation trial which consisted of three cycles of F14512 intravenous injections. Endpoints included safety and therapeutic efficacy. Serial blood samples and tumor biopsies were obtained for PK/PD and biomarker studies. Results: Five dose levels were evaluated in order to determine the recommended dose. F14512 was well tolerated, with the expected dose-dependent hematological toxicity. F14512 induced an early decrease of tumoral lymph node cells, and a high response rate of 91% (21/23) with 10 complete responses, 11 partial responses, 1 stable disease and 1 progressive disease. Phosphorylation of histone H2AX was studied as a potential pharmacodynamic biomarker of F14512. Conclusions: This trial demonstrated that F14512 can be safely administered to dogs with lymphoma resulting in strong therapeutic efficacy. Additional evaluation of F14512 is needed to compare its efficacy with standards of care in dogs, and to translate biomarker and efficacy findings into clinical trials in humans.

AND From ASCO 2015 Annual Meeting

Survival impact of switching to different topoisomerase I or II inhibitors-based regimens (topo-I or topo-II) in extensive-disease small cell lung cancer (ED-SCLC): supplemental analysis from JCOG0509.

Abstract:

Background: The J0509 (phase III study for chemotherapy-naive ED-SCLC) demonstrated amrubicin plus cisplatin (AP) was inferior to irinotecan plus cisplatin (IP). However, median overall survival (OS) of both AP and IP (15 and 17 mo) was more favorable than those of previous trials (9-12 mo), probably because switching to different topo-I or topo-II in the second-line therapy, especially the use of topo-II in IP arm, was frequent. This analysis aimed to investigate whether observed survival benefit of IP arm can be explained by the treatment switching, and how post-protocol chemotherapy affected the result of J0509. Methods: Two analysis sets from J0509 were used: all randomized 283 pts and 250 pts who received post-protocol chemotherapy. One pt without initiation date of second-line therapy was excluded. A rank-preserving structural failure time (RPSFT) model was used to estimate “causal survival benefit” that would have been observed if all pts had been followed with the same type of regimen as randomized throughout the follow-up period. Additionally, to assess the survival impact of second-line use of topo-II, OS after initiating second-line therapy (OS2) was analyzed by multivariate Cox models. Results: %treatment switching in IP arm and AP arm was 65.2% (92/141) and 43.7% (62/142). By RPSFT model, estimated OS excluding the effect of the treatment switching was 2.7-fold longer in IP (topo-I) arm than AP (topo-II) arm. This causal survival benefit was stronger than the original report of J0509 (nearly 1.4-fold extension by Cox model), indicating that re-challenging topo-I in IP arm appeared beneficial. The multivariate Cox analysis for OS2 (n = 250) revealed second-line use of topo-II was detrimental (hazard ratio, 1.5; 95%CI, 1.1-2.1). Among sensitive relapsed pts in IP arm, OS2 was favorable in the following order: irinotecan-based regimen > the other topo-I > topo-II. Conclusions: IP remains the standard therapy. Re-challenging topo-I, especially irinotecan-based topo-I, seemed beneficial for IP-sensitive pts. This result should be confirmed in further investigations with large sample size. Clinical trial information: 000000720.

 

 

 

 

Below is actively recruiting clinical trials evaluating topoisomerase inhibitors. Shown are only a few trials for a complete list from CancerTrials.gov please see this link:

https://clinicaltrials.gov/ct2/results?term=topoisomerase+inhibitor&recr=Open#wrapper

A service of the U.S. National Institutes of Health

897 studies found for:    topoisomerase inhibitor | Open Studies

Include only open studies Exclude studies with Unknown status

Status Study
Recruiting A Study of Standard Treatment +/- Enoxaparin in Small Cell Lung Cancer

Condition: Small Cell Lung Cancer
Interventions: Drug: cisplatinum or carboplatin and e.g.etoposide.;   Drug: cisplatinum or carboplatin and e.g.etoposide+enoxaparin
Recruiting A Phase I Study of Indenoisoquinolines LMP400 and LMP776 in Adults With Relapsed Solid Tumors and Lymphomas

Conditions: Neoplasms;   Lymphoma
Interventions: Drug: LMP 400;   Drug: LMP 776
Recruiting A Dose-Ranging Study Evaluating the Efficacy, Safety, and Tolerability of GSK2140944 in the Treatment of Uncomplicated Urogenital Gonorrhea Caused by Neisseria Gonorrhoeae

Condition: Gonorrhea
Intervention: Drug: GSK2140944
Recruiting Selinexor in Combination With Irinotecan in Adenocarcinoma of Stomach and Distal Esophagus

Conditions: Esophageal Cancer;   Gastric Cancer
Interventions: Drug: Selinexor;   Drug: Irinotecan
Recruiting Multimodal Molecular Targeted Therapy to Treat Relapsed or Refractory High-risk Neuroblastoma

Condition: Neuroblastoma Recurrent
Interventions: Drug: Dasatinib;   Drug: Rapamycin;   Drug: Irinotecan;   Drug: Temozolomide
Unknown  Study of the Farnesyl Transferase Inhibitor, R115777, in Combination With Topotecan (NYU 99-32)

Condition: Cancer
Interventions: Drug: R115777 (farnesyl transferase inhibitor);   Drug: Topotecan
Recruiting Pegylated Irinotecan NKTR 102 in Treating Patients With Relapsed Small Cell Lung Cancer

Condition: Recurrent Small Cell Lung Carcinoma
Interventions: Other: Laboratory Biomarker Analysis;   Drug: Pegylated Irinotecan;   Other: Pharmacological Study
Recruiting Selinexor and Chemotherapy in Treating Patients With Relapsed or Refractory Acute Myeloid Leukemia

Conditions: Adult Acute Myeloid Leukemia With 11q23 (MLL) Abnormalities;   Adult Acute Myeloid Leukemia With Del(5q);   Adult Acute Myeloid Leukemia With Inv(16)(p13;q22);   Adult Acute Myeloid Leukemia With t(15;17)(q22;q12);   Adult Acute Myeloid Leukemia With t(16;16)(p13;q22);   Adult Acute Myeloid Leukemia With t(8;21)(q22;q22);   Recurrent Adult Acute Myeloid Leukemia;   Secondary Acute Myeloid Leukemia
Interventions: Drug: mitoxantrone hydrochloride;   Drug: etoposide;   Drug: cytarabine;   Drug: selinexor;   Other: laboratory biomarker analysis;   Other: pharmacological study
Recruiting WEE1 Inhibitor MK-1775 and Irinotecan Hydrochloride in Treating Younger Patients With Relapsed or Refractory Solid Tumors

Conditions: Childhood Solid Neoplasm;   Recurrent Childhood Medulloblastoma;   Recurrent Childhood Supratentorial Primitive Neuroectodermal Tumor;   Recurrent Neuroblastoma
Interventions: Drug: Irinotecan Hydrochloride;   Other: Laboratory Biomarker Analysis;   Other: Pharmacological Study;   Drug: WEE1 Inhibitor AZD1775
Recruiting PARP Inhibitor BMN-673 and Temozolomide or Irinotecan Hydrochloride in Treating Patients With Locally Advanced or Metastatic Solid Tumors

Conditions: Metastatic Cancer;   Unspecified Adult Solid Tumor
Interventions: Drug: PARP inhibitor BMN-673;   Drug: temozolomide;   Drug: irinotecan hydrochloride;   Other: pharmacological study;   Other: laboratory biomarker analysis
Recruiting A Phase II Multicenter, Randomized, Placebo Controlled, Double Blinded Clinical Study of KD018 as a Modulator of Irinotecan Chemotherapy in Patients With Metastatic Colorectal Cancer

Condition: Colorectal Neoplasms
Interventions: Drug: KD018;   Drug: Irinotecan;   Drug: Placebo
Recruiting The Efficacy of the 7 Days Tailored Therapy as 2nd Rescue Therapy for Eradication of H. Pylori Infection

Condition: Helicobacter Infection
Interventions: Procedure: H. pylori culture and antimicrobial susceptibility testing;   Drug: 14 days empirical bismuth quadruple therapy (Proton pump inhibitor);   Drug: Metronidazole;   Drug: Tetracycline;   Drug: tripotassium dicitrate bismuthate;   Drug: 7 days tailored therapy Proton Pump Inhibitor;   Drug: Moxifloxacin;   Drug: Amoxicillin
Recruiting G1T28 (CDK 4/6 Inhibitor) in Combination With Etoposide and Carboplatin in Extensive Stage Small Cell Lung Cancer (SCLC)

Condition: Small Cell Lung Cancer
Interventions: Drug: G1T28 + carboplatin/ etoposide;   Drug: Placebo + carboplatin/ etoposide
Recruiting Trial of Topotecan With VX-970, an ATR Kinase Inhibitor, in Small Cell Lung Cancer

Conditions: Carcinoma, Non-Small -Cell Lung;   Ovarian Neoplasms;   Small Cell Lung Carcinoma;   Uterine Cervical Neoplasms;   Carcinoma, Neuroendocrine
Interventions: Drug: Topotecan;   Drug: VX-970
Recruiting Prospective Analysis of UGT1A1 Promoter Polymorphism for Irinotecan Dose Escalation in Metastatic Colorectal Cancer Patients Treated With Bevacizumab Combined With FOLFIRI as the First-line Setting

Condition: Metastatic Colorectal Cancer
Interventions: Genetic: UGT1A1 genotyping (6,6);   Genetic: UGTIA1 genotyping (6,7);   Genetic: UGTIA1 genotyping (7,7);   Genetic: UGT1A1 non-genotyping;   Drug: bevacizumab (Avastin);   Drug: irinotecan;   Drug: Leucovorin;   Drug: 5-FU
Recruiting A Study of the Bruton’s Tyrosine Kinase Inhibitor, PCI-32765 (Ibrutinib), in Combination With Rituximab, Cyclophosphamide, Doxorubicin, Vincristine, and Prednisone in Patients With Newly Diagnosed Non-Germinal Center B-Cell Subtype of Diffuse Large B-Cell Lymphoma

Condition: Lymphoma
Interventions: Drug: Ibrutinib;   Drug: Placebo;   Drug: Rituximab;   Drug: Cyclophosphamide;   Drug: Doxorubicin;   Drug: Vincristine;   Drug: Prednisone (or equivalent)
Recruiting Irinotecan Combination Chemotherapy for Refractory or Relapsed Brain Tumor in Children and Adolescents

Condition: Brain Tumor
Intervention: Drug: Irinotecan combination chemotherapy
Recruiting A Study To Evaluate PF-04449913 With Chemotherapy In Patients With Acute Myeloid Leukemia or Myelodysplastic Syndrome

Condition: Acute Myeloid Leukemia
Interventions: Drug: PF-04449913;   Drug: Low dose ARA-C (LDAC);   Drug: Decitabine;   Drug: Daunorubicin;   Drug: Cytarabine
Recruiting Veliparib and Pegylated Liposomal Doxorubicin Hydrochloride in Treating Patients With Recurrent Ovarian Cancer, Fallopian Tube Cancer, or Primary Peritoneal Cancer or Metastatic Breast Cancer

Conditions: Estrogen Receptor Negative;   HER2/Neu Negative;   Male Breast Carcinoma;   Progesterone Receptor Negative;   Recurrent Breast Carcinoma;   Recurrent Fallopian Tube Carcinoma;   Recurrent Ovarian Carcinoma;   Recurrent Primary Peritoneal Carcinoma;   Stage IV Breast Cancer;   Triple-Negative Breast Carcinoma
Interventions: Other: Laboratory Biomarker Analysis;   Drug: Pegylated Liposomal Doxorubicin Hydrochloride;   Other: Pharmacological Study;   Drug: Veliparib
Recruiting A Study To Evaluate Ara-C and Idarubicin in Combination With the Selective Inhibitor Of Nuclear Export (SINE) Selinexor (KPT-330) in Patients With Relapsed Or Refractory AML

Condition: Acute Myeloid Leukemia (Relapsed/Refractory)
Interventions: Drug: Selinexor;   Drug: Idarubcin;   Drug: Cytarabine

Read Full Post »

« Newer Posts - Older Posts »