The somatic genomic landscape of glioblastoma.
The somatic genomic landscape of glioblastoma.
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DOI:
10.1016/j.cell.2013.09.034
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发表时间:
2013-10-10
期刊:
影响因子:
64.5
通讯作者:
TCGA Research Network
中科院分区:
文献类型:
--
作者:
Brennan CW;Verhaak RG;McKenna A;Campos B;Noushmehr H;Salama SR;Zheng S;Chakravarty D;Sanborn JZ;Berman SH;Beroukhim R;Bernard B;Wu CJ;Genovese G;Shmulevich I;Barnholtz-Sloan J;Zou L;Vegesna R;Shukla SA;Ciriello G;Yung WK;Zhang W;Sougnez C;Mikkelsen T;Aldape K;Bigner DD;Van Meir EG;Prados M;Sloan A;Black KL;Eschbacher J;Finocchiaro G;Friedman W;Andrews DW;Guha A;Iacocca M;O'Neill BP;Foltz G;Myers J;Weisenberger DJ;Penny R;Kucherlapati R;Perou CM;Hayes DN;Gibbs R;Marra M;Mills GB;Lander E;Spellman P;Wilson R;Sander C;Weinstein J;Meyerson M;Gabriel S;Laird PW;Haussler D;Getz G;Chin L;TCGA Research Network
We describe the landscape of somatic genomic alterations based on multi-dimensional 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.
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影响因子:
10.5
作者:
Inda, Maria-del-Mar;Bonavia, Rudy;Furnari, Frank
通讯作者:
Furnari, Frank
影响因子:
3.7
作者:
Brennan C;Momota H;Hambardzumyan D;Ozawa T;Tandon A;Pedraza A;Holland E
通讯作者:
Holland E
影响因子:
64.8
作者:
通讯作者:
--
影响因子:
11.2
作者:
Cho, Jeonghee;Pastorino, Sandra;Meyerson, Matthew
通讯作者:
Meyerson, Matthew
影响因子:
15.9
作者:
Dolecek, Therese A.;Propp, Jennifer M.;Kruchko, Carol
通讯作者:
Kruchko, Carol