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Liu J, Yan J, Mao R, Ren G, Liu X, Zhang Y, Wang J, Wang Y, Li M, Qiu Q, Wang L, Liu G, Jin S, Ma L, Ma Y, Zhao N, Zhang H, Lin B. Exome sequencing identified six copy number variations as a prediction model for recurrence of primary prostate cancers with distinctive prognosis. Transl Cancer Res 2020; 9:2231-2242. [PMID: 35117583 PMCID: PMC8798897 DOI: 10.21037/tcr.2020.03.31] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 02/05/2020] [Indexed: 01/12/2023]
Abstract
Background Prostate cancer (PCa) is a common type of malignancy, which represents one of the leading causes of death among men worldwide. Copy number variations (CNVs) and gene fusions play important roles in PCa and may serve as markers for the prognosis of this condition. Methods We have presently conducted an analysis of CNVs and gene fusions in PCa, using whole exome sequencing (WES) data of primary tumors. For this, a cohort of 74 PCa patients, including 30 recurrent and 44 non-recurrent cases, were assessed during 5 years of follow-up. Results We have identified 66 CNVs that were specific to the primary tumor tissues from the recurrent PCa group. Most of duplicated genomic regions were located in 8q2, suggesting that this chromosomal region could be important for the prognosis of PCa. Meanwhile, we have developed a random forest model, using six selected CNVs, with an accuracy near 90% for predicting PCa recurrence according to a 10-fold cross validation. In addition, we have detected 16 recurrent oncogenic gene fusions in PCa. Among these, ALK (ALK receptor tyrosine kinase)-involved fusions were the most common type of gene fusion (n=7). Four of these fusions (i.e., EML4-ALK, STRN-ALK, CLTC-ALK, ETV6-ALK) were previously identified in other cancer types, while the remaining three gene fusions (FRYL-ALK, ABL1-ALK, and BCR-ALK) were here identified. Conclusions Our findings expand the current understanding in regard to prostate carcinogenesis. Current data might be further used for assay development as well as to predict PCa recurrence, using primary tissues.
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Affiliation(s)
- Jie Liu
- College of Life Science, Zhejiang University, Hangzhou 310027, China.,Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Jiajun Yan
- Department of Urology, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Shaoxing 312000, China
| | - Ruifang Mao
- Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Guoping Ren
- Department of Pathology, The First Affiliated Hospital, Zhejiang University Medical College, Hangzhou 310003, China
| | - Xiaoyan Liu
- Department of Pathology, The First Affiliated Hospital, Zhejiang University Medical College, Hangzhou 310003, China
| | - Yanling Zhang
- Department of Pathology, The First Affiliated Hospital, Zhejiang University Medical College, Hangzhou 310003, China.,Department of Gynecology and Obstetrics, Sir Run Run Shaw Hospital, Zhejiang University Medical College, Hangzhou 310016, China
| | - Jili Wang
- Department of Pathology, The First Affiliated Hospital, Zhejiang University Medical College, Hangzhou 310003, China
| | - Yan Wang
- Department of Pathology, The First Affiliated Hospital, Zhejiang University Medical College, Hangzhou 310003, China
| | - Meiling Li
- Department of Epidemiology, Second Military Medical University, Shanghai 200433, China
| | - Qingchong Qiu
- Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Lin Wang
- Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Guanfeng Liu
- Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Shanshan Jin
- Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Liang Ma
- Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Yingying Ma
- Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Na Zhao
- Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Hongwei Zhang
- Department of Epidemiology, Second Military Medical University, Shanghai 200433, China
| | - Biaoyang Lin
- College of Life Science, Zhejiang University, Hangzhou 310027, China.,Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310027, China.,Department of Urology, University of Washington, Seattle, WA, USA
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