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Get Free AccessThe genomics of primary prostate cancer differ from those of metastatic castration-resistant prostate cancer (mCRPC). We studied genomic aberrations in primary prostate cancer biopsies from patients who developed mCRPC, also studying matching, same-patient, diagnostic, and mCRPC biopsies following treatment. We profiled 470 treatment-naive prostate cancer diagnostic biopsies and, for 61 cases, mCRPC biopsies, using targeted and low-pass whole-genome sequencing (n = 52). Descriptive statistics were used to summarize mutation and copy number profile. Prevalence was compared using Fisher's exact test. Survival correlations were studied using log-rank test. TP53 (27%) and PTEN (12%) and DDR gene defects (BRCA2 7%; CDK12 5%; ATM 4%) were commonly detected. TP53, BRCA2, and CDK12 mutations were markedly more common than described in the TCGA cohort. Patients with RB1 loss in the primary tumor had a worse prognosis. Among 61 men with matched hormone-naive and mCRPC biopsies, differences were identified in AR, TP53, RB1, and PI3K/AKT mutational status between same-patient samples. In conclusion, the genomics of diagnostic prostatic biopsies acquired from men who develop mCRPC differ from those of the nonlethal primary prostatic cancers. RB1/TP53/AR aberrations are enriched in later stages, but the prevalence of DDR defects in diagnostic samples is similar to mCRPC.
Joaquı́n Mateo, George Seed, Cláudia Bertan, Pasquale Rescigno, David Dolling, Ines Figueiredo, Susana Miranda, Daniel Nava Rodrigues, Bora Gürel, Matthew Clarke, Mark Atkin, Rob Chandler, Carlo Messina, Semini Sumanasuriya, Diletta Bianchini, Maialen Barrero, Antonella Petermolo, Zafeiris Zafeiriou, Mariane Fontes, Raquel Pérez-López, Nina Tunariu, Ben Fulton, Robert J. Jones, Ursula McGovern, Christy Ralph, Mohini Varughese, Omi Parikh, Suneil Jain, Tony Elliott, Shahneen Sandhu, Núria Porta, Emma Hall, Wei Yuan, Suzanne Carreira, Johann S. de Bono (2019). Genomics of lethal prostate cancer at diagnosis and castration resistance. , 130(4), DOI: https://doi.org/10.1172/jci132031.
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Type
Article
Year
2019
Authors
35
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1172/jci132031
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