Patterns of structural variation define prostate cancer across disease states
Zhou, Meng ; Ko, Minjeong ; Hoge, Anna Ch ; Luu, Kelsey ; Liu, Yuzhen ; Russell, Magdalena L ; Hannon, William W ; Zhang, Zhenwei ; Carrot-Zhang, Jian ; Beroukhim, Rameen ... show 8 more
Citations
Authors
Student Authors
Faculty Advisor
Academic Program
UMass Chan Affiliations
Document Type
Publication Date
Subject Area
Embargo Expiration Date
Link to Full Text
Abstract
The complex genomic landscape of prostate cancer evolves across disease states under therapeutic pressure directed toward inhibiting androgen receptor (AR) signaling. While significantly altered genes in prostate cancer have been extensively defined, there have been fewer systematic analyses of how structural variation shapes the genomic landscape of this disease across disease states. We uniformly characterized structural alterations across 531 localized and 143 metastatic prostate cancers profiled by whole genome sequencing, 125 metastatic samples of which were also profiled via whole transcriptome sequencing. We observed distinct significantly recurrent breakpoints in localized and metastatic castration-resistant prostate cancers (mCRPC), with pervasive alterations in noncoding regions flanking the AR, MYC, FOXA1, and LSAMP genes enriched in mCRPC and TMPRSS2-ERG rearrangements enriched in localized prostate cancer. We defined 9 subclasses of mCRPC based on signatures of structural variation, each associated with distinct genetic features and clinical outcomes. Our results comprehensively define patterns of structural variation in prostate cancer and identify clinically actionable subgroups based on whole genome profiling.
Source
Zhou M, Ko M, Hoge AC, Luu K, Liu Y, Russell ML, Hannon WW, Zhang Z, Carrot-Zhang J, Beroukhim R, Van Allen EM, Choudhury AD, Nelson PS, Freedman ML, Taplin ME, Meyerson M, Viswanathan SR, Ha G. Patterns of structural variation define prostate cancer across disease states. JCI Insight. 2022 Sep 8;7(17):e161370. doi: 10.1172/jci.insight.161370. PMID: 35943799; PMCID: PMC9536266.