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加权基因共表达网络分析通过抑制细胞周期确定CCNA2为前列腺癌的治疗靶点。

Weighted gene co-expression network analysis identifies CCNA2 as a treatment target of prostate cancer through inhibiting cell cycle.

作者信息

Yang Rui, Du Yang, Wang Lei, Chen Zhiyuan, Liu Xiuheng

机构信息

Department of Urology, Ren min Hospital of Wuhan University, Wuhan, Hubei, 430060, China.

出版信息

J Cancer. 2020 Jan 1;11(5):1203-1211. doi: 10.7150/jca.38173. eCollection 2020.

DOI:10.7150/jca.38173
PMID:31956366
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6959059/
Abstract

Prostate cancer is a malignant tumor disease that seriously harms the lives of middle-aged and elderly men. Weighted gene co-expression analysis can be used to construct gene co-expression networks to explore gene sets and genes that are significantly correlated with clinical features. In this study, the transcriptome data of prostate cancer on TCGA was analyzed by weighted gene co-expression network, and the gene with a significant correlation with disease Gleason stage and tumor T stage was identified: CCNA2. CCNA2 was significantly associated with biochemical recurrence, disease-free survival and overall survival rate of prostate cancer. The ability of cancer cell proliferation, invasion and metastasis was decreased after down-regulated expression of CCNA2 in prostate cancer cell lines. Flow cytometry revealed that tumor cells were arrested in the S phase after down-regulated the expression of CCNA2. Taken together, we used WGCNA and obtain a gene CCNA2 which is significantly associated with the prognosis of prostate cancer, which may be an indicator of the prognosis of prostate cancer and a new therapeutic target.

摘要

前列腺癌是一种严重危害中老年男性生命的恶性肿瘤疾病。加权基因共表达分析可用于构建基因共表达网络,以探索与临床特征显著相关的基因集和基因。在本研究中,通过加权基因共表达网络分析了TCGA上前列腺癌的转录组数据,并鉴定出与疾病Gleason分期和肿瘤T分期显著相关的基因:CCNA2。CCNA2与前列腺癌的生化复发、无病生存率和总生存率显著相关。在前列腺癌细胞系中下调CCNA2的表达后,癌细胞的增殖、侵袭和转移能力降低。流式细胞术显示,下调CCNA2的表达后,肿瘤细胞停滞在S期。综上所述,我们使用加权基因共表达网络分析获得了一个与前列腺癌预后显著相关的基因CCNA2,它可能是前列腺癌预后的一个指标和新的治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f5b/6959059/b7b973a7528d/jcav11p1203g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f5b/6959059/0443cb4bb6c9/jcav11p1203g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f5b/6959059/f4b9be1c8ae9/jcav11p1203g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f5b/6959059/ac2a82c01527/jcav11p1203g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f5b/6959059/b7b973a7528d/jcav11p1203g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f5b/6959059/0443cb4bb6c9/jcav11p1203g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f5b/6959059/f4b9be1c8ae9/jcav11p1203g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f5b/6959059/ac2a82c01527/jcav11p1203g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f5b/6959059/b7b973a7528d/jcav11p1203g004.jpg

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