Bio – computational expertise

Bio – computational expertise 2016-10-24T15:19:24+00:00

GenomicScape

Thanks to the work of Jerome Moreaux research team and in collaboration with the Institute for computational biomedicine (group of Olivier Elemento) (http://icb.med.cornell.edu), Weill Cornell Institute, New York, the Research team has integrated GEP analysis platform and computational strategies to develop integrative, iterative and model-based strategy development for MM personalized medicine using Next Generation Sequencing data and called :

GenomicScape:

http://www.genomicscape.com

GenomicScape : Context

GenomicScape: What’s for?

GenomicScape: The tools

GenomicScape : conclusion

GenomicScape : Publications

  • Moreaux J, Reme T, Leonard W, et al. Development of gene expression-based score to predict sensitivity of multiple myeloma cells to DNA methylation inhibitors. Mol Cancer Ther. 2012;11(12):2685-2692.
  • Moreaux J, Reme T, Leonard W, et al. Gene expression-based prediction of myeloma cell sensitivity to histone deacetylase inhibitors. Br J Cancer. 2013;109(3):676-685.
  • Moreaux J, Bruyer A, Veyrune JL, Goldschmidt H, Hose D, Klein B. DNA methylation score is predictive of myeloma cell sensitivity to 5-azacitidine. Br J Haematol. 2014;164(4):613-616.
  • Mahtouk K, Cremer FW, Reme T, et al. Heparan sulphate proteoglycans are essential for the myeloma cell growth activity of EGF-family ligands in multiple myeloma. Oncogene. 2006;25(54):7180-7191.
  • Mahtouk K, Hose D, Raynaud P, et al. Heparanase influences expression and shedding of syndecan-1, and its expression by the bone marrow environment is a bad prognostic factor in multiple myeloma. Blood. 2007.
  • Mahtouk K, Hose D, Reme T, et al. Expression of EGF-family receptors and amphiregulin in multiple myeloma. Amphiregulin is a growth factor for myeloma cells. Oncogene. 2005;24(21):3512-3524.
  • Mahtouk K, Jourdan M, De Vos J, et al. An inhibitor of the EGF receptor family blocks myeloma cell growth factor activity of HB-EGF and potentiates dexamethasone or anti-IL-6 antibody-induced apoptosis. Blood. 2004;103(5):1829-1837.
  • Mahtouk K, Moreaux J, Hose D, et al. Growth factors in multiple myeloma: a comprehensive analysis of their expression in tumor cells and bone marrow environment using Affymetrix microarrays. BMC cancer. 2010;10:198.
  • Moreaux J, Cremer FW, Reme T, et al. The level of TACI gene expression in myeloma cells is associated with a signature of microenvironment dependence versus a plasmablastic signature. Blood. 2005;106(3):1021-1030.
  • Moreaux J, Legouffe E, Jourdan E, et al. BAFF and APRIL protect myeloma cells from apoptosis induced by interleukin 6 deprivation and dexamethasone. Blood. 2004;103(8):3148-3157.
  • Moreaux J, Sprynski A-C, Mahtouk K, et al. Binding of TACI and APRIL to Syndecan-1 Confer on Them a Major Role in Multiple Myeloma. ASH Annual Meeting Abstracts. 2007;110(11):3522-.
  • Moreaux J, Sprynski AC, Dillon SR, et al. APRIL and TACI interact with syndecan-1 on the surface of multiple myeloma cells to form an essential survival loop. Eur J Haematol. 2009;83(2):119-129.
  • Sprynski AC, Hose D, Caillot L, et al. The role of IGF-1 as a major growth factor for myeloma cell lines and the prognostic relevance of the expression of its receptor. Blood. 2009;113(19):4614-4626.
  • Sprynski AC, Hose D, Kassambara A, et al. Insulin is a potent myeloma cell growth factor through insulin/IGF-1 hybrid receptor activation. Leukemia. 2010;24(11):1940-1950.