A genomic and epigenomic atlas of prostate cancer in Asian populations

Jing Li, Chuanliang Xu, Hyung Joo Lee, Shancheng Ren, Xiaoyuan Zi, Zhiming Zhang, Haifeng Wang, Yongwei Yu, Chenghua Yang, Xiaofeng Gao, Jianguo Hou, Linhui Wang, Bo Yang, Qing Yang, Huamao Ye, Tie Zhou, Xin Lu, Yan Wang, Min Qu, Qingsong YangWenhui Zhang, Nakul M. Shah, Erica C. Pehrsson, Shuo Wang, Zengjun Wang, Jun Jiang, Yan Zhu, Rui Chen, Huan Chen, Feng Zhu, Bijun Lian, Xiaoyun Li, Yun Zhang, Chao Wang, Yue Wang, Guangan Xiao, Junfeng Jiang, Yue Yang, Chaozhao Liang, Jianquan Hou, Conghui Han, Ming Chen, Ning Jiang, Dahong Zhang, Song Wu, Jinjian Yang, Tao Wang, Yongliang Chen, Jiantong Cai, Wenzeng Yang, Jun Xu, Shaogang Wang, Xu Gao, Ting Wang, Yinghao Sun

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Prostate cancer is the second most common cancer in men worldwide1. Over the past decade, large-scale integrative genomics efforts have enhanced our understanding of this disease by characterizing its genetic and epigenetic landscape in thousands of patients2,3. However, most tumours profiled in these studies were obtained from patients from Western populations. Here we produced and analysed whole-genome, whole-transcriptome and DNA methylation data for 208 pairs of tumour tissue samples and matched healthy control tissue from Chinese patients with primary prostate cancer. Systematic comparison with published data from 2,554 prostate tumours revealed that the genomic alteration signatures in Chinese patients were markedly distinct from those of Western cohorts: specifically, 41% of tumours contained mutations in FOXA1 and 18% each had deletions in ZNF292 and CHD1. Alterations of the genome and epigenome were correlated and were predictive of disease phenotype and progression. Coding and noncoding mutations, as well as epimutations, converged on pathways that are important for prostate cancer, providing insights into this devastating disease. These discoveries underscore the importance of including population context in constructing comprehensive genomic maps for disease.

Original languageEnglish
Pages (from-to)93-99
Number of pages7
JournalNature
Volume580
Issue number7801
DOIs
StatePublished - Apr 2 2020

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