Feeds:
Posts
Comments

Archive for the ‘Diagnostic Immunology’ Category

Cancer Labs at School of Medicine @ Technion: Janet and David Polak Cancer and Vascular Biology Research Center

Cancer Labs at School of Medicine @ Technion

Reporter: Aviva Lev-Ari, PhD, RN

Article ID #139: Cancer Labs at School of Medicine @ Technion: Janet and David Polak Cancer and Vascular Biology Research Center. Published on 5/28/2014

WordCloud Image Produced by Adam Tubman

Janet and David Polak Cancer and Vascular Biology Research Center. The Rappaport Faculty of Medicine Research Institute and Faculty of Medicine, Technion – Israel Institute of Technology, Haifa, Israel

The center was established in 2003 to promote an in-depth interdisciplinary basic and clinical research on the control of cellular and molecular processes that are involved in cancer initiation and progression. We strongly believe that the understanding of basic biological processes that underlie normal development and their deregulation in cancer, is crucial for our ability to identify molecular targets for early detection, intervention, and cure of the disease. We are interested in a broad view of cancer – from the single malignantly transformed cell and its microenvironment, through the entire tumor in the animal. We focus on targeted ubiquitin-mediated degradation of key regulatory proteins that are involved in malignant transformation [Prof. Aaron Ciechanover (Nobel Prize in Chemistry 2004)], angiogenesis and cancer progression (Prof. Gera Neufeld), metastasis and tumor microenvironment (Prof. Israel Vlodavsky), as well as genetic and genomic dissection of embryonic and cancer transcriptional networks (Dr. Amir Orian). Towards these objectives, we combine molecular, biochemical, cell biological with Drosophila genetic and genomics experimental approaches, as well as employing advanced models of angiogenesis and metastasis.

We believe that scientific excellence and collegiality go together. Therefore, the center has an open and friendly atmosphere, creating a highly stimulating environment. The center is located in the 11th Floor of the Rappaport Faculty of Medicine building. It currently trains 45 graduate students, post-doctoral fellows, clinicians and researchers that are at the heart of our research. Formal and informal collaborations between individuals and laboratories are on-going and encouraged. We are running a series of joint seminars to which we invite researchers from Israel and abroad. The Center has advanced state-of-the-art microscopic and image analysis equipment, as well as other shared pieces of infrastructural equipment . The center is an integral part of the Faculty of Medicine and the Rappaport Research Institute which are home for excellent research groups, and enjoys their advanced Interdepartmental Equipment Unit. It is also adjacent to the Rambam Medical Center – the major hospital in the north of Israel – which provides us with access to rich clinical material and collaboration with clinicians. Many of them spend active research periods in our laboratories and bring the bench closer to the patient bed and vice versa. The Center is in an active phase of growth, and offers excellent research opportunities, space and facilities for students, post-doctoral fellows, and physicians.

Research Groups

The Ubiquitin System and Cellular Protein Turnover and Interactions

Immunity and Host Defense

Cardiovascular Biology

The Central Nervous System in Health and Disease

Developmental Biology and Cancer Research

Genetics

SOURCE 

http://www.rappaport.org.il/Rappaport/Templates/ShowPage.asp?DBID=1&TMID=842&FID=76

The cancer and vascular biology research center was established in 2003 to promote an in-depth interdisciplinary basic and clinical research on the control of cellular and molecular processes that are involved in cancer development and progression. Our goal is to advance knowledge in fundamental biological questions that are highly relevant for cancer.

The cancer and vascular biology research center was established in 2003 to promote an in-depth interdisciplinary basic and clinical research on the control of cellular and molecular processes that are involved in cancer development and progression. Our goal is to advance knowledge in fundamental biological questions that are highly relevant for cancer.

SOURCE

http://www.technioncancer.co.il/index.php

Home  >>  Research Groups

Aaron Ciechanover
Protein Turnover

Intracellular protein degradation and mechanisms of cancer
Israel Vlodavsky
Cancer Biology

Impact of heparanase and the tumor microenvironment on cancer progression: Basic aspects and clinical implications
Gera Neufeld
Tumor Progression & Angiogenesis

Blood vessels and tumor progression: The neuropilin connection
Amir Orian
Genetic Networks

Genetic networks in development and cancer
Home
About the Cancer Centers
Research Groups
Administration / Contact
Join – Us
Seminars and Events
Links
Beyond Science
Friends and supporters

Ms. Sigal Alfasi – Izrael, Center’s coordinator
e-mail: gsigal@tx.technion.ac.il
Tel: +972-4-829-5424
Fax: +972-4-852-3947

SOURCE

http://www.technioncancer.co.il/ResearchGroups.php

Yuval Shaked, PhD

Assistant Professor of Molecular Pharmacology

PhD, 2004 – Hebrew University, Israel

Understanding host – tumor interactions during cancer therapy

Personalized medicine holds promise of better cures with fewer side effects for many diseases. Individualized cancer therapy is sometimes utilized after multiple attempts of standard therapies and is based on several considerations, such as tumor type, acquired resistance to a specific therapy, previous treatment protocols, and other tumor-related factors. We have recently demonstrated that many cancer therapies can induce pro-tumorigenic or metastatic effects that derive not only from the tumor cells themselves, but also from host cells within the tumor microenvironment. The focus of research in my laboratory is to identify, characterize, and seek ways to block such pro-tumorigenic host effects observed after anti-cancer therapy, and thus potentially improve the outcome of current cancer therapies. Our findings may foster a paradigm shift in cancer therapy by minimizing the gap between preclinical findings and the clinical setting, laying the foundation for development of entirely new strategies for improving cancer therapy.

SOURCE

http://www.rappaport.org.il/Rappaport/Templates/ShowPage.asp?DBID=1&TMID=610&FID=77&PID=0&IID=1268

 

Other Related articled published on this Open Access Online Scientific Journal included the following:

D&D NT’s Solution: Galectin Proteins for Therapy and Diagnosis of Autoimmune Inflammatory and Cancer Diseases, Dr. Itshak Golan, CEO

http://pharmaceuticalintelligence.com/2014/05/28/dd-nts-solution-galectin-proteins-for-therapy-and-diagnosis-of-autoimmune-inflammatory-and-cancer-diseases-dr-itshak-golan-ceo/

MaimoniDex RA:  Monoclonal Antibodies for Therapy and Diagnosis of Cancer and Autoimmune Inflammatory Diseases – Dr. Itshak Golan, CEO

http://pharmaceuticalintelligence.com/2014/05/28/maimonidex-ra-monoclonal-antibodies-for-therapy-and-diagnosis-of-cancer-and-autoimmune-inflammatory-diseases-dr-itshak-golan-ceo/

Read Full Post »

Immunity and Host Defense – A Bibliography of Research @Technion

Reporter: Aviva Lev-Ari, PhD, RN

Article ID #138: Immunity and Host Defense – A Bibliography of Research @Technion. Published on 5/27/2014

WordCloud Image Produced by Adam Tubman

 

 

 

Antigen-Dependent Integration of Opposing Proximal TCR-Signaling Cascades Determines the Functional Fate of T Lymphocytes

2014

Shai Shen-Orr, PhD
Authors : Wolchinsky R, Hod-Marco M, Oved K, Shen-Orr SS, Bendall SC, Nolan GP, Reiter Y.
J Immunol. 2014 Mar 1;192(5):2109-19.
Identification of functionally important conserved trans-membrane residues of bacterial P(IB) -type ATPases

2013

Oded Lewinson, PhD
Authors : Zhitnitsky D, Lewinson O.
Mol Microbiol. 2013 Dec 19. doi: 10.1111/mmi.12495. [Epub ahead of print] PubMed PMID: 24350798.
Variability in the immune system: of vaccine responses and immune states

2013

Shai Shen-Orr, PhD
Authors : Shen-Orr SS, Furman D.
Curr Opin Immunol. 2013 Aug;25(4):542-7.
Computational deconvolution: extracting cell type-specific information from heterogeneous samples.

2013

Shai Shen-Orr, PhD
Authors : Shen-Orr SS, Gaujoux R.
Curr Opin Immunol. 2013 Oct 19. [Epub ahead of print] PubMed PMID: 24148234.
Challenges and promise for the development of human immune monitoring.

2013

Shai Shen-Orr, PhD
Authors : Shen-Orr S.
Rambam Maimonides Med J. 2012 Oct 31;3(4):e0023.
Homeostatic regulation of aging and rejuvenation in the B lineage cells

2013

Doron Melamed, PhD
Authors : Melamed D.
Crit Rev Immunol. 2013;33(1):41-56.
Variability in the immune system: of vaccine responses and immune states

2013

Shai Shen-Orr, PhD
Authors : Shen-Orr S, Furman D.
Curr Opin Immunol. 2013 Aug 13. doi:pii: S0952-7915(13)00113-1.
A single intact ATPase site of the ABC transporter BtuCD drives 5% transport activity yet supports full in-vivo vitamin B12 utilization.

2013

Oded Lewinson, PhD
Authors : Tal N, Ovcharenko E, Lewinson O.
Proc Natl Acad Sci U S A. (March 19 Epub ahead of print)
Apoptosis and other immune biomarkers predict influenza vaccine responsiveness.

2013

Shai Shen-Orr, PhD
Authors : Furman D, Jojic V, Kidd B, Shen-Orr S, Price J, Jarrell J, Tse T, Huang H, Lund P, Maecker HT, Utz PJ, Dekker CL, Koller D, Davis MM.
Molecular Systems Biology. 9, 659
The dual roles of inflammatory cytokines and chemokines in the regulation of autoimmune diseases and their clinical implications.

2013

Nathan Karin, PhD
Authors : Shachar, I., and N. Karin.
J Leukoc Biol 93:51-61.
Two molybdate/tungstate ABC transporters that interact very differently with their substrate binding proteins.

2013

Oded Lewinson, PhD
Authors : Vigonsky, Ovcharenko E, Lewinson O.
Proc Natl Acad Sci U S A. (March 19 Epub ahead of print)
Dissecting the Autocrine and Paracrine Roles of the CCR2-CCL2 Axis in Tumor Survival and Angiogenesis.

2012

Nathan Karin, PhD
Authors : Izhak, L., G. Wildbaum, S. Jung, A. Stein, Y. Shaked, and N. Karin.
PloS one 7:e28305
Dose-related effects of hyperoxia on the lung inflammatory response in septic rats

2012

Nitza Lahat, PhD
Authors : Waisman D, Brod V, Rahat MA, Amit-Cohen BC, Lahat N, Rimar D, Menn-Josephy H, David M, Lavon O, Cavari Y, Bitterman H.
Shock. 2012 Jan;37(1):95-102.
Robust and sensitive analysis of xMap bead arrays using SAxCyB.

2012

Shai Shen-Orr, PhD
Authors : Won JH, Goldberger O, Shen-Orr SS, David MM, Olshen RA.
Proc Natl Acad Sci U S A. 109, 2848-53.
The Entamoeba histolytica methylated LINE-binding protein EhMLBP provides protection against heat shock

2012

Serge Ankri, PhD
Authors : Katz S, Kushnir O, Tovy A, Siman Tov R, Ankri S.
Cell Microbiol. 2012 Jan;14(1):58-70
Hypoxia increases membranal and secreted HLA-DR in endothelial cells, rendering them T-cell activators.

2011

Nitza Lahat, PhD
Authors : Lahat N, Bitterman H, Weiss-Cerem L, Rahat MA.
Transpl Int. 2011 Oct;24(10):1018-26.
The Entamoeba histolytica methylated LINE-binding protein EhMLBP provides protection against heat shock.

2011

Serge Ankri, PhD
Authors : Katz S, Kushnir O, Tovy A, Siman Tov R, Ankri S.
Cell Microbiol. 2011 Sep 8. [Epub ahead of print]
Dose-Related Effects of Hyperoxia on the Lung Inflammatory Response in Septic Rats. Shoc

2011

Nitza Lahat, PhD
Authors : Waisman D, Brod V, Rahat MA, Amit-Cohen BC, Lahat N, Rimar D, Menn-Josephy H, David M, Lavon O, Cavari Y, Bitterman H.
2011 Sep 3. [Epub ahead of print]
Glucose starvation boosts Entamoeba histolytica virulence.

2011

Serge Ankri, PhD
Authors : Tovy A, Hertz R, Siman-Tov R, Syan S, Faust D, Guillen N, Ankri S.
PLoS Negl Trop Dis. 2011 Aug;5(8):e1247.
The binding activity of Mel-18 at the Il17a promoter is regulated by the integrated signals of the TCR and polarizing cytokines.

2011

Eur J Immunol. 2011 Aug;41(8):2424-35.
phosphorylation of SLP-76 at tyrosine 173 is required for activation of T and mast cells.

2011

Deborah Yablonski, PhD
Authors : Sela M, Bogin Y, Beach D, Oellerich T, Lehne J, Smith-Garvin JE, Okumura M, Starosvetsky E, Kosoff R, Libman E, Koretzky G, Kambayashi T, Urlaub H, Wienands J, Chernoff J, Yablonski D. Sequential
EMBO J. 2011 Jul 1;30(15):3160-72.
The binding activity of Mel-18 at the Il17a promoter is regulated by the integrated signals of the TCR and polarizing cytokines.

2011

Orly Avni, PhD
Authors : Hod-Dvorai R, Jacob E, Boyko Y, Avni O.
Eur J Immunol. 2011 Jun 15. [Epub ahead of print]
MMP expression in leaking filtering blebs and tears after glaucoma filtering surgery.

2011

Nitza Lahat, PhD
Authors : Mathalone N, Marmor S, Rahat MA, Lahat N, Oron Y, Geyer O.
Graefes Arch Clin Exp Ophthalmol. 2011 Mar 31. [Epub ahead of print]
B cell depletion reactivates B lymphopoiesis in the BM and rejuvenates the B lineage in aging.

2011

Doron Melamed, PhD
Authors : Keren Z, Naor S, Nussbaum S Golan K, Itkin T, Sasaki Y, Schmidt-Supprian M, Lapidot T, Melamed D.
Blood 117, 3104 – 3112.
Chronic B cell deficiency from birth prevents age-related alterations in the B lineage J.

2011

Doron Melamed, PhD
Authors : Keren Z, Averbuch D, Shahaf G, Zisman-Rozen S, Golan K, Itkin T, Lapidot T, Mehr R, Melamed D.
Immunol 187, 2140 – 2147.
Epigenetics in the unicellular parasite Entamoeba histolytica.

2010

Serge Ankri, PhD
Authors : Tovy A, Ankri S.
Future Microbiol. 2010 Dec;5:1875-84.
The MAPK/ERK and PI3K pathways additively coordinate the transcription of recombination-activating genes in B lineage cells

2010

Orly Avni, PhD
Authors : Novak R, Jacob E, Haimovich J, Avni O, Melamed D.
J Immunol. 2010 Sep 15;185(6):3239-47
A fusion protein encoding the second extracellular domain of CCR5 arrests chemokine-induced cosignaling and effectively suppresses ongoing experimental autoimmune encephalomyelitis

2010

Nathan Karin, PhD
Authors : Sapir Y, Vitenshtein A, Barsheshet Y, Zohar Y, Wildbaum G, Karin N.
J Immunol. 2010 Aug 15;185(4):2589-99.
Antigen-specific CD25- Foxp3- IFN-gamma(high) CD4+ T cells restrain the development of experimental allergic encephalomyelitis by suppressing Th17

2010

Nathan Karin, PhD
Authors : Wildbaum G, Zohar Y, Karin N.
Am J Pathol. 2010 Jun; 176(6):2764-75.
Circulating interleukin-10: association with higher mortality in systolic heart failure patients with elevated tumor necrosis factor-alpha

2010

Nitza Lahat, PhD
Authors : Amir O, Rogowski O, David M, Lahat N, Wolff R, Lewis BS.
Isr Med Assoc J. 2010 Mar;12(3):158-62.
In vitro tRNA Methylation Assay with the Entamoeba histolytica DNA and tRNA Methyltransferase Dnmt2 (Ehmeth) Enzyme

2010

Serge Ankri, PhD
Authors : Tovy A, Hofmann B, Helm M, Ankri S.
J Vis Exp. 2010 Oct 19;(44). pii: 2390. doi: 10.3791/2390.
Circulating interleukin-10: association with higher mortality in systolic heart failure patients with elevated tumor necrosis factor-alpha

2010

Nitza Lahat, PhD
Authors : Amir O, Rogowski O, David M, Lahat N, Wolff R, Lewis BS
Isr Med Assoc J. 2010 Mar;12(3):158-62
A distinct mechanism for the ABC transporter BtuCD-BtuF revealed by the dynamics of complex formation.

2010

Oded Lewinson, PhD
Authors : Lewinson O, Lee AT, Locher KP, Rees DC.
Nat Struct Mol Biol. 17, 332-8.
Extracting Cell-Type-Specific Gene Expression Differences from Complex Tissues.

2010

Shai Shen-Orr, PhD
Authors : Shen-Orr SS*, Tibshirani R*, Khatri P, Bodian DL, Staedtler F, Perry NM, Hastie T, Sarwal MM, Davis MM*, Butte AJ*.
Nature Methods 7, 287-9.
The MAPK/ERK and PI(3)K Pathways Additively Coordinate the Transcription of Recombination-Activating Genes in B Lineage Cells.

2010

Doron Melamed, PhD
Authors : Novak R, Jacob E, Haimovich J, Avni O, Melamed D.
Immunol 185, 3239 – 3247.
Protein denitrosylation: enzymatic mechanisms and cellular functions

2009

Moran Benhar, PhD
Authors : Benhar, M., Forrester, M.T., Stamler, J.S.
Nat. Rev. Mol. Cell Biol. 10:721-32.
Psoriasis patients generate increased serum levels of autoantibodies to tumor necrosis factor-alpha and interferon-alpha

2009

Nathan Karin, PhD
Authors : Bergman R, Ramon M, Wildbaum G, Avitan-Hersh E, Mayer E, Shemer A, Karin N.
J Dermatol Sci. 2009 Oct 1. Epub
The role of macrophage-derived IL-1 in induction and maintenance of angiogenesis

2009

Nitza Lahat, PhD
Authors : Carmi Y, Voronov E, Dotan S, Lahat N, Rahat MA, Fogel M, Huszar M, White MR, Dinarello CA, Apte RN.
J Immunol. 2009 Oct 1;183(7):4705-14.
Insights into the mechanism of DNA recognition by the methylated LINE binding protein EhMLBP of Entamoeba histolytica

2009

Serge Ankri, PhD
Authors : Lavi T, Siman-Tov R, Ankri S.
Mol Biochem Parasitol. 2009 Aug;166(2):117-25. Epub 2009 Mar 20.
A novel recombinant fusion protein encoding a 20-amino acid residue of the third extracellular (E3) domain of CCR2 neutralizes the biological activity of CCL2

2009

Nathan Karin, PhD
Authors : Izhak L, Wildbaum G, Zohar Y, Anunu R, Klapper L, Elkeles A, Seagal J, Yefenof E, Ayalon-Soffer M, Karin N
J Immunol. 2009 Jul 1;183(1):732-9
Selective autoantibody production against CCL3‭ ‬is associated with human type 1‭ ‬diabetes mellitus and serves as a novel biomarker for its diagnosis

2009

Nathan Karin, PhD
Authors : Shehadeh N‭, ‬Pollack S‭, ‬Wildbaum G‭, ‬Zohar Y‭, ‬Shafat I‭, ‬Makhoul R‭, ‬Daod E‭,‬
J Immunol‭. ‬2009‭ ‬Jun 15‭;‬182‭(‬12‭):‬8104-9
The effect of 100% oxygen on intestinal preservation and recovery following ischemia-reperfusion injury in rats

2009

Nitza Lahat, PhD
Authors : Sukhotnik I, Brod V, Lurie M, Rahat MA, Shnizer S, Lahat N, Mogilner JG, Bitterman H.
Crit Care Med. 2009 Mar;37(3):1054-61.
Transcriptional regulation of GATA3 in T helper cells by the integrated activities of transcription factors downstream of the interleukin-4 receptor and T cell receptor

2009

Orly Avni, PhD
Authors : Scheinman EJ, Avni O.
J Biol Chem. 2009 30;284(5):3037-48.
TOLL-like receptor ligands stimulate aberrant class switch recombination in early B cell precursors

2008

Doron Melamed, PhD
Authors : Edry E, Azulay-Debby H, Melamed D.
Int Immunol. 2008 Dec;20(12):1575-85. Epub 2008 Oct 29.
EhMLBP is an essential constituent of the Entamoeba histolytica epigenetic machinery and a potential drug target

2008

Serge Ankri, PhD
Authors : Lavi T, Siman-Tov R, Ankri S.
Mol Microbiol. 2008 Jul;69(1):55-66. Epub 2008 May 12
Hypoxia enhances lysosomal TNF-α degradation in mouse peritoneal macrophages

2008

Nitza Lahat, PhD
Authors : Lahat, N., Rahat, M. A., Kinarty, A., Weiss-Cerem, L., Pinchevski, S., Bitterman, H.
Am J Physiol Cell Physiol 295, C2-12.
What do unicellular organisms teach us about DNA methylation?

2008

Serge Ankri, PhD
Authors : Harony H
Trends Parasitol. 2008 May;24(5):205-9. Epub 2008 Apr 9. PMID: 18403268 [PubMed – in process]
Regulated protein denitrosylation by cytosolic and mitochondrial thioredoxins

2008

Moran Benhar, PhD
Authors : Benhar, M., Forrester, M.T., Hess, D.T., Stamler, J.S.
Science 320:1050-4
Trichostatin A regulates peroxiredoxin expression and virulence of the parasite Entamoeba histolytica.

2008

Serge Ankri, PhD
Authors : Isakov E, Siman-Tov R, Weber C, Guillen N
Mol Biochem Parasitol. 2008 Mar;158(1):82-94.
Progress and prospects of gene inactivation in Entamoeba histolytica.

2008

Serge Ankri, PhD
Authors : Abed M
Exp Parasitol. 2008 Feb;118(2):151-5
Class switch recombination: a friend and a foe.

2007

Doron Melamed, PhD
Authors : Edry E.
Clin Immunol. 2007 Jun;123(3):244-51.
Native and fragmented fibronectin oppositely modulate monocyte secretion of MMP-9

2007

Nitza Lahat, PhD
Authors : Marom, B., Rahat, M. A., Lahat, N., Weiss-Cerem, L., Kinarty, A., Bitterman, H.
J Leukoc Biol 81, 1466-1476.
SLP-76 mediates and maintains activation of the Tec family kinase ITK via the T cell antigen receptor-induced association between SLP-76 and ITK.

2007

Deborah Yablonski, PhD
Authors : Bogin Y, Ainey C, Beach D
Proc Natl Acad Sci U S A. 2007 Apr 17;104(16):6638-43.
Dual role of SLP-76 in mediating T cell receptor-induced activation of phospholipase C-gamma1.

2007

Deborah Yablonski, PhD
Authors : Beach D, Gonen R, Bogin Y, Reischl IG
J Biol Chem. 2007 Feb 2;282(5):2937-46. Epub 2006 Dec 4.
B cell receptor editing in tolerance and autoimmunity.

2007

Doron Melamed, PhD
Authors : Azulay-Debby H.
Front Biosci. 2007 Jan 1;12:2136-47.
Genome-wide analysis of mRNA polysomal profiles with spotted DNA microarrays.

2007

Doron Melamed, PhD
Authors : Arava Y.
Methods Enzymol. 2007;431:177-201
Coadministration of plasmid DNA constructs encoding an encephalitogenic determinant and IL-10 elicits regulatory T cell-mediated protective immunity in the central nervous system.

2006

Nathan Karin, PhD
Authors : Schif-Zuck S, Wildbaum G, Karin N.
J Immunol. 2006 Dec 1;177(11):8241-7.
Sensing DNA methylation in the protozoan parasite Entamoeba histolytica.

2006

Serge Ankri, PhD
Authors : Lavi T, Isakov E, Harony H, Fisher O, Siman-Tov R.
Mol Microbiol. 2006 Dec;62(5):1373-86.
Modulation of matrix metalloproteinase-9 (MMP-9) secretion in B lymphopoiesis.

2006

Doron Melamed, PhD
Authors : Melamed D, Messika O, Glass-Marmor L, Miller A.
Int Immunol. 2006 Sep;18(9):1355-62.
A Pak- and Pix-dependent branch of the SDF-1alpha signalling pathway mediates T cell chemotaxis across restrictive barriers.

2006

Deborah Yablonski, PhD
Authors : Volinsky N, Gantman A, Yablonski D.
Biochem J. 2006 Jul 1;397(1):213-22. PMID: 16515536 [PubMed – in process]
DNA methylation and targeting of LINE retrotransposons in Entamoeba histolytica and Entamoeba invadens.

2006

Serge Ankri, PhD
Authors : Harony H, Bernes S, Siman-Tov R, Ankri S.
Mol Biochem Parasitol. 2006 May;147(1):55-63. Epub 2006 Feb 23. PMID: 16530279 [PubMed � in process]
Pleiotropic phenotype in Entamoeba histolytica overexpressing DNA methyltransferase (Ehmeth).

2006

Serge Ankri, PhD
Authors : Fisher O, Siman-Tov R, Ankri S.
Mol Biochem Parasitol. 2006 May;147(1):48-54. Epub 2006 Feb 9. PMID: 16497397 [PubMed � in process]
Hypoxia reduces the output of matrix metalloproteinase-9 (MMP-9) in monocytes by inhibiting its secretion and elevating membranal association

2006

Nitza Lahat, PhD
Authors : Rahat, M. A., Marom, B., Bitterman, H., Weiss-Cerem, L., Kinarty, A., Lahat, N.
J Leukoc Biol 79, 706-718.
Antisense inhibition of Entamoeba histolytica cysteine proteases inhibits colonic mucus degradation

2006

Serge Ankri, PhD
Authors : Moncada D, Keller K, Ankri S, Mirelman D, Chadee K.
Gastroenterology. 2006 Mar;130(3):721-30. PMID: 16530514 [PubMed � indexed for MEDLINE]
Beneficial autoimmunity participates in the regulation of rheumatoid arthritis.

2006

Nathan Karin, PhD
Authors : Zohar Y, Wildbaum G, Karin N.
Front Biosci. 2006 Jan 1;11:368-79. Review. PMID: 16146738 [PubMed – indexed for MEDLINE]
The RNA polymerase II subunit Rpb4p mediates decay of a specific class of mRNAs.

2005

Doron Melamed, PhD
Authors : Lotan R, Bar-On VG, Harel-Sharvit L, Duek L, Melamed D, Choder M.
Genes Dev. 2005 Dec 15;19(24):3004-16. PMID: 16357218 [PubMed – indexed for MEDLINE]
Single point mutations in the zinc finger motifs of the human immunodeficiency virus type 1 nucleocapsid alter RNA binding specificities of the gag protein and enhance packaging and infectivity.

2005

Doron Melamed, PhD
Authors : Mark-Danieli M, Laham N, Kenan-Eichler M, Castiel A, Melamed D, Landau M, Bouvier NM, Evans MJ, Bacharach E.
J Virol. 2005 Jun;79(12):7756-67. PMID: 15919928 [PubMed – indexed for MEDLINE]
Molecular characterization of Entamoeba histolytica Rnase III and AGO2, two RNA interference hallmark proteins.

2005

Serge Ankri, PhD
Authors : Abed M, Ankri S.
Exp Parasitol. 2005 Jul;110(3):265-9. Epub 2005 Apr 7. PMID: 15955322 [PubMed � indexed for MEDLINE]
Targeted overexpression of IL-18 binding protein at the central nervous system overrides flexibility in functional polarization of antigen-specific Th2 cells.

2005

Nathan Karin, PhD
Authors : Schif-Zuck S, Westermann J, Netzer N, Zohar Y, Meiron M, Wildbaum G, Karin N.
Immunol. 2005 Apr 1;174(7):4307-15. PMID: 15778395 [PubMed – indexed for MEDLINE]
T cell receptor-induced activation of phospholipase C-gamma1 depends on a sequence-independent function of the P-I region of SLP-76.

2005

Deborah Yablonski, PhD
Authors : Gonen R, Beach D, Ainey C, Yablonski D.
J Biol Chem. 2005 Mar 4;280(9):8364-70. Epub 2004 Dec 28. PMID: 15623534 [PubMed – indexed for MEDLINE]
Naive, effector, and memory T lymphocytes efficiently scan dendritic cells in vivo: contact frequency in T cell zones of secondary lymphoid organs does not depend on LFA-1 expression and facilitates

2005

Nathan Karin, PhD
Authors : Westermann J, Bode U, Sahle A, Speck U, Karin N, Bell EB, Kalies K, Gebert A.
J Immunol. 2005 Mar 1;174(5):2517-24. PMID: 15728457 [PubMed – indexed for MEDLINE]
Antigen receptor signaling competence and the determination of B cell fate in B-lymphopoiesis.

2005

Doron Melamed, PhD
Authors : Keren Z, Melamed D.
Histol Histopathol. 2005 Jan;20(1):187-96. Review. PMID: 15578437 [PubMed – indexed for MEDLINE]
CD19 regulates positive selection and maturation in B lymphopoiesis: lack of CD19 imposes developmental arrest of immature B cells and consequential stimulation of receptor editing.

2005

Doron Melamed, PhD
Authors : Diamant E, Keren Z, Melamed D.
Blood ;105:3247-3254.
Entamoeba histolytica DNA methyltransferase (Ehmeth) is a nuclear matrix protein that binds EhMRS2, a DNA that includes a scaffold/matrix attachment region (S/MAR).

2005

Serge Ankri, PhD
Authors : Banerjee S, Fisher O, Lohia A, Ankri S.
Mol Biochem Parasitol. 2005 Jan;139(1):91-7. PMID: 15610823 [PubMed � indexed for MEDLINE]
Epigenetic and classical activation of Entamoeba histolytica heat shock protein 100 (EHsp100) expression.

2005

Serge Ankri, PhD
Authors : Bernes S, Siman-Tov R, Ankri S.
FEBS Lett;579:6395-6402.
T cell receptor-induced activation of phospholipase C-γ1 depends on a sequence-independent function of the P-I region of SLP-76.

2005

Deborah Yablonski, PhD
Authors : Gonen R, Beach D, Ainey C, Yablonski D.
J Biol Chem ;280:8364-8370.
Characterization of cytosine methylated regions and 5-cytosine DNA methyltransferase (Ehmeth) in the protozoan parasite Entamoeba histolytica.

2004

Serge Ankri, PhD
Authors : Fisher O, Siman-Tov R, Ankri S.
Nucleic Acids Res ;1:287-297.
Modification of ligandindependent B cell receptor tonic signals activates receptor editing in immature B lymphocytes.

2004

Doron Melamed, PhD
Authors : Keren Z, Diamant E, Ostrovsky O, Bengal E, Melamed D.
J Biol Chem ;279:13418-13424.
A failsafe mechanism for negative selection of isotype-switched B cell precursors is regulated by the Fas/FasL pathway

2003

Doron Melamed, PhD
Authors : Seagal J, Edry E, Keren Z, Leider N, Benny O, Machluf M, Melamed D.
J Exp Med ;198:1609-1619.
Beneficial autoimmunity to proinflammatory mediators restrains the consequences of self-destructive immunity.

2003

Nathan Karin, PhD
Authors : Wildbaum G, Nahir MA, Karin N.
Immunity;19:679-688.
T(H) cell differentiation is accompanied by dynamic changes in histone acetylation of cytokine genes.

2002

Orly Avni, PhD
Authors : Avni O, Lee D, Macian F, Szabo SJ, Glimcher LH, Rao A.
Nat Immunol ;3:643-651.
Tr1 cell-dependent active tolerance blunts the pathogenic effects of determinant spreading.

2002

Nathan Karin, PhD
Authors : Wildbaum G, Netzer N, Karin N.
J Clin Invest ;110:701-710.
A PAK1-PIX-PKL complex is activated by the T-cell receptor independent of Nck, Slp-76 and LAT.

2001

Deborah Yablonski, PhD
Authors : Ku GM, Yablonski D, Manser E, Lim L, Weiss A.
EMBO Journal ;20:457-465.
Identification of a phospholipase C-γ1 (PLC- γ1) SH3 domain-binding site in SLP-76 required for T-cell receptor-mediated activation of PLC-γ1 and NFAT

2001

Deborah Yablonski, PhD
Authors : Yablonski D, Kadlecek T, Weiss A.
Mol Cell Biol ;21:4208-4218.
C-C chemokineencoding DNA vaccines enhance breakdown of tolerance to their gene products and treat ongoing adjuvant arthritis.

2000

Nathan Karin, PhD
Authors : Youssef S, Maor G, Wildbaum G, Grabie N, Gour-Lavie A, Karin N.
J Clin Invest ;106:361-371.
Cell-type-restricted binding of the transcription factor NFAT to a distal IL-4 enhancer in vivo.

2000

Orly Avni, PhD
Authors : Agarwal S, Avni O, Rao A.
Immunity ;12:643-652.
T cell differentiation: a mechanistic view.

2000

Orly Avni, PhD
Authors : Avni O, Rao A.
Curr Opin Immunol; 12:654-659.
A systemic cytokine response defect stratifies older adults into distinct immune profiles.

1900

Shai Shen-Orr, PhD
Authors : Shen-Orr SS*, Furman D*, Kidd BA, Morgan A, Lovelace P, Rosenberg-Hasson Y, Maecker H, Mackey S, Dekker C, Butte AJ, Davis MM.
Submitted.

 

Read Full Post »

BWH Researchers: Genetic Variations can Influence Immune Cell Function: Risk Factors for Alzheimer’s Disease,DM, and MS later in life

 

Reporter: Aviva Lev-Ari, PhD, RN

 

Polarization of the Effects of Autoimmune and Neurodegenerative Risk Alleles in Leukocytes

  1. Towfique Raj1,2,3,4,
  2. Katie Rothamel5,
  3. Sara Mostafavi6,
  4. Chun Ye4,
  5. Mark N. Lee3,4,
  6. Joseph M. Replogle1,4,
  7. Ting Feng5,
  8. Michelle Lee1,
  9. Natasha Asinovski5,
  10. Irene Frohlich1,
  11. Selina Imboywa1,
  12. Alina Von Korff1,
  13. Yukinori Okada2,3,4,7,8,
  14. Nikolaos A. Patsopoulos1,2,3,4,
  15. Scott Davis5,
  16. Cristin McCabe1,4,
  17. Hyun-il Paik5,
  18. Gyan P. Srivastava1,2,3,4,
  19. Soumya Raychaudhuri2,3,4,9,
  20. David A. Hafler4,10,
  21. Daphne Koller6,
  22. Aviv Regev4,11,
  23. Nir Hacohen4,12,
  24. Diane Mathis5,
  25. Christophe Benoist5,*,
  26. Barbara E. Stranger13,14,*,
  27. Philip L. De Jager1,2,3,4,*

+Author Affiliations


  1. 1Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Departments of Neurology and Psychiatry, Brigham and Women’s Hospital, Boston, MA 02115, USA.

  2. 2Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA.

  3. 3Harvard Medical School, Boston, MA 02115, USA.

  4. 4The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.

  5. 5Department of Microbiology and Immunobiology, Division of Immunology, Harvard Medical School, Boston, MA 02115, USA.

  6. 6Department of Computer Science, Stanford University, Stanford, CA 94305, USA.

  7. 7Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.

  8. 8Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.

  9. 9Division of Rheumatology, Immunology and Allergy, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA.

  10. 10Departments of Neurology and Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA.

  11. 11Department of Biology, Massachusetts Institute of Technology, and Howard Hughes Medical Institute, Cambridge, MA 02139, USA.

  12. 12Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Charlestown, MA 02129, USA.

  13. 13Section of Genetic Medicine, Department of Medicine, University of Chicago, IL 60637, USA.

  14. 14Institute for Genomics and Systems Biology, University of Chicago, Chicago, IL 60637, USA.
  1. ↵*Corresponding author. E-mail: christophe_benoist@hms.harvard.edu (C.B.);bstranger@medicine.bsd.uchicago.edu (B.E.S.); pdejager@partners.org (P.L.D.J.)


Immunogenetic Variation

Many genetic variants have been implicated in disease but their effects in function across tissues and cell-types remain to be resolved. Raj et al. (p. 519) present an analysis of expression quantative trait loci (eQTL) measuring messenger RNA levels and examined correlations between genotypes and gene expression in purified monocytes and T cells in healthy individuals of European, African, and Asian descent. Most, but not all, of the eQTLs and their effects on expression were shared between the populations, as well as a substantial proportion between the cell types. Links were found with disease-associated variants and loci that previous genome-wide analyses have implicated in neurodegenerative and autoimmune diseases.

ABSTRACT

To extend our understanding of the genetic basis of human immune function and dysfunction, we performed an expression quantitative trait locus (eQTL) study of purified CD4+ T cells and monocytes, representing adaptive and innate immunity, in a multi-ethnic cohort of 461 healthy individuals. Context-specific cis- and trans-eQTLs were identified, and cross-population mapping allowed, in some cases, putative functional assignment of candidate causal regulatory variants for disease-associated loci. We note an over-representation of T cell–specific eQTLs among susceptibility alleles for autoimmune diseases and of monocyte-specific eQTLs among Alzheimer’s and Parkinson’s disease variants. This polarization implicates specific immune cell types in these diseases and points to the need to identify the cell-autonomous effects of disease susceptibility variants.

SOURCE

http://www.sciencemag.org/content/344/6183/519.abstract?elq=3d8c1a6f41594f318278412bc0df79a2&elqCampaignId=14

 

 

 

Read Full Post »

Pharmocogenomics is a Multidirectional Street

 

Author and Curator: Demet Sag, PhD

There was a big undertake between CTD-Pfizer collaboration for manual curation of scientific articles text mined for drug-disease has a great partnering between public and private entities.  This effort leads common needs of the environmental health science and pharmaceutical communities. This drug and phenotype interactions as a result of  a collection of 88,629 articles relating over 1,200 pharmaceutical drugs to their potential toxicities in cardiovascular, neurological, kidney and liver .

In one year, CTD biocurators curated 254,173 toxicogenomic interactions

152,173 chemical-disease,

58,572 chemical-gene,

5,345 gene-disease and

38,083 phenotype interactions

Furthermore, drugability and genomics depends on bioinformatics for finding drug targets. In this token the Drug-Gene Interaction database (DGIdb) can be reached at http://dgidb.org/.

This database has an advantage since helps to prioritize drug development based on mutation types and potential druggable genes from existing resources.

Another method is pathway screening to identify the druggable genes that leads to development of an organism or cell or divergence during evolution.

However,  this process is not a straight line there are other factors that needs to be applied for a proper target identification. There are warning signs and cautions needs to be taken.

Identification of these side effects in addition to toxicities is important for the proper development. This is like yin and yen since one side trying to make it correct and the other side is destroying yet the positive affects wins the case.

Anticoagulant therapy has many adverse effects yet the patients prescribed since there is a need to correct the case yet there are expected adverse reactions.

As a  result, predicting the side effects and benchmarking them to understand the real problems in vivo is necessary.

Yet, still there is one more step to combine off target and side effects before making a decision based on the original drug- gene targets.  The applications opens doors from cell modifications specially in stem cells, vaccines, sensors, bioinformatics and wireless technologies as examples of the few.

There are other applications of knowing the gene-drug relations such as development of biosensors, sensors, vaccines, immune responses and redesigning or remodulating  the cells. In 1995  the complete genome of a pathogenic bacterium published . Since then virologist immunologists, vaccineoloist are all lookin for epitope mapping tools to screen vaccine candidates.  This new wave is called  ‘genome to vaccine’.

The examples of bionformatics tools currently, in use are for example, include to search for unique or multi-HLA-restricted T cell epitopes (piMatrix),  to find epitopes that are conserved across variant strains of the same pathogen (Conservatrix), to identify similarity to ‘self’ (BlastiMer) or  to assemble putative epitopes into strings if they overlap (EpiAssembler).

As a result, several solutions are developed to identify novel targets by complementing or combining methods, or following up the clinical trials, subtractive genome analysis are the name of few. In addtion, the combinatorial algorithm for maximizing inclusion drugs but minimize off-targets is necessary.

 

REFERENCES

http://ctdbase.org/

Targeted journal curation as a method to improve data currency at the Comparative Toxicogenomics Database.

Davis AP1, Johnson RJ, Lennon-Hopkins K, Sciaky D, Rosenstein MC, Wiegers TC, Mattingly CJ.

Database (Oxford). 2012 Dec 6;2012:bas051. doi: 10.1093/database/bas051. Print 2012.

DGIdb: mining the druggable genome.

Nat Methods. 2013 Dec;10(12):1209-10. doi: 10.1038/nmeth.2689. Epub 2013 Oct 13.

Griffith M1, Griffith OL, Coffman AC, Weible JV, McMichael JF, Spies NC, Koval J, Das I, Callaway MB, Eldred JM, Miller CA, Subramanian J, Govindan R, Kumar RD, Bose R, Ding L, Walker JR, Larson DE, Dooling DJ, Smith SM, Ley TJ, Mardis ER, Wilson RK.

A CTD-Pfizer collaboration: manual curation of 88,000 scientific articles text mined for drug-disease and drug-phenotype interactions.

Davis AP1, Wiegers TC, Roberts PM, King BL, Lay JM, Lennon-Hopkins K, Sciaky D, Johnson R, Keating H, Greene N, Hernandez R, McConnell KJ,Enayetallah AE, Mattingly CJ.

Database (Oxford). 2013 Nov 28;2013:bat080. doi: 10.1093/database/bat080. Print 2013.

Text mining effectively scores and ranks the literature for improving chemical-gene-disease curation at the comparative toxicogenomics database.

Davis AP1, Wiegers TC, Johnson RJ, Lay JM, Lennon-Hopkins K, Saraceni-Richards C, Sciaky D, Murphy CG, Mattingly CJ.

PLoS One. 2013 Apr 17;8(4):e58201. doi: 10.1371/journal.pone.0058201. Print 2013.

Systematic identification of proteins that elicit drug side effects.

Kuhn M1, Al Banchaabouchi M, Campillos M, Jensen LJ, Gross C, Gavin AC, Bork P.

Mol Syst Biol. 2013;9:663. doi: 10.1038/msb.2013.10.

Prediction of immunogenicity for therapeutic proteins: state of the art.

De Groot AS1,

Moise L. Curr Opin Drug Discov Devel. 2007 May;10(3):332-40.

De-immunization of therapeutic proteins by T-cell epitope modification.

De Groot AS1, Knopp PM, Martin W.

Dev Biol (Basel). 2005;122:171-94.

From immunome to vaccine: epitope mapping and vaccine design tools.

De Groot AS1, Martin W.

Novartis Found Symp. 2003;254:57-72; discussion 72-6, 98-101, 250-2.

Combinatorial therapy discovery using mixed integer linear programming.

Pang K1, Wan YW, Choi WT, Donehower LA, Sun J, Pant D, Liu Z.

  1.  2014 Feb 21. [Epub ahead of print]

Other articles on Pharmacogenomics published in this Open Access Online Scientific Journal include the following:

Pharmacogenomics for Cardiovascular Diseases

Blood Pressure Response to Antihypertensives: Hypertension Susceptibility Loci Study

Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2014/01/02/blood-pressure-response-to-antihypertensives-atenolol-and-hydrochlorothiazide-hypertension-susceptibility-loci-study/ 

Statin-Induced Low-Density Lipoprotein Cholesterol Reduction: Genetic Determinants in the Response to Rosuvastatin

Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2014/01/02/statin-induced-low-density-lipoprotein-cholesterol-reduction-genetic-determinants-in-the-response-to-rosuvastatin/

SNPs in apoE are found to influence statin response significantly. Less frequent variants in PCSK9 and smaller effect sizes in SNPs in HMGCR

Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2014/01/02/snps-in-apoe-are-found-to-influence-statin-response-significantly-less-frequent-variants-in-pcsk9-and-smaller-effect-sizes-in-snps-in-hmgcr/

Voltage-Gated Calcium Channel and Pharmacogenetic Association with Adverse Cardiovascular Outcomes: Hypertension Treatment with Verapamil SR (CCB) vs Atenolol (BB) or Trandolapril (ACE)

Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2014/01/02/voltage-gated-calcium-channel-and-pharmacogenetic-association-with-adverse-cardiovascular-outcomes-hypertension-treatment-with-verapamil-sr-ccb-vs-atenolol-bb-or-trandolapril-ace/

Response to Rosuvastatin in Patients With Acute Myocardial Infarction: Hepatic Metabolism and Transporter Gene Variants Effect

Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2014/01/02/response-to-rosuvastatin-in-patients-with-acute-myocardial-infarction-hepatic-metabolism-and-transporter-gene-variants-effect/

Helping Physicians identify Gene-Drug Interactions for Treatment Decisions: New ‘CLIPMERGE’ program – Personalized Medicine @ The Mount Sinai Medical Center

Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/04/15/helping-physicians-identify-gene-drug-interactions-for-treatment-decisions-new-clipmerge-program-personalized-medicine-the-mount-sinai-medical-center/

Leveraging Mathematical Models to Understand Population Variability in Response to Cardiac Drugs: Eric Sobie, PhD

Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2013/04/22/leveraging-mathematical-mod

els-to-understand-population-variability-in-response-to-cardiac-drugs-eric-s

obie-phd/ 

Is Pharmacogenetic-based Dosing of Warfarin Superior for Anticoagulation Control?

Aviva Lev-Ari, PhD, RN

http://pharmaceuticalintelligence.com/2014/02/04/is-pharmacogenetic-based-dosing-of-warfarin-superior-for-anticoagulation-control/

 

 

 

 

Read Full Post »

Introduction to Translational Medicine (TM) – Part 1: Translational Medicine

Introduction to Translational Medicine (TM) – Part 1: Translational Medicine

Author and Curator: Larry H Bernstein, MD, FCAP

and

Curator: Aviva Lev-Ari, PhD, RN 

Article ID #134: Introduction to Translational Medicine (TM) – Part 1: Translational Medicine. Published on 4/25/2014

WordCloud Image Produced by Adam Tubman

 

This document in the Series A: Cardiovascular Diseases e-Series Volume 4: Translational and Regenerative Medicine,  is a measure of the postgenomic and proteomic advances in the laboratory to the practice of clinical medicine.  The Chapters are preceded by several videos by prominent figures in the emergence of this transformative change.  When I was a medical student, a large body of the current language and technology that has extended the practice of medicine did not exist, but a new foundation, predicated on the principles of modern medical education set forth by Abraham Flexner, was sprouting.  The highlights of this evolution were:

  • Requirement for premedical education in biology, organic chemistry, physics, and genetics.
  • Medical education included two years of basic science education in anatomy, physiology, pharmacology, and pathology prior to introduction into the clinical course sequence of the last two years.
  • Post medical graduate education was an internship year followed by residency in pediatrics, OBGyn, internal medicine, general surgery, psychiatry, neurology, neurosurgery, pathology, radiology, and anesthesiology, emergency medicine.
  • Academic teaching centers were developing subspecialty centers in ophthalmology, ENT and head and neck surgery, cardiology and cardiothoracic surgery, and hematology, hematology/oncology, and neurology.
  • The expansion of postgraduate medical programs included significant postgraduate funding for programs by the National Institutes of Health, and the NIH had faculty development support in a system of peer-reviewed research grant programs in medical and allied sciences.

The period after the late 1980s saw a rapid expansion of research in genomics and drug development to treat emerging threats of infectious diseases as US had a large worldwide involvement after the end of the Vietnam War, and drug resistance was increasingly encountered (malaria, tick borne diseases, salmonellosis, pseudomonas aeruginosa, staphylococcus aureus, etc.).

Moreover, the post-millenium found a large, dwindling population of veterans who had served in WWII and Vietnam, and cardiovascular, musculoskeletal,  dementias, and cancer were now more common.  The Human Genome Project was undertaken to realign the existing knowledge of gene structure and genetic regulation with the needs for drug development, which was languishing in development failures due to unexpected toxicities.

A substantial disconnect existed between diagnostics and pharmaceutical development, which had been over-reliant on modification of known organic structures to increase potency and reduce toxicity.  This was about to change with changes in medical curricula, changes in residency programs and physicians cross-training in disciplines, and the emergence of bio-pharma, based on the emerging knowledge of the cell function, and at the same time, the medical profession was developing an evidence-base for therapeutics, and more pressure was placed on informed decision-making.

The great improvement in proteomics came from GCLC/MS-MS and is described in the video interview with Dr. Gyorgy Marko-Varga, Sweden, in video 1 of 3 (Advancing Translational Medicine).  This is a discussion that is focused on functional proteomics role in future diagnostics and therapy, involving a greater degree of accuracy in mass spectrometry (MS) than can be obtained by antibody-ligand binding, and is illustrated below, the last emphasizing the importance of information technology and predictive analytics

Thermo ScientificImmunoassays and LC–MS/MS have emerged as the two main approaches for quantifying peptides and proteins in biological samples. ELISA kits are available for quantification, but inherently lack the discriminative power to resolve isoforms and PTMs.

To address this issue we have developed and applied a mass spectrometry immunoassay–selected reaction monitoring (Thermo Scientific™ MSIA™ SRM technology) research method to quantify PCSK9 (and PTMs), a key player in the regulation of circulating low density lipoprotein cholesterol (LDL-C).

A Day in the (Future) Life of a Predictive Analytics Scientist

 

By Lars Rinnan, CEO, NextBridge   April 22, 2014

A look into a normal day in the near future, where predictive analytics is everywhere, incorporated in everything from household appliances to wearable computing devices.

During the test drive (of an automobile), the extreme acceleration makes your heart beat so fast that your personal health data sensor triggers an alarm. The health data sensor is integrated into the strap of your wrist watch. This data is transferred to your health insurance company, so you say a prayer that their data scientists are clever enough to exclude these abnormal values from your otherwise impressive health data. Based on such data, your health insurance company’s consulting unit regularly gives you advice about diet, exercise, and sleep. You have followed their advice in the past, and your performance has increased, which automatically reduced your insurance premiums. Win-win, you think to yourself, as you park the car, and decide to buy it.

In the clinical presentation at Harlan Krumholtz’ Yale Symposium, Prof. Robert Califf, Director of the Duke University Translational medicine Clinical Research Institute, defines translational medicine as effective translation of science to clinical medicine in two segments:

  1. Adherence to current standards
  2. Improving the enterprise by translating knowledge

He says that discrepancies between outcomes and medical science will bridge a gap in translation by traversing two parallel systems.

  1. Physician-health organization
  2. Personalized medicine

He emphasizes that the new basis for physician standards will be legitimized in the following:

  1. Comparative effectiveness (Krumholtz)
  2. Accountability

Some of these points are repeated below:

WATCH VIDEOS ON YOUTUBE

https://www.youtube.com/watch?v=JFdJRh9ZPps#t=678  Harlan Krumholtz

https://www.youtube.com/watch?v=JFdJRh9ZPps#t=678  complexity

https://www.youtube.com/watch?v=JFdJRh9ZPps#t=678  integration map

https://www.youtube.com/watch?v=JFdJRh9ZPps#t=678  progression

https://www.youtube.com/watch?v=JFdJRh9ZPps#t=678  informatics

An interesting sidebar to the scientific medical advances is the huge shift in pressure on an insurance system that has coexisted with a public system in Medicare and Medicaid, initially introduced by the health insurance industry for worker benefits (Kaiser, IBM, Rockefeller), and we are undertaking a formidable change in the ACA.

The current reality is that actuarially, the twin system that has existed was unsustainable in the long term because it is necessary to have a very large pool of the population to spread the costs, and in addition, the cost of pharmaceutical development has driven consolidation in the industry, and has relied on the successes from public and privately funded research.

https://www.youtube.com/watch?v=X6J_7PvWoMw#t=57  Corbett Report Nov 2013

(1979 ER Brown)  UCPress  Rockefeller Medicine Men

https://www.youtube.com/watch?v=X6J_7PvWoMw#t=57   Liz Fowler VP of Wellpoint (designed ACA)

I shall digress for a moment and insert a video history of DNA, that hits the high points very well, and is quite explanatory of the genomic revolution in medical science, biology, infectious disease and microbial antibiotic resistance, virology, stem cell biology, and the undeniability of evolution.

DNA History

https://www.youtube.com/watch?v=UUDzN4w8mKI&list=UUoHRSQ0ahscV14hlmPabkVQ

As I have noted above, genomics is necessary, but not sufficient.  The story began as replication of the genetic code, which accounted for variation, but the accounting for regulation of the cell and for metabolic processes was, and remains in the domain of an essential library of proteins. Moreover, the functional activity of proteins, at least but not only if they are catalytic, shows structural variants that is characterized by small differences in some amino acids that allow for separation by net charge and have an effect on protein-protein and other interactions.

Protein chemistry is so different from DNA chemistry that it is quite safe to consider that DNA in the nucleotide sequence does no more than establish the order of amino acids in proteins. On the other hand, proteins that we know so little about their function and regulation, do everything that matters including to set what and when to read something in the DNA.

Jose Eduardo de Salles Roselino

Chapters 2, 3, and 4 sequentially examine:

  • The causes and etiologies of cardiovascular diseases
  • The diagnosis, prognosis and risks determined by – biomarkers in serum, circulating cells, and solid tissue by contrast radiography
  • Treatment of cardiovascular diseases by translation of science from bench to bedside, including interventional cardiology and surgical repair

These are systematically examined within a framework of:

  • Genomics
  • Proteomics
  • Cardiac and Vascular Signaling
  • Platelet and Endothelial Signaling
  • Cell-protein interactions
  • Protein-protein interactions
  • Post-Translational Modifications (PTMs)
  • Epigenetics
  • Noncoding RNAs and regulatory considerations
  • Metabolomics (the metabolome)
  • Mitochondria and oxidative stress

 

Read Full Post »

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

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

Author: Larry H. Bernstein, MD, FCAP

Cancer Volume One – Summary

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

 

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

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

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

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

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

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

inhibitors of signaling pathways-1

http://www.SelleckChem.com

 

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

Bioenergetics of Cancer cells

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

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

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

Membrane potential(Vm)

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

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

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

Perspective beyond Cancer Genomics: Bioenergetics of Cancer Stem Cells

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

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

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

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

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

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

see also –

The tumor suppressor function of mitochondria: Translation into the clinics

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

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

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

Carl Zimmer, MY Times  October 5, 2009

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

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

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

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

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

 

Essentiality of pyruvate kinase, oxidation, and phosphorylation

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

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

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

Print

 

 

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

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

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

 

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

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

AMPK as an energy sensor and metabolic switch

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

 

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

 

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

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

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

 

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

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

 

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

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

 

 

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

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

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

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

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

Analysis of respiration  in human cancer

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

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

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

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

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

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

Metabolic control analysis of respiration in human cancer tissue.

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

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

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

Metabolic control analysis of respiration in human cancer tissue

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

Role of Uncoupling Proteins in Cancer

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

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

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

The Warburg Effect

Uncoupling the Warburg effect from cancer

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

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

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

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

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

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

 

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

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

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

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

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

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

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

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

 

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

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

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

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

 

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

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

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

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

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

 

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

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

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

 

The metabolic advantage of tumor cells

Maurice Israël and Laurent Schwartz

Additional article information

Abstract

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

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

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

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

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

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

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

Introduction

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

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

I Abnormal metabolism of tumors, a selective advantage

The initial observation of Warburg 1956 on tumor glycolysis with lactate production is still a crucial observation [1]. Two fundamental findings complete the metabolic picture: the discovery of the M2 pyruvate kinase (PK) typical of tumors [2] and the implication of tyrosine kinase signals and subsequent phosphorylations in the M2 PK blockade [3–5].

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

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

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

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

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

We also know that starvation mobilizes lipid stores from adipocyte to form ketone bodies, they are like glucose, nutriments for cells. Growth hormone, cAMP, AMP, activate a lipase, which provides fatty acids; their β oxidation cuts them into acetyl CoA in mitochondria and in peroxisomes for very long fatty acids; forming ketone bodies. Normally, citrate synthase slows down, to spare acetyl CoA for the ketogenic route, and OAA for the gluconeogenic pathway. Like for starvation, tumors mobilize lipid stores. But here, citrate synthase activity is elevated, condensing acetyl CoA and OAA [11–13]; citrate increases, ketone bodies decrease. Consequently, ketone bodies will stop stimulating Pcarb. In tumors, the OAA needed for citrate synthase will presumably come from PEP, via reversible PEP carboxykinase or other sources. The quiescent Pcarb will not process the pyruvate produced by alanine transamination after proteolysis, leaving even more pyruvate to lactate dehydrogenase, increasing the lactate released by the tumor, and the NAD+ required for glycolysis.

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

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

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

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

The Figure ​Figure11 indicates that malate dehydrogenase is a source of NAD+ converting OAA into malate, which backs-up LDH. Part of the malate converts to pyruvate (malic enzyme) and processed by LDH. Moreover, malate enters in mitochondria via the shuttle and gives back OAA to feed the citrate condensation. Glutamine will also provide amino groups for the “de novo” synthesis of purine and pyrimidine bases particularly needed by tumor cells. The Figure ​Figure11 indicates that ASP shuttled out of the mitochondrial, joins the ASP formed by cytosolic transaminases, to feed the synthesis of pyrimidine bases via ASP transcarbamylase, a process also enhanced in tumor cells. In tumors, this silences the argininosuccinate synthetase step of the urea cycle [18–20].

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

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

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

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

 II Starters for cancer metabolic anomaly

1. Lessons from oncogenes

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

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

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

In addition to the MAP kinase mitogenic pathway, tyrosine kinase receptors activate PI3 kinase pathways; PTEN phosphatase counteracts this effect, thus acting as a tumor suppressor. Recall that a DNA virus, the Epstein-Barr virus of infectious mononucleose, gives also the Burkitt lymphoma; the effect of the virus is to enhance PI3 kinase. Down stream, we find mTOR (the target of rapamycine, an immune-suppressor) mTOR, inhibits PP2A phosphatase, which is also a target for the simian SV40 and Polyoma viruses. Schematically, one may consider that the different steps of MAP kinase pathways are targets for retroviruses, while the different steps of PI3 kinase pathway are targets for DNA viruses. The viral-driven enhanced function of these pathways mimics the effects of their prolonged activation by their usual triggers, such as insulin or IGF; one then expects to find an associated increase of glycolysis. The insulin or IGF actions boost the cellular influx of glucose and glycolysis. However, if the signaling pathway gets out of control, the tyrosine kinase phosphorylations may lead to a parallel PK blockade [3–5] explaining the tumor bottleneck at the end of glycolysis. Since an activation of enyme kinases may indeed block essential enzymes (PK, PDH and others); in principle, the inactivation of phosphatases may also keep these enzymes in a phosphorylated form and lead to a similar bottleneck and we do know that oncogenes bind and affect PP2A phosphatase. In sum, a perturbed MAP kinase pathway, elicits metabolic features that would give to tumor cells their metabolic advantage.

2. The methylation hypothesis and the role of PP2A phosphatase

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

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

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

3. Cellular distribution of PP2A

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

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

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

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

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

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

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

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

Hypoxia is an essential issue to discuss

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

Growth hormone-IGF actions, the control of asymmetrical mitosis

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

Compounds for correcting tumor metabolism

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

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

Table - metabolic  targets

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

The origin of Cancers by means of metabolic selection

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

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

What are lncRNAs?

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

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

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

 

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

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

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

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

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

Targeting of  gene expression

Tumor Suppressor Genes and its Implications in Human Cancer

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

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

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

Oncogenes and cancer metabolism
Glycolysis  TCA cycle  Pentose phosphate pathway

 FIGURE 1

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

FIGURE 2

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

Serine biosynthesis

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

FIGURE 3

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

 

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

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

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

Tumor Suppressor Activity of a Constitutively-Active ErbB4 Mutant

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

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

EGF Receptor

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

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

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

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

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

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

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

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

 

 

 

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

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

Resistance to Receptor Tyrosine Kinase Inhibition

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

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

The TGF-β Pathway

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

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

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

G protein receptor

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

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

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

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

 Matrix Metalloproteinases

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

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

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

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

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

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

FIGURE 1 – Structure of human matrix metalloproteinases

 

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

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

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

    …………..

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

 

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

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

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

 Role of p38 MAP Kinase Signal Transduction in Solid Tumors

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

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

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

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

GTP cyclohydrolase (GCH1)

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

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

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

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

The Role of Stroma in Tumour-Host Co-Existence

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

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

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

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

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

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

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

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

Treatments for Cancer

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

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

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

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

Comprehensive molecular portraits of human breast tumors

 The Cancer Genome Atlas Network

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

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

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

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

Synbiology contribution and Nanotechnology

Synthetic RNAs Designed to Fight Cancer

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

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

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

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

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

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

A Neutralizing RNA Aptamer

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

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

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

In-Silico Molecular Docking Analysis of Cancer Biomarkers

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

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

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

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

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

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

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

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

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

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

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

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

Nutrition and Cancer

 Ascorbic Acid and Selenium Interaction: Its Relevance in Carcinogenesis

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

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

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

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

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

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

Avemar outshines new cancer ‘breakthrough’ drug

by Michael Traub
Townsend Letter / Oct, 2010

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

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

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

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

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

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

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

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

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

Avemar Ameliorates Conventional Treatment Side Effects

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

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

Why Avemar Works in Many Different Kinds of Cancer

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

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

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

Antimetastatic and Immune-Boosting Effects Are Key to Survival

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

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

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

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

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

Nanotechnology in Cancer Drug Delivery and Selective Targeting

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

 

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

 

Robots killing and suppressing cancer cells

 

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

 

Robots delivering payload

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

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

Molecular building blocks

 

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

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

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

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

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

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

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

 

Robot blocks neuron

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

 

automation of robotic surgery

 

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

Nanoparticles with computational logic has already been done

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

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

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

 

 robotic algorithm

 

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

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

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

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

 

robotic lung cancer Rx

 

chemotherapy regimen

 

Chemoprevention in Model Experiments

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

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

ALIS

 

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

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

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

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

 

 

 

 

 

 

Read Full Post »

Urine Test developed by MIT: A Paper Diagnostics amplifies Signals from Growing Tumors to detect Cancer

Reporter: Aviva Lev-Ari, PhD, RN

A paper diagnostic for cancer

Low-cost urine test developed by MIT engineers amplifies signals from growing tumors to detect disease.
Anne Trafton, MIT News Office
January 6, 2014
A paper diagnostic for cancer

The paper test strips, which work similar to a pregnancy test, reveal the presence of proteins associated with cancer. They can also be designed to detect other diseases.
PHOTO: BRYCE VICKMARK
February 24, 2014
Cancer rates in developing nations have climbed sharply in recent years, and now account for 70 percent of cancer mortality worldwide. Early detection has been proven to improve outcomes, but screening approaches such as mammograms and colonoscopy, used in the developed world, are too costly to be implemented in settings with little medical infrastructure.

To address this gap, MIT engineers have developed a simple, cheap, paper test that could improve diagnosis rates and help people get treated earlier. The diagnostic, which works much like a pregnancy test, could reveal within minutes, based on a urine sample, whether a person has cancer. This approach has helped detect infectious diseases, and the new technology allows noncommunicable diseases to be detected using the same strategy.

The technology, developed by MIT professor and Howard Hughes Medical Institute investigator Sangeeta Bhatia, relies on nanoparticles that interact with tumor proteins called proteases, each of which can trigger release of hundreds of biomarkers that are then easily detectable in a patient’s urine. 

“When we invented this new class of synthetic biomarker, we used a highly specialized instrument to do the analysis,” says Bhatia, the John and Dorothy Wilson Professor of Health Sciences and Technology and Electrical Engineering and Computer Science. “For the developing world, we thought it would be exciting to adapt it instead to a paper test that could be performed on unprocessed samples in a rural setting, without the need for any specialized equipment. The simple readout could even be transmitted to a remote caregiver by a picture on a mobile phone.” 

Bhatia, who is also a member of MIT’s Koch Institute for Integrative Cancer Research and Institute for Medical Engineering and Science, is the senior author of a paper describing the particles in the Proceedings of the National Academy of Sciences the week of Feb. 24. The paper’s lead authors are graduate student Andrew Warren, postdoc Gabriel Kwong, and former postdoc David Wood.

Amplifying cancer signals

In 2012, Bhatia and colleagues introduced the concept of a synthetic biomarker technology to amplify signals from tumor proteins that would be hard to detect on their own. These proteins, known as matrix metalloproteinases (MMPs), help cancer cells escape their original locations by cutting through proteins of the extracellular matrix, which normally holds cells in place.

The MIT nanoparticles are coated with peptides (short protein fragments) targeted by different MMPs. These particles congregate at tumor sites, where MMPs cleave hundreds of peptides, which accumulate in the kidneys and are excreted in the urine.

In the original version of the technology, these peptides were detected using an instrument called a mass spectrometer, which analyzes the molecular makeup of a sample. However, these instruments are not readily available in the developing world, so the researchers adapted the particles so they could be analyzed on paper, using an approach known as a lateral flow assay — the same technology used in pregnancy tests.

To create the test strips, the researchers first coated nitrocellulose paper with antibodies that can capture the peptides. Once the peptides are captured, they flow along the strip and are exposed to several invisible test lines made of other antibodies specific to different tags attached to the peptides. If one of these lines becomes visible, it means the target peptide is present in the sample. The technology can also easily be modified to detect multiple types of peptides released by different types or stages of disease.

“This is a clever and inspired technology to develop new exogenous compounds that can detect clinical conditions with aberrantly high protease concentrations,” says Samuel Sia, an associate professor of biological engineering at Columbia University who was not involved in the research. “Extending this technology to detection by strip tests is a big leap forward in bringing its use to outpatient clinics and decentralized health settings.”

In tests in mice, the researchers were able to accurately identify colon tumors, as well as blood clots. Bhatia says these tests represent the first step toward a diagnostic device that could someday be useful in human patients.

“This is a new idea — to create an excreted biomarker instead of relying on what the body gives you,” she says. “To prove this approach is really going to be a useful diagnostic, the next step is to test it in patient populations.”

Developing diagnostics 

To help make that happen, the research team recently won a grant from MIT’s Deshpande Center for Technological Innovation to develop a business plan for a startup that could work on commercializing the technology and performing clinical trials.

Bhatia says the technology would likely first be applied to high-risk populations, such as people who have had cancer previously, or had a family member with the disease. Eventually, she would like to see it used for early detection throughout developing nations.

Such technology might also prove useful in the United States, and other countries where more advanced diagnostics are available, as a simple and inexpensive alternative to imaging. “I think it would be great to bring it back to this setting, where point-of-care, image-free cancer detection, whether it’s in your home or in a pharmacy clinic, could really be transformative,” Bhatia says.

With the current version of the technology, patients would first receive an injection of the nanoparticles, then urinate onto the paper test strip. To make the process more convenient, the researchers are now working on a nanoparticle formulation that could be implanted under the skin for longer-term monitoring.

The team is also working to identify signatures of MMPs that could be exploited as biomarkers for other types of cancer, as well as for tumors that have metastasized.

The research was funded by a National Science Foundation Graduate Research Fellowship, a Mazumdar-Shaw International Oncology Fellowship, the Ruth L. Kirschstein National Research Service Award from the National Institutes of Health, the Burroughs Wellcome Fund, the National Cancer Institute, and the Howard Hughes Medical Institute.

SOURCE

Read Full Post »

More on the Performance of High Sensitivity Troponin T and with Amino Terminal Pro BNP in Diabetes

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

 

UPDATED on 9/1/2019

Risk-Based Thresholds for hs-Troponin I Safely Speed MI Rule-Out

HISTORIC suggests benefit to patients, clinicians

PARIS — Using different cutoffs for high-sensitivity cardiac troponin I (hs-cTnI) testing based on risk accurately ruled out MI and sent patients home from the emergency department sooner without missing adverse cardiac events, the HISTORIC trial found.

In the stepped-wedge trial of over 30,000 consecutive patients, introduction of the risk-based approach reduced length of stay at the emergency department by over 3 hours compared with standard care (6.8 vs 10.1 hours, P<0.001), reported Nicholas Mills, MD, PhD, of the University of Edinburgh in Scotland.

And 74% of patients under the new pathway were discharged without requiring hospital admission versus 53% under standard protocols (adjusted risk ratio 1.57, 95% CI 1.34-1.83, P<0.001).

For the primary safety endpoint, 2.5% of patients in the standard group died from cardiac causes or had an MI at 12 months post-discharge versus 1.8% of those in the early rule-out group (adjusted OR 1.02, 95% CI 0.74-1.40).

“Adoption of this approach will have major benefit for both patients and healthcare providers,” said Mills during a late-breaking press briefing at the 2019 European Society of Cardiology (ESC) congress.

For example, many patients will need only a single troponin test under the algorithm to lead to a decision on admission, he noted, which could have “absolutely enormous” cost savings.

SOURCE

https://www.medpagetoday.com/meetingcoverage/esc/81926?xid=nl_mpt_ACC_Reporter_2019-09-01&eun=g5099207d2r

 

UPDATED on 8/7/2018

Siemens’ high-sensitivity Troponin I (TnIH) assays got FDA clearance for use in diagnosing acute myocardial infarction. (Cardiovascular Business) The first high-sensitivity Troponin T test was cleared last year, as MedPage Today reported.

SOURCE

https://www.medpagetoday.com/cardiology/prevention/74423?xid=nl_mpt_cardiobreak2018-08-06&eun=g99985d0r&utm_source=Sailthru&utm_medium=email&utm_campaign=Ca

 

This is the final up to date review of the status of hs troponin T (or I) with or without the combined use of the Brain Type Natriuretic Peptide or its Amino Terminal peptide precursor.  In addition, a new identification of the role of the Atrial Natriuretic Peptide has been reported with respect to arrythmogenic activity.  On the one hand, the diagnostic value of the NT-proBNP has been seen as disappointing, in part because of the question of what information is gained by the test in overt known congestive heart failure, and in part because of uncertainty about following the test during a short hospital stay.  At least, this is the view of this reviewer.  However, in the last several years there has been an emphasis on the value this test adds to prediction of adverse outcomes.   In addition, there has been a hidden nvariable that has much to do with the original reference values that were established for age ranges, without any consideration of pathophysiology that might affect the values within those ranges, leading one to consider values in an aging population as normal, that might well be high.  Why is this?  Aging patients are more likely to have hypertension, and also the onset of type-2 diabetes mellitus, with cardiovascular disease consequences.  Type-2 diabetes mellitus (T2DM), for instance, is associated with insulin resistance and also fat gain with generation of adipokines, but the is also a hyalinization of insulin forming beta-cells of the pancreas, and there is hyalinization of glomeruli (glomerulosclerosis) and afferent arteriolonephrosclerosis with expected decline in glomerular filtrattion rate and hypertension as well.   Of course, this is also associated with hepatosteatosis.   Nevertheless, a reference range is established that takes none of this pathophysiology into account.   While a more reasonable approach has been pointed out, there has been no followup in the literature.

On the other hand, there has been much confusion over the restandardization of a high sensitivity troponin I or T test (hs-Tn(I or T).  The reference range declines precipitously, and there is a good identification of patients who are for the most part disease free, but there is no delineation of patients who are at high risk of acute coronary syndrome with plaque rupture, vs a  host of other cardiovascular conditions.  These have no relationship to plaque rupture, but may be serious and require further evaluation.  The question then becomes whether to admit for a hospital stay, to refer to clinic after an evaluation in the ICU without admission, or to do an extensive evaluation in the emergency department overnight before release for followup.  There is still another dimension of this that has to do with prediction of outcomes using hs-Tn(s) with or without the natriuretic peptides.  Another matter that is not for discussion in this article is the underutilization of hs-CRP.  Originally used for a marker of sepsis in the 1970s, it has come to be tied in with identification of an ongoing inflammatory condition.  Therefore, the existence of a known inflammatory condition in the family of autoimmune diseases, with one exception, might make it unnecessary.

The discussion is broken into three parts:

Part 1.   New findings on the troponins.
Part 2.  The use of combined hs-Tn with a natriuretic peptide (NT-proBNP)
Part 3.  Atrial natriuretic peptide

Part 1.    New findings on the troponins.

Troponin: more lessons to learn

C Liebetrau,HM Nef,andCW.Hamm*
KerckhoffHeartandThoraxCenter;DepartmentofCardiology,BadNauheim,
Germany; (GermanCentreforCardiovascularResearch),partnersite
RheinMain,BadNauheim, Germany; and UniversityofGiessen,Medizinische
KlinikI,KardiologieundAngiologie,Giessen,Germany
European Hear tJournal
http://dx.doi.org/10.1093/eurheartj/eht357This editorial refers to ‘Risk stratification in patients with acute chest pain
using three high-sensitivity cardiac troponin assays’,
by P. Haafetal. http://dx.doi.org/10.1093/eurheartj/eht218Cardiac troponin entered our diagnostic armamentarium 20 years ago and –
unlike any other biomarker –

  • is going through constant expansion in its application.

Troponin started out as a marker of risk in unstable angina’, then was used

  • as gold standard for risk stratification and therapy guiding in acute coronary syndrome
  •  served further to redefine myocardial infarction, and
  • has also become a risk factor in apparently healthy subjects.

The recently introduced high-sensitivity cardiac troponin (hs-cTn) assays

  • have not only expanded the potential of troponins, but
  • have also resulted in a certain amount of confusion
    • among unprepared users.

After many years troponins were accepted as the gold standard in

  • patients with chest pain by
  • classifying them into troponin-positive and
    • troponin-negative patients.

The new generation of hs-cTn assays has

  • improved the accuracy at the lower limit of detection and
  • provided incremental diagnostic information especially
    • in the early phase of myocardial infarction.

Moreover, low levels of measurable troponins

  • unrelated to ACS have been associated with
    • an adverse long-term outcome.

Several studies demonstrated that

  • these low levels of cardiac troponin measureable 
    • only by hs-Tn assays
  • are able to predict mortality in patients with ACS
  • as well as patients with assumed
    • stable coronary artery disease.

Furthermore, hs-cTn has the potential

  • to play a role in the care of patients
    • undergoing non-cardiac surgery.

The additional determination of hs-cTn

  • improves risk stratification despite
  • established risk scores providing both diagnosis and
  • for prognosis prediction in chest pain patients.

The daily clinical challenge in using the highly sensitive assays is to 

  • interpret the troponin concentrations, especially
  • in patients with concomitant diseases
    • independently from myocardial ischaemia
  • influencing cardiac troponin concentrations
    (e.g. chronic kidney disease, or stroke). 

The troponin test lost its ‘pregnancy test’ quality with the different users.
Different opinions exist on

  • the change of hs-cTn levels compared to simple ‘positive–negative’ interpretation
  • and thereby makes diagnosis finding more complex than before.

This uncertainty probably has the paradigm that

  • serial measurements of troponins are necessary, and also
    • boosted the number of diagnoses of ACS and
    • invasive diagnostic procedures in some locations.

This is more than understandable, with acute chest pain using

  • three high-sensitivity cardiac troponins with their respective baseline value
    • before the diagnosis of acute myocardial infarction (AMI) can be made.

What is a relevant change in concentrations compatible with acute myocardial necrosis and

  • what is only biological variation for the specific biomarker and assay?

Changes in serial measurements between 20% and 200% have been debated, and
the discussion is ongoing. Furthermore, it has been proposed that

  • absolute changes in cardiac troponin concentrations 
    • have a higher diagnostic accuracy for AMI
  • compared with relative changes, and

it might be helpful in distinguishing AMI from other causes of cardiac troponin elevation.

Do we obtain any helpful directives from experts and guidelines for our daily practice?
Foreseeing this dilemma, the 2011 European Society of Cardiology (ESC) Guidelines

  • on non ST-elevation ACS acted.
  • Minor elevations of  troponins were accepted as hs-cTn values in the ‘grey zone’.

This was and still is the rule, but

  • the ESC provided a general algorithm on how to manage patients with limited data.

The ‘Study Group on Biomarkers in Cardiology’ suggested

  • a rise of 50% from the baseline value at low concentrations.

However, this group of experts could also not find a substitute for the missing data

  • needed to validate the proposed recommendation.

The story is just too complex:

  • different troponin assays with
  • different epitope targets,
  • different patient populations,
  • different sampling protocols,
  • different follow-up lengths, and much more.

Therefore, any study that helps us to see better through the fog is welcome here.

Haaf et al. have now presented the results of their study of

  • different hs-cTn assays
    (hs-cTnT, Roche Diagnostics; hs-cTnI, Beckman-Coulter; and  hs-cTnI, Siemens)

    • with respect to the -outcome of patients with acute chest pain.

The authors examine 1117 consecutive patients presenting with acute chest pain.
[340 patients with ACS (30.5%)] from the Advantageous Predictors of Acute Coronary Syndrome
Evaluation (APACE) study. Blood was collected

  • directly on admission and
  • serially thereafter at 2, 3, and 6h.

Eighty-two patients (7.3%) died during the 2-year follow-up. The main finding of the study is that

  1. hs-cTnT predicts mortality more accurately than the hs-cTnI assays, 
  2. -that a single measurement is sufficient
  3. challenges causes of cardiac troponin elevation.

These results of APACE remain in contrast to recent findings from a GUSTO IV cohortof 1335 patients with ACS (Table1).

Table1 Studies investigating high sensitivity troponins for long-term prognosis

Variable                                                       APACE (n 5 1117)              GUSTO IV (n 5 1335)              PEACE (n 5 3567)

………………………………………………………………………………………………………………………………………………………….

Patient cohort                                                   Unstable                            Unstable                               Stable

Blood sampling                                     On admission,1,2,3,6h                    48h after
study randomization           Before randomization

No. of patients with detection limit             883 (79.1%)                                 UKN                                      UKN

No. of patients with hs-cTnT.
99thpercentile                                        401 (35.9%)                              1015 (76%)                          395 (10.9%)

No. of patients with hs-cTnI (Abbott).
detection limit                                           UKN                                             UKN                              3567 (98.5%)

No.of patients with hs-cTnI (Abbott).
99th percentile                                          UKN                                         988(74%)                           105 (2.9%)

No. of patients with NSTEMI                     170 (15.2%)                              100 (100%)                             0 (0%)

Follow-up                                               24 months                                  12 months                            5.2 years

Non-fatal AMI                                           UKN                                              UKN                               209 (5.9%)

Mortality or primary endpoint                    82 (7.3%)                                 119(8.9%)                           203 (5.7%)

………………………………………………………………………………………………………………………………………………………….

Key findings                                    cTnT better than cTnI                      cTnI ¼cTnT                   cTnI better than cTnT

Single cTn sample sufficient

AMI, acute mycordial infaction; cTn, cardiac tropononin; NSTEMI ,non-ST-elevation myocardial infarction; UKN, unknown

NSTEMI defined in the GUSTO IV trial:
  1. one or more episodes of angina lasting ≥ 5min,
  2. within 24h of admission and
  3. either a positive cardiac TnT or I test
    (above the upper limit of a normal for the local assay; during the years 1999 and 2000)
  4. or ≥ 0.5 mm of transient or persistent ST-segment depression.

the prognostic capacity of four different sensitive cardiac troponin assays were compared

  1. hs-cTnT; Roche Diagnostics,
  2. cTnI and hs-cTnI;
  3. Abbott Diagnostics, and
  4. Acc-cTnI; Beckman-Coulter.

In total, 119 patients (8.9%) died during the 1-year follow-up. Looking at their

  • receiver operating characteristic curve (ROC) analyses,
  • there were only negligible diffferences
    • in the area under the curves between the assays.

Contrasting results have also been reported in patients(n 1/4 3.623)

  • with stable coronary artery disease and preserved systolic left ventricular function

from the PEACE trial (Table1).

During a median follow-up period of 5.2 years,

  • there were 203 (5.6%) cardiovascular deaths or
  • first hospitalization for heart failure.

Concentrations of hs-cTnI (Abbott Diagnostics) at or above

  • the limit of detection of the assay were measured in 3567 patients (98.5%), but
  • concentrations of hs-cTnI at or above the gender-specific 99th percentile
    • were found in only 105 patients (2.9%).

This study revealed that

  • there was a strong and graded association
  • between increasing quartiles of hs-cTnI concentrations and
  • the risk for cardiovascular death or heart failure.

Hs-cTnI provided incremental prognostication information

  • over conventional risk markers and
  • other established cardiovascular biomarkers,
  • including hs-cTnT.

In contrast to the APACE results, only hs-cTnI, but

  • no ths-cTnT, was significantly
  • associated with the risk for AMI.

Is there a real difference between cardiac troponin T and cardiac troponin I

  • in predicting long term prognosis?

The question arises of whether there is a true clinically relevant

  • difference between cTnT and cTnI.

Given the biochemical and analytical differences,the two

  • troponins display rather similar serum profiles during AMI.

While minor biological differences between cTnT and cTnI are

  • apparently not relevant for diagnosis
  • and clinical management in the acute setting of ACS.

This is a provocative theory, but appears premature in our opinion.
Above all, the results of the current study appear

  • too inconsistent to allow such conclusions.

In the present study, hs-cTnT (Roche Diagnostics) outperformed

  • hs-cTnI (Siemens and Beckman-Coulter) in terms of
  • very long term prediction of cardiovascular death and
    • heart failure in stable patients.

We don’t know how hs-cTnI from Abbott Diagnostics

  • performs in the APACE consort.

The number of patients and endpoints provided

  • by the APACE registry are rather low.
  • The results could, therefore, be a chance finding.

It is far too early to favour one high sensitivity assay over the other. The findings need confirmation.

Implications for clinical practice

There is no doubt that high-sensitivity assays

  • are the analytical method of choice
    • in terms of risk stratification in patients with ACS.

What is new?
A single measurement of hs-cTn seems to be adequate

  • for long-term risk stratification in patients without AMI.

However, the question of which troponin might be preferable

  • for long-term risk stratification remains unanswered.

Part 2. ability of high-sensitivity cTnT and NT pro-BNP to predict cardiovascular events and death in patients with T2DM

Hillis GS; Welsh P; Chalmers J; Perkovic V; Chow CK; Li Q; Jun M; Neal B; Zoungas S; Poulter N; Mancia G; Williams B; Sattar N; Woodward M
Diabetes Care.  2014; 37(1):295-303 (ISSN: 1935-5548)

OBJECTIVE

Current methods of risk stratification in patients with

  • type 2 diabetes are suboptimal.

The current study assesses the ability of

  • N-terminal pro-B-type natriuretic peptide (NT-proBNP) and
  • high-sensitivity cardiac troponin T (hs-cTnT)

to improve the prediction of cardiovascular events and death in patients with type 2 diabetes.

RESEARCH DESIGN AND METHODS

A nested case-cohort study was performed in 3,862 patients who participated in the Action in Diabetes and Vascular Disease:

Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) trial.

RESULTS

Seven hundred nine (18%) patients experienced a

  • major cardiovascular event

(composite of cardiovascular death, nonfatal myocardial infarction, or nonfatal stroke) and

  • 706 (18%) died during a median of 5 years of follow-up.

In Cox regression models, adjusting for all established risk predictors,

  • the hazard ratio for cardiovascular events for NT-proBNP was 1.95 per 1 SD increase (95% CI 1.72, 2.20) and
  • the hazard ratio for hs-cTnT was 1.50 per 1 SD increase (95% CI 1.36, 1.65). The hazard ratios for death were
    • 1.97 (95% CI 1.73, 2.24) and
    • 1.52 (95% CI 1.37, 1.67), respectively.

The addition of either marker improved 5-year risk classification for cardiovascular events
(net reclassification index in continuous model,

  • 39% for NT-proBNP and 46% for hs-cTnT).

Likewise, both markers greatly improved the accuracy with which the 5-year risk of death was predicted.
The combination of both markers provided optimal risk discrimination.

CONCLUSIONS

NT-proBNP and hs-cTnT appear to greatly improve the accuracy with which the

  • risk of cardiovascular events or death can be estimated in patients with type 2 diabetes.

PreMedline Identifier: 24089534


Part 3. M-Atrial Natriuretic Peptide

M-Atrial Natriuretic Peptide and Nitroglycerin in a Canine Model of Experimental Acute Hypertensive Heart Failure:
Differential Actions of 2 cGMP Activating Therapeutics.

Paul M McKie, Alessandro Cataliotti, Tomoko Ichiki, S Jeson Sangaralingham, Horng H Chen, John C Burnett
Journal of the American Heart Association 01/2014; 3(1):e000206. http://dx.doi.org/10.1161/JAHA.113.000206
Source: PubMed

ABSTRACT

Systemic hypertension is a common characteristic in

  • acute heart failure (HF).

This increasingly recognized phenotype

  • is commonly associated with renal dysfunction and
  • there is an unmet need for renal enhancing therapies.

In a canine model of HF and acute vasoconstrictive hypertension

  • we characterized and compared the cardiorenal actions of M-atrial natriuretic peptide (M-ANP),
    a novel particulate guanylyl cyclase (pGC) activator, and
  • nitroglycerin, a soluble guanylyl cyclase (sGC) activator.

HF was induced by rapid RV pacing (180 beats per minute) for 10 days. On day 11, hypertension was induced by continuous angiotensin II
infusion. We characterized the cardiorenal and humoral actions

  • prior to,
  • during, and
  • following intravenous infusions of
  1. M-ANP (n=7),
  2. nitroglycerin (n=7),
  3. and vehicle (n=7) infusion.

Mean arterial pressure (MAP) was reduced by

  1. M-ANP (139±4 to 118±3 mm Hg, P<0.05) and
  2. nitroglycerin (137±3 to 116±4 mm Hg, P<0.05);

similar findings were recorded for

  1. pulmonary wedge pressure (PCWP) with M-ANP (12±2 to 6±2 mm Hg, P<0.05)
  2. and nitroglycerin (12±1 to 6±1 mm Hg, P<0.05).

M-ANP enhanced renal function with significant increases (P<0.05) in

  • glomerular filtration rate (38±4 to 53±5 mL/min),
  • renal blood flow (132±18 to 236±23 mL/min), and
  • natriuresis (11±4 to 689±37 mEq/min) and
  • also inhibited aldosterone activation (32±3 to 23±2 ng/dL, P<0.05), whereas

nitroglycerin had no significant (P>0.05) effects on these renal parameters or aldosterone activation.

Our results advance

the differential cardiorenal actions of

  • pGC (M-ANP) and sGC (nitroglycerin) mediated cGMP activation.

These distinct renal and aldosterone modulating actions make

M-ANP an attractive therapeutic for HF with concomitant hypertension, where

  • renal protection is a key therapeutic goal.

Read Full Post »

Circulating Endothelial Progenitors Cells (cEPCs) as Biomarkers

Article Curator: Larry H. Bernstein, MD, FCAP

and

Topic Curator: Aviva Lev-Ari, PhD, RN

Article ID #105: Circulating Endothelial Progenitors Cells (cEPCs) as Biomarkers. Published on 1/14/2014

WordCloud Image Produced by Adam Tubman

Circulating progenitor cells have gained much interest rapidly in the past year primarily in identification of damaged tissue that has turnover of cells that are identifiable in the circulation.  This has to require a sensitivity for identification at one or two logs lower than circulating hematopoietic cells.  I mention this untested view only because cells of the circulation are detected routinely by automated hematology instruments like those of Beckman-Coulter and Siemens, with graphical presentation of results.  The Sysmex also reports immature granulocytes that are a small percent of the neutrophil count.  In the evaluation of leukemias, flow cytometry has been used for years, but require a preparative step.  Cell types have been identified by acidic and basic dye stains to identify basophilic, acidophilic and neutrophilic granulocyte series, and by size of the cell population, and nuclear features, differentiating mature and nucleated red cells, the granulocyte series, monocytes and lymphocytes, as well as platelets (aggregation gives an underestimate of platelet count).  But to detect cancer cells or damaged endothelial cells, the number of cells in the circulation requires and antibody to the surface with a visualizable ligand attached to an antibody for identification.  Visualization could be by a fluorophor, or perhaps a luciferase reaction.  Here are two articles that identify circulating endothelial cells, making them suitable for biomarkers of cardiovascular injury.  Whether they can detect early predictive ischemia, or frank AMI needs investigation.  The concept of piecemeal necrosis in the heart may be applicable to cardiomyocyte injury that is found unexpectedly at autopsy as “silent infarct”.

Circulating endothelial progenitors–cells as biomarkers

Rosenzweig, Anthony
N Engl J Med. 2005 Sep 8;353(10):1055-7

Comment on

Circulating endothelial progenitor cells and cardiovascular outcomes

[N Engl J Med. 2005]  PMID: 16148292 [PubMed – indexed for MEDLINE]

Endothelial injury and dysfunction are thought to be critical events in the  pathogenesis of atherosclerosis. Thus,

  • understanding the mechanisms that  maintain and restore endothelial function
    • may have important clinical  implications.

A series of clinical and basic studies prompted by the discovery 

  • of bone marrow derived endothelial progenitor cells1 have
  • provided insights into these processes and
    • opened a door to the development of new therapeutic approaches.

Growing evidence suggests that bone marrow derived endothelial progenitor cells circulate in the blood and

  • play an important role in the formation of new blood vessels as well as
  • contribute to vascular homeostasis in the adult.

Circulating endothelial progenitor cells were initially identified

  • through their expression of CD34
    (a surface marker common to hematopoietic stem cells and mature endothelial cells)
  • and vascular endothelial cell growth-factor receptor 2
    (VEGFR2 or kinase-domain related [KDR] receptor),

but not of other markers seen on fully differentiated endothelial cells.1

Subsequent studies have also used other identifiers, such as

  • the stem-cell marker CD133, and
  • functional assays, including
    • the ability to form endothelial colonies.

Endothelial progenitor cells defined in these ways probably represent

  • a heterogeneous population, which,
  • in combination with the lack of a consensual definition,

complicates the interpretation of work in this field.

Nevertheless, numerous studies in animals have shown that endothelial  progenitor cells can integrate into new and existing blood vessels.2,3,4
Intravenous injection of cytokine-mobilized human endothelial progenitor cells

  • improved myocardial neoangiogenesis and
  • the recovery of functioning in a rat model of infarction.3

Repeated injection of bone marrow derived cells in a mouse model of atherosclerosis

  • reduced the rate of plaque formation without altering serum lipids levels, and
  • donor endothelial progenitor cells could subsequently be identified in the recipient’s blood vessels.4

Previous clinical studies have shown that

  • traditional risk factors for coronary atherosclerosis
  • are associated with low levels of circulating endothelial progenitor cells,5 whereas
  • protective interventions, including statin therapy6 and exercise,7
    • appear to increase the supply of these cells.

Hill et al. found that even in healthy volunteers,

  • levels of endothelial progenitor cells were inversely correlated with the Framingham risk score and
  • actually appeared to predict vascular function better than the Framingham risk score.5

Together, these data suggest that circulating endothelial progenitor cells may participate

  • not only in forming new blood vessels
  • but also in maintaining the integrity and function of vascular  endothelium,

thereby mitigating disease processes such as atherosclerosis.

In this issue of the Journal, Werner and colleagues have further advanced our understanding of the clinical implications of endothelial progenitor cells.8 Endothelial progenitor cells were quantitated in 519 patients with coronary artery disease who

  • were followed for one year after undergoing catheterization.

Patients with higher levels of endothelial progenitor cells had

  • a reduced risk of death from cardiovascular causes and of
  • the composite end point of major cardiovascular events.

These relationships were preserved even

  • after adjustment for traditional risk factors and prognostic variables.

A similar relationship was seen

  • whether endothelial progenitor cells were  identified by virtue of expression
    either of CD34 and KDR or of CD133 or
  • because of their ability to form endothelial colonies,

further strengthening the authors’ conclusions. Repeated catheterization was not performed in this  cohort, so

  • we do not know whether the reduction in clinical events reflected a slowed progression of atherosclerosis or some other clinical effect.

A  dissociation between anatomical measures of atherosclerosis and clinical events has been well documented in other settings.

Although this study is consistent with prior work suggesting that circulating endothelial progenitor cells may play a protective role in vascular homeostasis, other explanations

  • for the association between endothelial progenitor number and outcome remain possible.

Changes in the number of endothelial progenitor cells and

  • in clinical events might reflect a common underlying etiology,
      • rather than a causal relation.

For example, a defect in the production of nitric oxide, which plays an important role

  • in both the mobilization of endothelial progenitor cells9 and blood-vessel function, might account for both observations.

Similarly, the number of endothelial progenitor cells

  • may mirror a person’s regenerative capacity more broadly and
  • predict clinical events on that basis.

Even if endothelial progenitor cells are mechanistically linked to clinical cardiovascular events,

  • such clinical studies do not distinguish between the possibility
  • that the protection is mediated through the integration of endothelial  progenitor cells into blood vessels and

its possible mediation by other  mechanisms, such as the

  • paracrine benefits of endothelial progenitor  cell secreted products.

Although such questions will undoubtedly continue to provide fertile ground  for fundamental investigation,

  • the report by Werner and colleagues has more  immediate clinical implications.

First, it suggests that circulating cell  populations may represent a new class of biomarkers

  • that naturally integrate  diverse genetic and environmental effects,
  • thereby providing robust  physiological and prognostic insights.

Second, in the context of coronary  disease, the study shows that

  • the number of endothelial progenitor cells is an independent predictor of hard clinical outcomes.

As with other biomarkers, a demonstration of clinical usefulness will ultimately require

  • the examination of other patient populations, as well as
  • a demonstration that clinical therapy can be guided and enhanced by this information.

Finally, the increased risk associated with reduced levels of endothelial progenitor cells

  • supports the growing interest in the therapeutic potential of enhancing the level of these cells.

The most dramatic extension of this line of reasoning involves

transferring  bone marrow or peripheral blood cells that are likely to include endothelial  progenitor cells to patients with coronary artery disease. Although it would be premature to judge the clinical success of these strategies, early trials, including one randomized (though incompletely blinded) trial, have suggested

  • at least short-term functional benefits of intracoronary infusion of bone marrow cells after acute infarction.10

Trials are planned to address more definitively the potential benefits of such cells

  • in the settings of acute infarction and chronic ischemic cardiomyopathy.

Such efforts would be aided substantially by the identification of specific markers as well as

  • an improved understanding of the role of subtypes of endothelial progenitor cells and
  • of the mechanisms by which they work.

Ironically, the data presented by Werner and colleagues in combination with work showing

  • the impaired functioning of endothelial progenitor cells in high-risk patients5 suggest
  • that the patients most in need of endothelial progenitor cells may be
      • those who are least able to donate them for autologous transplantation.

Whether these limitations can be overcome through

  • ex vivo expansion or  genetic modification of endothelial progenitor cells is unclear.

In addition to possible cell-based therapies, work on endothelial progenitor cells provides yet another rationale

  • for redoubling efforts to comply with established therapeutic guidelines,
  • including lifestyle modifications and the use of statin therapy,
      • both of which appear to enhance the number of circulating endothelial progenitor cells.

Whether there will be a downside to enhancing the number and function of  endothelial progenitor cells remains unclear,

  • although obvious concerns  include exacerbating conditions that are characterized by adverse vessel  formation,
    • such as diabetic retinopathy and tumor angiogenesis.

Small studies have suggested an association between high levels of circulating endothelial progenitor cells and the risk of certain cancers, such as multiple myeloma.11 Moreover, studies in animals show that

  • bone marrow derived endothelial progenitors participate in tumor angiogenesis, thereby
      • enhancing tumor growth.12

In the study by Werner and colleagues,

  • the number of deaths from cardiovascular causes among patients with high levels of endothelial progenitor cells
  • was substantially lower than that among patients with lower levels of these cells,
  • without a reduction in the risk of death overall.8

Although this finding could raise the specter of a counterbalancing adverse effect of endothelial progenitor cells,

  • there was no apparent pattern in the deaths due to other causes,
  • and no deaths from cancer were noted in this population.

It is possible that as we learn more about the biology of endothelial progenitor cells, there may be opportunities

  • to target vessel formation more specifically.

In addition, therapeutic strategies

  • tailored to individualized risk will undoubtedly help in practice.

For example, in the study by Werner et al.,

  • patients in the group with the lowest baseline levels of endothelial progenitor cells
  • had a risk of death from cardiovascular causes of 8.3 percent during one year of follow-up,
  • suggesting that the benefits of enhancing the function and number of endothelial progenitor cells
      • may well outweigh the risks in such high-risk populations.

Additional studies will be necessary to address these questions definitively. Larger studies

  • of longer duration performed in different cohorts will be required to determine fully
    • the clinical usefulness of endothelial progenitor cells as a biomarker.

Rigorous interventional studies will indicate

  • whether levels of endothelial progenitor cells can be used to guide therapy and
  • whether cell transfer has a role in augmenting the levels of these cells.

Basic-science studies should help guide these clinical efforts by

  • further defining the desirable subpopulations of endothelial progenitor cells and
  • the mechanisms by which they mediate their effects.

By establishing a connection between circulating endothelial progenitor cells and hard clinical end points, Werner and colleagues

  • provide a potent stimulus for clinical and basic studies to address these important issues.

Source Information

From the Program in Cardiovascular Gene Therapy, Massachusetts General  Hospital, and Harvard Medical School ― both in Boston.

References

Asahara T, Murohara T, Sullivan A, et al. Isolation of putative progenitor  endothelial cells for angiogenesis. Science 1997;275:964-967.

Takahashi T, Kalka C, Masuda H, et al. Ischemia- and cytokine-induced  mobilization of bone marrow-derived endothelial progenitor cells for  neovascularization. Nat Med 1999;5:434-438.

Kocher AA, Schuster MD, Szabolcs MJ, et al. Neovascularization of ischemic myocardium by human bone-marrow-derived angioblasts prevents cardiomyocyte apoptosis, reduces remodeling and improves cardiac function. Nat Med 2001; 7: 430-436.

Rauscher FM, Goldschmidt-Clermont PJ, Davis BH, et al. Aging, progenitor cell exhaustion, and atherosclerosis. Circulation 2003; 108: 457-463.

Hill JM, Zalos G, Halcox JPJ, et al. Circulating endothelial progenitor cells, vascular function, and cardiovascular risk. N Engl J Med 2003;348:593-600.

Vasa M, Fichtlscherer S, Adler K, et al. Increase in circulating endothelial  progenitor cells by statin therapy in patients with stable coronary artery  disease. Circulation 2001; 103: 2885-2890.

Laufs U, Werner N, Link A, et al. Physical training increases endothelial  progenitor cells, inhibits neointima formation, and enhances angiogenesis.  Circulation 2004; 109: 220-226.

Werner N, Kosiol S, Schiegl T, et al. Circulating endothelial progenitor cells and cardiovascular outcomes. N Engl J Med 2005; 353: 999-1007.

Aicher A, Heeschen C, Mildner-Rihm C, et al. Essential role of endothelial nitric oxide synthase for mobilization of stem and progenitor cells. Nat Med  2003; 9: 1370-1376.

Wollert KC, Meyer GP, Lotz J, et al. Intracoronary autologous bone-marrow  cell transfer after myocardial infarction: the BOOST randomised controlled  clinical trial. Lancet 2004; 364: 141-148.

Zhang H, Vakil V, Braunstein M, et al. Circulating endothelial progenitor cells in multiple myeloma: implications and significance. Blood 2005; 105: 3286-3294.

Lyden D, Hattori K, Dias S, et al. Impaired recruitment of bone-marrow-derived endothelial and hematopoietic precursor cells blocks tumor angiogenesis and growth. Nat Med 2001;7:1194-1201.

Fluid phase biopsy for detection and characterization of circulating endothelial cells in myocardial infarction.

Kelly Bethel, Madelyn S Luttgen, Samir Damani, Anand Kolatkar, Rachelle Lamy, Mohsen Sabouri-Ghomi, Sarah Topol, Eric J Topol, Peter Kuhn

Physical Biology (Impact Factor: 2.62). 01/2014; 11(1):016002. http://dx.doi.org/10.1088/1478-3975/11/1/016002
Source: PubMed

Elevated levels of circulating endothelial cells (CECs) occur in response to various pathological conditions including myocardial infarction (MI). Here, we adapted

  • a fluid phase biopsy technology platform that successfully detects circulating tumor cells in the blood of cancer patients (HD-CTC assay),
  • to create a high-definition circulating endothelial cell (HD-CEC) assay for the detection and characterization of CECs.

Peripheral blood samples were collected from 79 MI patients, 25 healthy controls and six patients undergoing vascular surgery (VS). CECs were defined

  • by positive staining for DAPI, CD146 and von Willebrand Factor
  • and negative staining for CD45.

In addition, CECs exhibited distinct morphological features that

  • enable differentiation from surrounding white blood cells.
  1. CECs were found both as individual cells and as aggregates.
  2. CEC numbers were higher in MI patients compared with healthy controls.
  3. VS patients had lower CEC counts when compared with MI patients

but were not different from healthy controls.

Both HD-CEC and CellSearch® assays could discriminate

  • MI patients from healthy controls with comparable accuracy

but the HD-CEC assay exhibited

  • higher specificity while maintaining high sensitivity.

Our HD-CEC assay may be used as a robust diagnostic biomarker in MI patients.

MicroRNA function in endothelial cells

Solving the mystery of an unknown target gene using microRNA Target Site Blockers
Dr. Virginie Mattot
Dr. Virgine Mattot works in the team “Angiogenesis, endothelium activation and Cancer” directed by Dr. Fabrice Soncin at the Institut de Biologie de Lille in France where she studies the roles played by microRNAs in endothelial cells during physiological and pathological processes such as angiogenesis or endothelium activation. She has been using Target Site Blockers to investigate the role of microRNAs on putative targets which functions are yet unknown.
What is the main focus of the research conducted in your lab?
We are studying endothelial cell functions with a particular interest
  • in angiogenesis and endothelium activation during physiological and tumoral vascular development.
How did your research lead to the study of microRNAs?
A few years ago, we identified in my team
  • a new endothelial cell-specific gene which harbors a microRNA in its intronic sequence.

We have since been working on understanding

  • the functions of both this new gene and
  • its intronic microRNA in endothelial cells

What is the aim of your current project?

While we were searching for the functions of the intronic microRNA,
  • we identified an unknown gene as a putative target.
The aim of my project was to investigate if this unknown gene was actually a genuine target and
  • if regulation of this gene by the microRNA was involved in endothelial cell function.
We had already characterized the endothelial cell phenotype associated with the inhibition of our intronic microRNA.
We then used miRCURY LNA™ Target Site Blockers to demonstrate
  • that the expression of this unknown gene is actually controlled by this microRNA.
Further, we also demonstrated that the microRNA regulates
  • specific endothelial cell properties through regulation of this unknown gene.
How did you perform the experiments and analyze the results?
LNA™ enhanced target site blockers (TSB) for our microRNA were designed by Exiqon.
We transfected the TSBs into endothelial cells using our standard procedure and
  • analysed the induced phenotype.
As a control for these experiments, a mutated version of the TSB was designed by Exiqon and
  • transfected into endothelial cells.
We first verified that this TSB was functional by
  • analyzing the expression of the miRNA target
      • against which the TSB was directed in transfected cells.
Finally, we showed that the TSB induced similar phenotypes as those found when we inhibited the microRNA in the same cells. 
What were some specific challenges in your experiments and how did you overcome them?
The fact that the target gene for our microRNA was unknown was a major challenge. Without specific available tools, like antibodies,
  • it becomes difficult to demonstrate the effect of the microRNA on the gene in question and
  • to show that the unknown gene is indeed responsible for the functions of the microRNA.
However through the use of specific target site blockers, we were able to demonstrate
  • that this unknown gene was associated with the phenotype observed
    • when the microRNA was inhibited in endothelial cells.
How do you feel about your results so far?
We are very pleased with the results of the TSB experiments and
  • altogether these results demonstrate that our miRNA of interest
  • is functional in endothelial cells
    • through the regulation of a target gene with a previously unknown role.
What do you find to be the main benefits/advantage of the LNA™ microRNA target site blockers from Exiqon?

Target Site Blockers are efficient tools to demonstrate the

  • specific involvement of putative microRNA targets
  • in the function played by this microRNA.
The use of LNA™ allows the design of short oligonucleotides that are very specific and easy to work with. 
What would be your advice to colleagues about getting started with microRNA functional analysis?
In order to address the role played by a microRNA,
  • it is essential to perform both gain and loss of functions experiments.
What are the next steps in the current project and how do you plan to perform them?
We plan to use microRNA inhibitor libraries to identify
  • more microRNAs specifically involved in the processes that we currently study.
When and where will be hear /read more about your studies?
We are currently in the process of submitting a manuscript regarding the function of my microRNA of interest.

Read Full Post »

Introduction to Genomics and Epigenomics Roles in Cardiovascular Diseases

Introduction to Genomics and Epigenomics Roles in Cardiovascular Diseases

Author and Curator: Larry H Bernstein, MD, FCAP

This introduction is to a thorough evaluation of a rich source of research literature on the genomic influences, which may have variable strength in the biological causation of atherosclerosis, microvascular disease, plaque formation, not necessarily having expressing, except in a multivariable context that includes the environment, dietary factors, level of emotional stress, sleep habits, and the daily activities of living for affected individuals.  The potential of genomics is carried in the DNA, copied to RNA, and this is most well studied in the micro RNAs (miRNA).  The miRNA has been explored for the appearance in the circulation of specific miRNAs that might be associated with myocyte or endothelial cell injury, and they are also being used as targets for therapeutics by the creation of silencing RNAs (siRNA).  The extent to which there is evidence of success in these studies is limited, but is being translated from animal studies to human disease.  There is also a long history of the measurement of  circulating enzymes and isoenzymes (alanine amino transferase, creatine kinase, and lactate dehydrogenase, not to leave out the adenylate kinase species specific to myocardium), and more recently the release of troponins I and T, and the so far still not fully explored ischemia modified albumin, or of miRNAs for the diagnosis of myocardial infarction.

There is also a significant disagreement about the value of measuring high sensitivity C reactive protein (hs-CRP), which has always been a marker for systemic inflammatory disease, in both chronic rheumatic and infectious diseases having a broad range, so that procalcitonin has appeared to be better for that situation, and for early diagnosis of sepsis. The hs-CRP has been too easily ignored because of

1. the ubiquitous elevations in the population
2. the expressed concerns that one might not be inclined to treat a mild elevation without other risk factors, such as, LDL cholesterolemia, low HDL, absent diabetes or obesity.  Nevertheless, hs-CRP raises an reasonable argument for preventive measures, and perhaps the use of a statin.

There has been a substantial amount of work on the relationship of obesity to both type 2 diabetes mellitus (T2DM) and to coronary vascular disease and stroke.  Here we bring in the relationship of the vascular endothelium, adipose tissue secretion of adiponectin, and platelet activation.  A whole generation of antiplatelet drugs addresses the mechanism of platelet activation, adhession, and interaction with endothelium.   Very interesting work has appeared on RESISTIN, that could bear some fruit in the treatment of both obesity and T2DM.

It is important to keep in mind that epigenomic gene rearrangements or substitutions occur throughout life, and they may have an expression late in life.  Some of the known epigenetic events occur with some frequency, but the associations are extremely difficult to pin down, as well as the strength of the association.  In a population that is not diverse, epigenetic changes are passed on in the population in the period of childbearing age.  The establishment of an epigenetic change is diluted in a diverse population.  There have been a number of studies with different findings of association between cardiovascular disease and genetic mutations in the Han and also in the Uyger Chinese populations, which are distinctly different populations that is not part of this discussion.

This should be sufficient to elicit broad appeal in reading this volume on cardiovascular diseases, and perhaps the entire series.  Below is a diagram of this volume in the series.

PART 1 – Genomics and Medicine
Introduction to Genomics and Medicine (Vol 3)
Genomics and Medicine: The Physician’s View
Ribozymes and RNA Machines
Genomics and Medicine: Genomics to CVD Diagnoses
Establishing a Patient-Centric View of Genomic Data
VIDEO:  Implementing Biomarker Programs ­ P Ridker PART 2 – Epigenetics – Modifiable
Factors Causing CVD
Diseases Etiology
   Environmental Contributors
Implicated as Causing CVD
   Diet: Solids and Fluid Intake
and Nutraceuticals
   Physical Activity and
Prevention of CVD
   Psychological Stress and
Mental Health: Risk for CVD
   Correlation between
Cancer and CVD
PART 3  Determinants of CVD – Genetics, Heredity and Genomics Discoveries
Introduction
    Why cancer cells contain abnormal numbers of chromosomes (Aneuploidy)
     Functional Characterization of CV Genomics: Disease Case Studies @ 2013 ASHG
     Leading DIAGNOSES of CVD covered in Circulation: CV Genetics, 3/2010 – 3/2013
     Commentary on Biomarkers for Genetics and Genomics of CVD
PART 4 Individualized Medicine Guided by Genetics and Genomics Discoveries
    Preventive Medicine: Cardiovascular Diseases
    Walking and Running: Similar Risk Reductions for Hypertension, Hypercholesterolemia,
DM, and possibly CAD
http://pharmaceuticalintelligence.com/2013/04/04/walking-and-running-similar-risk-reductions-for-hypertension-hypercholesterolemia-dm-and-possibly-cad/
    Prevention of Type 2 Diabetes: Is Bariatric Surgery the Solution?
http://pharmaceuticalintelligence.com/2012/08/23/prevention-of-type-2-diabetes-is-bariatric-surgery-the-solution/
Gene-Therapy for CVD
Congenital Heart Disease/Defects
   Medical Etiologies: EBM – LEADING DIAGNOSES, Risks Pharmacogenomics for Cardio-
vascular Diseases
   Signaling Pathways     Response to Rosuvastatin in
Patients With Acute Myocardial Infarction:
Hepatic Metabolism and Transporter Gene
Variants Effect
http://pharmaceuticalintelligence.com/2014/
01/02/response-to-rosuvastatin-in-patients-
with-acute-myocardial-infarction-hepatic-
metabolism-and-transporter-gene-variants-effect/
   Proteomics and Metabolomics      Voltage-Gated Calcium Channel and Pharmaco-
genetic Association with Adverse Cardiovascular
Outcomes: Hypertension Treatment with Verapamil
SR (CCB) vs Atenolol (BB) or Trandolapril (ACE)
http://pharmaceuticalintelligence.com/2014/01/02/
voltage-gated-calcium-channel-and-pharmacogenetic-
association-with-adverse-cardiovascular-outcomes-
hypertension-treatment-with-verapamil-sr-ccb-vs-
atenolol-bb-or-trandolapril-ace/
      SNPs in apoE are found to influence statin response
significantly. Less frequent variants in
PCSK9 and smaller effect sizes in SNPs in HMGCR
http://pharmaceuticalintelligence.com/2014/01/02/snps-in-apoe-are-found-to-influence-statin-response-significantly-less-frequent-variants-in-pcsk9-and-smaller-effect-sizes-in-snps-in-hmgcr/

Read Full Post »

« Newer Posts - Older Posts »