Lu Yu, Liu Yanqiong, Zeng Jie, He Yu, Peng Qiliu, Deng Yan, Wang Jian, Xie Li, Li Taijie, Qin Xue, Li Shan
Department of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
Tumour Biol. 2014 May;35(5):3997-4005. doi: 10.1007/s13277-014-1657-y. Epub 2014 Feb 1.
Many studies have been conducted to explore the association between p53 codon 72 polymorphism and prostate cancer (PCa). However, the results remain inconsistent. Therefore, we performed a large meta-analysis of relevant studies to determine a more precise estimation of this relationship. Systematic searches of the electronic databases PubMed, EMBASE, Cochrane Library, and China National Knowledge Infrastructure (CNKI) up to October 2013 were performed. Fixed or random-effects meta-analytical models were used to calculate the summary odds ratio (OR) and corresponding 95% confidence intervals (CIs). Meta-regression, Galbraith plots, subgroup analysis, and sensitivity analysis were also performed. The study included 17 case-control studies involving 2,371 PCa cases and 2,854 controls. Our results showed that the p53 codon 72 polymorphism was not associated with PCa risk in all genetic models in the overall populations. When limiting the meta-analysis to the studies conforming to Hardy-Weinberg equilibrium, the pooled analyses showed a significant association between p53 codon 72 polymorphism and PCa in a Caucasian population in co-dominant model Pro/Pro vs. Arg/Arg (OR = 1.57, 95% CI = 1.08-2.28, P = 0.017) and recessive model Pro/Pro vs. (Arg/Pro + Arg/Arg) (OR = 1.60, 95% CI = 1.12-2.27, P = 0.009). In subgroup analysis stratified by PCa stages and Gleason grades, a slight but significant association was found when advanced PCa was compared with localized PCa only in recessive model Pro/Pro vs. (Arg/Pro + Arg/Arg) (OR = 1.51, 95% CI = 1.02-2.23, P = 0.039). This meta-analysis suggested that the Pro/Pro genotype of p53 codon 72 polymorphism was associated with increased prostate cancer risk, especially among Caucasians.
已经开展了许多研究来探索p53密码子72多态性与前列腺癌(PCa)之间的关联。然而,结果仍然不一致。因此,我们对相关研究进行了一项大型荟萃分析,以更精确地估计这种关系。我们对截至2013年10月的电子数据库PubMed、EMBASE、Cochrane图书馆和中国知网(CNKI)进行了系统检索。使用固定或随机效应荟萃分析模型来计算汇总比值比(OR)和相应的95%置信区间(CIs)。还进行了荟萃回归、Galbraith图、亚组分析和敏感性分析。该研究纳入了17项病例对照研究,涉及2371例PCa病例和2854例对照。我们的结果表明,在总体人群的所有遗传模型中,p53密码子72多态性与PCa风险无关。当将荟萃分析限制在符合哈迪-温伯格平衡的研究中时,汇总分析显示在白种人群中,共显性模型Pro/Pro与Arg/Arg相比,p53密码子72多态性与PCa之间存在显著关联(OR = 1.57,95% CI = 1.08 - 2.28,P = 0.017),隐性模型Pro/Pro与(Arg/Pro + Arg/Arg)相比(OR = 1.60,95% CI = 1.12 - 2.27,P = 0.009)。在按PCa分期和Gleason分级分层的亚组分析中,仅在隐性模型Pro/Pro与(Arg/Pro + Arg/Arg)中,将晚期PCa与局限性PCa进行比较时,发现了轻微但显著的关联(OR = 1.51,95% CI = 1.02 - 2.23,P = 0.039)。这项荟萃分析表明,p53密码子72多态性的Pro/Pro基因型与前列腺癌风险增加相关,尤其是在白种人群中。