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Zhang B, Jia P, Wang J, Pei G, Wang C, Pei S, Li X, Zhao Z, Yi X, Guan XY, Huang Y. Integrated analysis of racial disparities in genomic architecture identifies a trans-ancestry prognostic subtype in bladder cancer. Mol Oncol 2022; 17:564-581. [PMID: 36495164 PMCID: PMC10061287 DOI: 10.1002/1878-0261.13360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 11/08/2022] [Accepted: 12/09/2022] [Indexed: 12/14/2022] Open
Abstract
The incidence of bladder cancer and patient survival vary greatly among different populations, but the influence of the associated molecular features and evolutionary processes on its clinical treatment and prognostication remains unknown. Here, we analyze the genomic architectures of 505 bladder cancer patients from Asian/Black/White populations. We identify a previously unknown association between AHNAK mutations and activity of the APOBEC-a mutational signature, the activity of which varied substantially across populations. All significantly mutated genes but only half of arm-level somatic copy number alterations (SCNAs) are enriched with clonal events, indicating large-scale SCNAs as rich sources of bladder cancer clonal diversities. The prevalence of TP53 and ATM clonal mutations as well as the associated burden of SCNAs is significantly higher in Whites/Blacks than in Asians. We identify a trans-ancestry prognostic subtype of bladder cancer characterized by enrichment of non-muscle-invasive patients and muscle-invasive patients with good prognosis, increased CREBBP/FGFR3/HRAS/NFE2L2 mutations, decreased intra-tumor heterogeneity and genome instability, and an activated tumor microenvironment.
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Affiliation(s)
- Baifeng Zhang
- Departments of Clinical Oncology, The University of Hong Kong-Shenzhen Hospital, China.,Departments of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, China.,Geneplus-Beijing, China
| | - Peilin Jia
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, USA
| | - Jiayin Wang
- Department of Computer Science and Technology, School of Electronic and Information Engineering, Xi'an Jiaotong University, Shaanxi, China
| | - Guangsheng Pei
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, USA
| | | | | | - Xiangchun Li
- Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, China
| | - Zhongming Zhao
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, USA
| | | | - Xin-Yuan Guan
- Departments of Clinical Oncology, The University of Hong Kong-Shenzhen Hospital, China.,Departments of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, China
| | - Yi Huang
- Geneplus-Beijing, China.,Department of Computer Science and Technology, School of Electronic and Information Engineering, Xi'an Jiaotong University, Shaanxi, China.,Luohu people's hospital, Shenzhen, China
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