The Somatic Genomic Landscape of Glioblastoma

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Title
The Somatic Genomic Landscape of Glioblastoma
Author
Brennan, Cameron W.Verhaak, Roel G. W.McKenna, AaronCampos, BenitoNoushmehr, HoutanSalama, Sofie R.Zheng, SiyuanChakravarty, DebyaniSanborn, J. ZacharyBerman, Samuel H.Beroukhim, RameenBernard, BradyWu, Chang-JiunGenovese, GiannicolaShmulevich, IlyaBarnholtz-Sloan, JillZou, LihuaVegesna, RahulsimhamShukla, Sachet A.Ciriello, GiovanniYung, W. K.Zhang, WeiSougnez, CarrieMikkelsen, TomAldape, KennethBigner, Darell D.Van Meir, Erwin G.Prados, MichaelSloan, AndrewBlack, Keith L.Eschbacher, JenniferFinocchiaro, GaetanoFriedman, WilliamAndrews, David W.Guha, AbhijitIacocca, MaryO'Neill, Brian P.Foltz, GregMyers, JeromeWeisenberger, Daniel J.Penny, RobertKucherlapati, RajuPerou, Charles M.Hayes, D. NeilGibbs, RichardMarra, MarcoMills, Gordon B.Lander, EricSpellman, PaulWilson, RichardSander, ChrisWeinstein, JohnMeyerson, MatthewGabriel, StaceyLaird, Peter W.Haussler, DavidGetz, GadChin, LyndaLee, Semin
Keywords
COPY-NUMBER ALTERATION;  DRIVER MUTATIONS;  HUMAN CANCERS;  GRADE GLIOMA;  TUMORS;  EGFR;  EXPRESSION;  MELANOMA;  PATHWAYS;  SURVIVAL
Issue Date
2013-10
Publisher
CELL PRESS
Citation
CELL, v.155, no.2, pp.462 - 477
Abstract
We describe the landscape of somatic genomic alterations based on multidimensional and comprehensive characterization of more than 500 glioblastoma tumors (GBMs). We identify several novel mutated genes as well as complex rearrangements of signature receptors, including EGFR and PDGFRA. TERT promoter mutations are shown to correlate with elevated mRNA expression, supporting a role in telomerase reactivation. Correlative analyses confirm that the survival advantage of the proneural subtype is conferred by the G-CIMP phenotype, and MGMT DNA methylation may be a predictive biomarker for treatment response only in classical subtype GBM. Integrative analysis of genomic and proteomic profiles challenges the notion of therapeutic inhibition of a pathway as an alternative to inhibition of the target itself. These data will facilitate the discovery of therapeutic and diagnostic target candidates, the validation of research and clinical observations and the generation of unanticipated hypotheses that can advance our molecular understanding of this lethal cancer
URI
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DOI
10.1016/j.cell.2013.09.034
ISSN
0092-8674
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