The long tail of oncogenic drivers in prostate cancer.

Nat Genet
Authors
Keywords
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.

Year of Publication
2018
Journal
Nat Genet
Volume
50
Issue
5
Pages
645-651
Date Published
2018 05
ISSN
1546-1718
DOI
10.1038/s41588-018-0078-z
PubMed ID
29610475
PubMed Central ID
PMC6107367
Links
Grant list
P50 CA090381 / CA / NCI NIH HHS / United States
R01 CA193837 / CA / NCI NIH HHS / United States
P50 CA097186 / CA / NCI NIH HHS / United States
K08 CA188615 / CA / NCI NIH HHS / United States
P50 CA092629 / CA / NCI NIH HHS / United States
P30 CA008748 / CA / NCI NIH HHS / United States
R01 CA155169 / CA / NCI NIH HHS / United States
U54 CA224079 / CA / NCI NIH HHS / United States