Takafumi N. Yamaguchi,Kathleen E. Houlahan,Helen Zhu,Natalie J. Kurganovs,Julie Livingstone,Natalie S. Fox,Jiapei Yuan,Jocelyn Sietsma Penington,Chol-Hee Jung,Tommer Schwarz,Weerachai Jaratlerdsiri,Job van Riet,Peter Georgeson,Stefano Mangiola,Kodi Taraszka,Robert Lesurf,Jue Jiang,Ken Chow,Lawrence E. Heisler,Yu-Jia Shiah
出处
期刊:Cancer Discovery [American Association for Cancer Research] 日期:2025-02-13
Abstract Newly diagnosed prostate cancers differ dramatically in mutational composition and lethality. The most accurate clinical predictor of lethality is tumor tissue architecture, quantified as tumor grade. To interrogate the evolutionary origins of prostate cancer heterogeneity, we analyzed 666 prostate tumor whole genomes. We identified a compendium of 223 recurrently mutated driver regions, most influencing downstream mutational processes and gene expression. We identified and validated individual germline variants that predispose tumors to acquire specific somatic driver mutations: these explain heterogeneity in disease presentation and ancestry differences. High-grade tumors have a superset of the drivers in lower-grade tumors, including increased frequency of BRCA2 and MYC mutations. Grade-associated driver mutations occur early in tumor evolution, and their earlier occurrence strongly predicts cancer relapse and metastasis. Our data suggest high- and low-grade prostate tumors both emerge from a common pre-malignant field, influenced by germline genomic context and stochastic mutation-timing.