Ren Feiqiang, Zhang Peihai, Ma Ziyang, Zhang Ling, Li Guangsen, Huang Xiaopeng, Chang Degui, Yu Xujun
Chengdu University of Traditional Chinese Medicine.
The Urology and Andrology Department, Hospital of Chengdu University of Traditional Chinese Medicine.
Medicine (Baltimore). 2020 Jan;99(3):e18398. doi: 10.1097/MD.0000000000018398.
Recently, several genome-wide association studies have demonstrated a cumulative association of 17q24 rs1859962 gene variants with prostate cancer (PCa) risk, but conflicting results on this issue have been reported. Hence, we performed a systematic literature review and meta-analysis to assess the association between 17q24 rs1859962 gene and PCa risk.
Systematic literature searches were conducted with PubMed, EMBASE, Science Direct/Elsevier, CNKI, and the Cochrane Library up to January 2019 for studies focusing on the association of 17q24 rs1859962 gene polymorphism with PCa risk. Meta-analysis was performed with Review Manager and stata software. Combined OR were identified with 95% confidence intervals (95% CI) in a random or fixed effects model.
Eight studies were identified, including 7863 cases of PCa patients and 17122 normal controls. Our results revealed significant associations between the 17q24 rs1859962 gene polymorphism and PCa in all genetic models (P < 0.05). The combined odds ratios and 95% confidence intervals were as follows: Additive model (odds ratios [ORs] 1.44, 95%, confidence interval [CI] [1.32, 1.57]); Codominant model (ORs 1.22, 95% CI [1.08, 1.39]); Dominant model (ORs 1.25, 95%, CI [1.17, 1.34]); recessive model (ORs 1.27, 95% CI [1.18, 1.36]); allele model (ORs 1.32, 95% CI [1.12, 1.55]).
The present study supports the proposed association between the 17q24 gene rs1859962 and PCa progression. Specifically, this polymorphism is suggested to be a risk factor of PCa. However, studies with larger sample sizes are needed to better illuminate the correlation between 17q24 rs1859962 gene polymorphism and PCa.
最近，多项全基因组关联研究表明17q24 rs1859962基因变异与前列腺癌（PCa）风险存在累积关联，但关于此问题的研究结果相互矛盾。因此，我们进行了一项系统的文献综述和荟萃分析，以评估17q24 rs1859962基因与PCa风险之间的关联。
截至2019年1月，通过PubMed、EMBASE、Science Direct/Elsevier、中国知网（CNKI）和Cochrane图书馆进行系统的文献检索，以查找关注17q24 rs1859962基因多态性与PCa风险关联的研究。使用Review Manager和stata软件进行荟萃分析。在随机或固定效应模型中确定合并的比值比（OR）及95%置信区间（95%CI）。
共纳入8项研究，包括7863例PCa患者和17122例正常对照。我们的结果显示，在所有遗传模型中，17q24 rs1859962基因多态性与PCa之间均存在显著关联（P<0.05）。合并的比值比及95%置信区间如下：加性模型（比值比[ORs]为1.44，95%置信区间[CI][1.32,1.57]）；共显性模型（ORs为1.22，95%CI[1.08,1.39]）；显性模型（ORs为1.25，95%CI[1.17,1.34]）；隐性模型（ORs为1.27，95%CI[1.18,1.36]）；等位基因模型（ORs为1.32，95%CI[1.12,1.55]）。
本研究支持17q24基因rs1859962与PCa进展之间的关联。具体而言，这种多态性被认为是PCa的一个风险因素。然而，需要更大样本量的研究来更好地阐明17q24 rs1859962基因多态性与PCa之间的相关性。
