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8q24基因多态性与前列腺癌风险的关联:一项系统评价与Meta分析

Association between 8q24 Gene Polymorphisms and the Risk of Prostate Cancer: A Systematic Review and Meta-Analysis.

作者信息

Li Ran, Qin Zhiqiang, Tang Jingyuan, Han Peng, Xing Qianwei, Wang Feng, Si Shuhui, Wu Xiaolu, Tang Min, Wang Wei, Zhang Wei

机构信息

Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.

Department of Urology, Affiliated Hospital of Nantong University, Nantong, 226001, China.

出版信息

J Cancer. 2017 Sep 15;8(16):3198-3211. doi: 10.7150/jca.20456. eCollection 2017.

Abstract

Though numerous studies have been conducted to investigate the associations between five 8q24 polymorphisms (rs6983267 T>G, rs1447295 C>A, rs16901979 C>A, rs6983561 A>C and rs10090154 C>T) and prostate cancer (PCa) risk, the available results remained contradictory. Therefore, we performed a comprehensive meta-analysis to derive a precise estimation of such associations. We searched electronic databases PubMed, EMBASE, Web of Science and Wan Fang for the relevant available studies up to February 1st, 2017, and 39 articles were ultimately adopted in this meta-analysis. All data were extracted independently by two investigators and recorded in a unified form. The strength of association between 8q24 polymorphisms and PCa susceptibility was evaluated by the pooled odds ratios (ORs) with 95% confidence intervals (CIs). Subgroup analysis was conducted based on ethnicity, source of controls and genotypic method. Overall, a total of 39 articles containing 80 studies were adopted in this meta-analysis. The results of this meta-analysis indicated that five 8q24 polymorphisms above were all related to PCa susceptibility. Besides, in the subgroup analysis by ethnicity, all selected 8q24 polymorphisms were significantly associated with PCa risk in Asian population. In addition, stratification analysis by source of controls showed that significant results were mostly concentrated in the studies' controls from general population. Moreover, when stratified by genotypic method, significant increased PCa risks were found by TaqMan method. Therefore, this meta-analysis demonstrated that 8q24 polymorphisms (rs6983267 T>G, rs1447295 C>A, rs16901979 C>A, rs6983561 A>C and rs10090154 C>T) were associated with the susceptibility to PCa, which held the potential biomarkers for PCa risk.

摘要

尽管已经开展了大量研究来探究5个8q24基因多态性(rs6983267 T>G、rs1447295 C>A、rs16901979 C>A、rs6983561 A>C和rs10090154 C>T)与前列腺癌(PCa)风险之间的关联,但现有结果仍相互矛盾。因此,我们进行了一项全面的荟萃分析,以精确估计此类关联。我们检索了电子数据库PubMed、EMBASE、Web of Science和万方,查找截至2017年2月1日的相关可用研究,最终39篇文章被纳入该荟萃分析。所有数据由两名研究人员独立提取,并以统一形式记录。通过合并比值比(OR)及95%置信区间(CI)评估8q24基因多态性与PCa易感性之间的关联强度。基于种族、对照来源和基因分型方法进行亚组分析。总体而言,该荟萃分析共纳入39篇文章,包含80项研究。该荟萃分析结果表明,上述5个8q24基因多态性均与PCa易感性相关。此外,在按种族进行的亚组分析中,所有选定的8q24基因多态性在亚洲人群中均与PCa风险显著相关。此外,按对照来源进行的分层分析表明,显著结果大多集中在来自普通人群的研究对照中。而且,按基因分型方法分层时,通过TaqMan方法发现PCa风险显著增加。因此,该荟萃分析表明,8q24基因多态性(rs6983267 T>G、rs1447295 C>A、rs16901979 C>A、rs6983561 A>C和rs10090154 C>T)与PCa易感性相关,有望成为PCa风险的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d977/5665036/41c505fba641/jcav08p3198g001.jpg

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