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The long tail of oncogenic drivers in prostate cancer.


ABSTRACT: Comprehensive genomic characterization of prostate cancer has identified recurrent alterations in genes involved in androgen signaling, DNA repair, and PI3K signaling, among others. However, larger and uniform genomic analysis may identify additional recurrently mutated genes at lower frequencies. Here we aggregate and uniformly analyze exome sequencing data from 1,013 prostate cancers. We identify and validate a new class of E26 transformation-specific (ETS)-fusion-negative tumors defined by mutations in epigenetic regulators, as well as alterations in pathways not previously implicated in prostate cancer, such as the spliceosome pathway. We find that the incidence of significantly mutated genes (SMGs) follows a long-tail distribution, with many genes mutated in less than 3% of cases. We identify a total of 97 SMGs, including 70 not previously implicated in prostate cancer, such as the ubiquitin ligase CUL3 and the transcription factor SPEN. Finally, comparing primary and metastatic prostate cancer identifies a set of genomic markers that may inform risk stratification.

SUBMITTER: Armenia J 

PROVIDER: S-EPMC6107367 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

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The long tail of oncogenic drivers in prostate cancer.

Armenia Joshua J   Wankowicz Stephanie A M SAM   Liu David D   Gao Jianjiong J   Kundra Ritika R   Reznik Ed E   Chatila Walid K WK   Chakravarty Debyani D   Han G Celine GC   Coleman Ilsa I   Montgomery Bruce B   Pritchard Colin C   Morrissey Colm C   Barbieri Christopher E CE   Beltran Himisha H   Sboner Andrea A   Zafeiriou Zafeiris Z   Miranda Susana S   Bielski Craig M CM   Penson Alexander V AV   Tolonen Charlotte C   Huang Franklin W FW   Robinson Dan D   Wu Yi Mi YM   Lonigro Robert R   Garraway Levi A LA   Demichelis Francesca F   Kantoff Philip W PW   Taplin Mary-Ellen ME   Abida Wassim W   Taylor Barry S BS   Scher Howard I HI   Nelson Peter S PS   de Bono Johann S JS   Rubin Mark A MA   Sawyers Charles L CL   Chinnaiyan Arul M AM   Schultz Nikolaus N   Van Allen Eliezer M EM  

Nature genetics 20180402 5


Comprehensive genomic characterization of prostate cancer has identified recurrent alterations in genes involved in androgen signaling, DNA repair, and PI3K signaling, among others. However, larger and uniform genomic analysis may identify additional recurrently mutated genes at lower frequencies. Here we aggregate and uniformly analyze exome sequencing data from 1,013 prostate cancers. We identify and validate a new class of E26 transformation-specific (ETS)-fusion-negative tumors defined by mu  ...[more]

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