The Germline and Somatic Origins of Prostate Cancer Heterogeneity.

IF 29.7 1区 医学 Q1 ONCOLOGY
Takafumi N Yamaguchi, Kathleen E Houlahan, Helen Zhu, Natalie 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, Susmita G Ramanand, Michael J Clarkson, Anne Nguyen, Shadrielle Melijah G Espiritu, Ryan Stuchbery, Richard Jovelin, Vincent Huang, Connor Bell, Edward O'Connor, Patrick J McCoy, Christopher M Lalansingh, Marek Cmero, Adriana Salcedo, Eva K F Chan, Lydia Y Liu, Phillip D Stricker, Vinayak Bhandari, Riana M S Bornman, Dorota Hs Sendorek, Andrew Lonie, Stephenie D Prokopec, Michael Fraser, Justin S Peters, Adrien Foucal, Shingai B A Mutambirwa, Lachlan Mcintosh, Michèle Orain, Matthew Wakefield, Valérie Picard, Daniel J Park, Hélène Hovington, Michael Kerger, Alain Bergeron, Veronica Sabelnykova, Ji-Heui Seo, Mark M Pomerantz, Noah Zaitlen, Sebastian M Waszak, Alexander Gusev, Louis Lacombe, Yves Fradet, Andrew Ryan, Amar U Kishan, Martijn P Lolkema, Joachim Weischenfeldt, Bernard Têtu, Anthony J Costello, Vanessa M Hayes, Rayjean J Hung, Housheng H He, John D McPherson, Bogdan Pasaniuc, Theodorus van der Kwast, Anthony T Papenfuss, Matthew L Freedman, Bernard J Pope, Robert G Bristow, Ram S Mani, Niall M Corcoran, Jüri Reimand, Christopher M Hovens, Paul C Boutros
{"title":"The Germline and Somatic Origins of Prostate Cancer Heterogeneity.","authors":"Takafumi N Yamaguchi, Kathleen E Houlahan, Helen Zhu, Natalie 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, Susmita G Ramanand, Michael J Clarkson, Anne Nguyen, Shadrielle Melijah G Espiritu, Ryan Stuchbery, Richard Jovelin, Vincent Huang, Connor Bell, Edward O'Connor, Patrick J McCoy, Christopher M Lalansingh, Marek Cmero, Adriana Salcedo, Eva K F Chan, Lydia Y Liu, Phillip D Stricker, Vinayak Bhandari, Riana M S Bornman, Dorota Hs Sendorek, Andrew Lonie, Stephenie D Prokopec, Michael Fraser, Justin S Peters, Adrien Foucal, Shingai B A Mutambirwa, Lachlan Mcintosh, Michèle Orain, Matthew Wakefield, Valérie Picard, Daniel J Park, Hélène Hovington, Michael Kerger, Alain Bergeron, Veronica Sabelnykova, Ji-Heui Seo, Mark M Pomerantz, Noah Zaitlen, Sebastian M Waszak, Alexander Gusev, Louis Lacombe, Yves Fradet, Andrew Ryan, Amar U Kishan, Martijn P Lolkema, Joachim Weischenfeldt, Bernard Têtu, Anthony J Costello, Vanessa M Hayes, Rayjean J Hung, Housheng H He, John D McPherson, Bogdan Pasaniuc, Theodorus van der Kwast, Anthony T Papenfuss, Matthew L Freedman, Bernard J Pope, Robert G Bristow, Ram S Mani, Niall M Corcoran, Jüri Reimand, Christopher M Hovens, Paul C Boutros","doi":"10.1158/2159-8290.CD-23-0882","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":9430,"journal":{"name":"Cancer discovery","volume":" ","pages":""},"PeriodicalIF":29.7000,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer discovery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/2159-8290.CD-23-0882","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0

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.

求助全文
约1分钟内获得全文 求助全文
来源期刊
Cancer discovery
Cancer discovery ONCOLOGY-
CiteScore
22.90
自引率
1.40%
发文量
838
审稿时长
6-12 weeks
期刊介绍: Cancer Discovery publishes high-impact, peer-reviewed articles detailing significant advances in both research and clinical trials. Serving as a premier cancer information resource, the journal also features Review Articles, Perspectives, Commentaries, News stories, and Research Watch summaries to keep readers abreast of the latest findings in the field. Covering a wide range of topics, from laboratory research to clinical trials and epidemiologic studies, Cancer Discovery spans the entire spectrum of cancer research and medicine.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信