| Literature DB >> 32238934 |
Jing Li1,2,3, Chuanliang Xu1,3, Hyung Joo Lee4,5, Shancheng Ren1,3, Xiaoyuan Zi1, Zhiming Zhang6, Haifeng Wang1, Yongwei Yu7, Chenghua Yang1,8, Xiaofeng Gao1, Jianguo Hou1, Linhui Wang9, Bo Yang1, Qing Yang1, Huamao Ye1, Tie Zhou1, Xin Lu1, Yan Wang1, Min Qu1, Qingsong Yang10, Wenhui Zhang1, Nakul M Shah4,5, Erica C Pehrsson4,5, Shuo Wang11, Zengjun Wang12, Jun Jiang13, Yan Zhu7, Rui Chen1, Huan Chen1, Feng Zhu1, Bijun Lian1, Xiaoyun Li6, Yun Zhang1, Chao Wang1, Yue Wang3,14, Guangan Xiao1, Junfeng Jiang3,14, Yue Yang1, Chaozhao Liang15, Jianquan Hou16, Conghui Han17, Ming Chen18, Ning Jiang19, Dahong Zhang20, Song Wu21, Jinjian Yang22, Tao Wang22, Yongliang Chen23, Jiantong Cai24, Wenzeng Yang25, Jun Xu26, Shaogang Wang27, Xu Gao28,29, Ting Wang30,31, Yinghao Sun32,33.
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.Entities:
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Year: 2020 PMID: 32238934 DOI: 10.1038/s41586-020-2135-x
Source DB: PubMed Journal: Nature ISSN: 0028-0836 Impact factor: 49.962