Shancheng Ren1, Gong-Hong Wei2, Dongbing Liu3, Liguo Wang4, Yong Hou5, Shida Zhu6, Lihua Peng7, Qin Zhang2, Yanbing Cheng8, Hong Su3, Xiuqing Zhou3, Jibin Zhang9, Fuqiang Li3, Hancheng Zheng9, Zhikun Zhao10, Changjun Yin11, Zengquan He9, Xin Gao12, Haiyen E Zhau13, Chia-Yi Chu13, Jason Boyang Wu13, Colin Collins14, Stanislav V Volik14, Robert Bell14, Jiaoti Huang15, Kui Wu3, Danfeng Xu16, Dingwei Ye17, Yongwei Yu18, Lianhui Zhu1, Meng Qiao1, Hang-Mao Lee2, Yuehong Yang2, Yasheng Zhu1, Xiaolei Shi1, Rui Chen1, Yang Wang18, Weidong Xu1, Yanqiong Cheng1, Chuanliang Xu1, Xu Gao1, Tie Zhou1, Bo Yang1, Jianguo Hou1, Li Liu9, Zhensheng Zhang1, Yao Zhu17, Chao Qin11, Pengfei Shao11, Jun Pang12, Leland W K Chung13, Jianfeng Xu19, Chin-Lee Wu20, Weide Zhong21, Xun Xu3, Yingrui Li9, Xiuqing Zhang9, Jian Wang22, Huanming Yang22, Jun Wang23, Haojie Huang24, Yinghao Sun25. 1. Department of Urology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, China. 2. Biocenter Oulu, Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland. 3. BGI-Shenzhen, Shenzhen, China; China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen, China. 4. Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, MN, USA. 5. BGI-Shenzhen, Shenzhen, China; China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen, China; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China. 6. BGI-Shenzhen, Shenzhen, China; China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen, China; Division of Genomics and Bioinformatics, CUHK-BGI Innovation Institute of Trans-Omics, The Chinese University of Hong Kong, Hong Kong, China. 7. BGI-Shenzhen, Shenzhen, China; China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen, China; BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China. 8. BGI-Shenzhen, Shenzhen, China; Division of Genomics and Bioinformatics, CUHK-BGI Innovation Institute of Trans-Omics, The Chinese University of Hong Kong, Hong Kong, China. 9. BGI-Shenzhen, Shenzhen, China. 10. BGI-Shenzhen, Shenzhen, China; China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen, China; School of Biological Science and Medical Engineering, Southeast University, Nanjing, China; State Key Laboratory of Bioelectronics, Southeast University, Nanjing, China. 11. Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. 12. Department of Urology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China. 13. Uro-Oncology Research Program, Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. 14. Vancouver Prostate Centre and Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada. 15. Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA. 16. Department of Urology, Changzheng Hospital, Second Military Medical University, Shanghai, China. 17. Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China. 18. Department of Pathology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, China. 19. State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China; Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA. 20. Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. 21. Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China. 22. BGI-Shenzhen, Shenzhen, China; James D. Watson Institute of Genome Sciences, Hangzhou, China. 23. BGI-Shenzhen, Shenzhen, China; Department of Biology, University of Copenhagen, Copenhagen, Denmark; The Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark; King Abdulaziz University, Jeddah, Saudi Arabia. 24. Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, MN, USA. 25. Department of Urology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, China. Electronic address: sunyhsmmu@126.com.
Abstract
BACKGROUND: Global disparities in prostate cancer (PCa) incidence highlight the urgent need to identify genomic abnormalities in prostate tumors in different ethnic populations including Asian men. OBJECTIVE: To systematically explore the genomic complexity and define disease-driven genetic alterations in PCa. DESIGN, SETTING, AND PARTICIPANTS: The study sequenced whole-genome and transcriptome of tumor-benign paired tissues from 65 treatment-naive Chinese PCa patients. Subsequent targeted deep sequencing of 293 PCa-relevant genes was performed in another cohort of 145 prostate tumors. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The genomic alteration landscape in PCa was analyzed using an integrated computational pipeline. Relationships with PCa progression and survival were analyzed using nonparametric test, log-rank, and multivariable Cox regression analyses. RESULTS AND LIMITATIONS: We demonstrated an association of high frequency of CHD1 deletion with a low rate of TMPRSS2-ERG fusion and relatively high percentage of mutations in androgen receptor upstream activator genes in Chinese patients. We identified five putative clustered deleted tumor suppressor genes and provided experimental and clinical evidence that PCDH9, deleted/loss in approximately 23% of tumors, functions as a novel tumor suppressor gene with prognostic potential in PCa. Furthermore, axon guidance pathway genes were frequently deregulated, including gain/amplification of PLXNA1 gene in approximately 17% of tumors. Functional and clinical data analyses showed that increased expression of PLXNA1 promoted prostate tumor growth and independently predicted prostate tumor biochemical recurrence, metastasis, and poor survival in multi-institutional cohorts of patients with PCa. A limitation of this study is that other genetic alterations were not experimentally investigated. CONCLUSIONS: There are shared and salient genetic characteristics of PCa in Chinese and Caucasian men. Novel genetic alterations in PCDH9 and PLXNA1 were associated with disease progression. PATIENT SUMMARY: We reported the first large-scale and comprehensive genomic data of prostate cancer from Asian population. Identification of these genetic alterations may help advance prostate cancer diagnosis, prognosis, and treatment.
BACKGROUND: Global disparities in prostate cancer (PCa) incidence highlight the urgent need to identify genomic abnormalities in prostate tumors in different ethnic populations including Asian men. OBJECTIVE: To systematically explore the genomic complexity and define disease-driven genetic alterations in PCa. DESIGN, SETTING, AND PARTICIPANTS: The study sequenced whole-genome and transcriptome of tumor-benign paired tissues from 65 treatment-naive Chinese PCa patients. Subsequent targeted deep sequencing of 293 PCa-relevant genes was performed in another cohort of 145 prostate tumors. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The genomic alteration landscape in PCa was analyzed using an integrated computational pipeline. Relationships with PCa progression and survival were analyzed using nonparametric test, log-rank, and multivariable Cox regression analyses. RESULTS AND LIMITATIONS: We demonstrated an association of high frequency of CHD1 deletion with a low rate of TMPRSS2-ERG fusion and relatively high percentage of mutations in androgen receptor upstream activator genes in Chinese patients. We identified five putative clustered deleted tumor suppressor genes and provided experimental and clinical evidence that PCDH9, deleted/loss in approximately 23% of tumors, functions as a novel tumor suppressor gene with prognostic potential in PCa. Furthermore, axon guidance pathway genes were frequently deregulated, including gain/amplification of PLXNA1 gene in approximately 17% of tumors. Functional and clinical data analyses showed that increased expression of PLXNA1 promoted prostate tumor growth and independently predicted prostate tumor biochemical recurrence, metastasis, and poor survival in multi-institutional cohorts of patients with PCa. A limitation of this study is that other genetic alterations were not experimentally investigated. CONCLUSIONS: There are shared and salient genetic characteristics of PCa in Chinese and Caucasian men. Novel genetic alterations in PCDH9 and PLXNA1 were associated with disease progression. PATIENT SUMMARY: We reported the first large-scale and comprehensive genomic data of prostate cancer from Asian population. Identification of these genetic alterations may help advance prostate cancer diagnosis, prognosis, and treatment.
Authors: Andrea K Miyahira; Adam Sharp; Leigh Ellis; Jennifer Jones; Salma Kaochar; H Benjamin Larman; David A Quigley; Huihui Ye; Jonathan W Simons; Kenneth J Pienta; Howard R Soule Journal: Prostate Date: 2019-12-11 Impact factor: 4.104
Authors: Jacob A Gordon; Jake W Noble; Ankur Midha; Fatemeh Derakhshan; Gang Wang; Hans H Adomat; Emma S Tomlinson Guns; Yen-Yi Lin; Shancheng Ren; Collin C Collins; Peter S Nelson; Colm Morrissey; Kishor M Wasan; Michael E Cox Journal: Cancer Res Date: 2019-05-07 Impact factor: 12.701