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Joint analysis of WES and RNA-Seq identify signature genes related to metastasis in prostate cancer
Authors:Chongjun Xiang  Yue Li  Wenting Wang  Huiying Tao  Ning Liang  Shuang Wu  Tianxi Yu  Xin Cui  Yaqi Xie  Hongwei Zuo  Chunhua Lin  Fuyi Xu
Institution:1. The 2nd Medical College of Binzhou Medical University, Yantai, China

Department of Urology, the Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China

Contribution: Data curation (supporting), Formal analysis (lead), Software (equal), Visualization (equal), Writing - original draft (equal);2. The 2nd Medical College of Binzhou Medical University, Yantai, China

Department of Urology, the Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China

Contribution: Formal analysis (equal), Writing - original draft (equal);3. Department of Central Laboratory, the Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China

Contribution: Data curation (lead);4. The 2nd Medical College of Binzhou Medical University, Yantai, China

Department of Urology, the Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China

Contribution: Software (equal);5. Department of Urology, the Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China

School of Clinical Medicine, Weifang Medical University, Weifang, China

Contribution: Visualization (equal);6. Department of Urology, the Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China

Contribution: Resources (equal);7. Department of Urology, the Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China

School of Clinical Medicine, Weifang Medical University, Weifang, China

Contribution: Resources (equal);8. The 2nd Medical College of Binzhou Medical University, Yantai, China

Department of Urology, the Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China

Contribution: Resources (equal);9. Department of Urology, the Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China;10. Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, School of Pharmacy, Binzhou Medical University, Yantai, China

Abstract:Prostate cancer (PCa) has a certain degree of heritability, and metastasis occurs as cancer progresses. However, its underlying mechanism remains largely unknown. We sequenced four cases of cancer without metastasis, four metastatic cancer, and four benign hyperplasia tissues as controls. A total of 1839 damaging mutations were identified. Pathway analysis, gene clustering, and weighted gene co-expression network analysis were employed to find characteristics associated with metastasis. Chr19 had the most mutation density and 1p36 had the highest mutation frequency across the genome. These mutations occurred in 1630 genes, including the most frequently mutated genes TTN and PLEC, and dozens of metastasis-related genes, such as FOXA1, NCOA1, CD34, and BRCA2. Ras signalling and arachidonic acid metabolism were uniquely enriched in metastatic cancer. Gene programmes 10 and 11 showed the signatures indicating the occurrence of metastasis better. A module (135 genes) was specifically associated with metastasis. Of them, 67.41% reoccurred in program 10, with 26 genes further retained as the signature genes related to PCa metastasis, including AGR3, RAPH1, SOX14, DPEP1, and UBL4A. Our study provides new molecular perspectives on PCa metastasis. The signature genes and pathways could be served as potential therapeutic targets for metastasis or cancer progression.
Keywords:gene expression  metastasis  prostate cancer  RNA-Seq  WES
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