The effect of the p.Arg72Pro variant of the P53 gene on the risk of development ofbreast cancer remains variable in populations. However, the use ofstrategies such aspoolingage-matched controls with disease may provide a consistent meta-analysis. Our goal was to perform a meta-analysis in order to assess the association of p.Arg72Pro variant of P53 gene with the risk of breast cancer. Databases such as PubMed, Genetics Medical Literature, Harvard University Library, Web of Science and Genesis Library were used to search articles. Case-control studies with age-matched on breast cancer havingevaluated the genotype frequencies of the TP53 p.Arg72Pro polymorphism were selected. The fixed and random effects (Mantel-Haenszel) were calculated using pooled odds ratio of 95% CI to determine the risk of disease. Inconsistency was calculated to determine heterogeneity among the studies. The publication bias was estimated using the funnel plot. Twenty-one publications with 7841 cases and 8876 controls were evaluated in this meta-analysis. Overall, our results suggested that TP53 p.Arg72Pro was associated with the risk of breast cancer for the dominant model (OR = 1.09, 95% CI = 1.02–1.16, P = 0.01) and the additive model (OR = 1.09, 95% CI = 1.01–1.17, P = 0.03), but not for the recessive model (OR = 1.07, 95% CI = 0.97–1.18, P = 0.19). According to the ethnic group analysis, Pro allele was associated with the risk of breast cancer in Caucasians for the dominant model and additive model (P = 0.02), and Africans for the recessive model and additive model (P = 0.03). This meta-analysis found a significant association between TP53 p.Arg72Pro polymorphism and the risk of breast cancer. Individuals carrying at least one Pro allele were more likely to have breast cancer than individuals harboring the Arg allele.

中文翻译：

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p53 Arg72Pro p.Arg72Pro多态性与乳腺癌风险：病例对照研究的荟萃分析

P53基因的p.Arg72Pro变体对乳腺癌发生风险的影响在人群中仍然不同。但是，使用诸如疾病匹配的对照等策略可能会提供一致的荟萃分析。我们的目标是进行荟萃分析，以评估P53基因的p.Arg72Pro变体与乳腺癌风险的关联。使用PubMed，遗传医学文献，哈佛大学图书馆，Web of Science和Genesis图书馆等数据库搜索文章。选择年龄匹配的乳腺癌病例对照研究，评估TP53 p.Arg72Pro多态性的基因型频率。固定和随机效应（Mantel-Haenszel）使用95％CI的合并比值比计算以确定疾病的风险。计算不一致以确定研究之间的异质性。使用漏斗图估计发布偏差。本荟萃分析评估了21篇出版物，涉及7841例病例和8876例对照。总体而言，我们的结果表明，TP53 p.Arg72Pro与显性模型（OR = 1.09，95％CI = 1.02-1.16，P = 0.01）和加性模型（OR = 1.09，95％）与乳腺癌风险相关。 CI = 1.01-1.17，P = 0.03），但对于隐性模型则不是（OR = 1.07，95％CI = 0.97-1.18，P = 0.19）。根据族群分析，Pro等位基因与白种人的优势模型和加性模型（P = 0.02）和非洲人的隐性模型和加性模型（P = 0.03）相关。这项荟萃分析发现TP53 p之间存在显着关联。Arg72Pro多态性和患乳腺癌的风险。携带至少一个Pro等位基因的个体比携带Arg等位基因的个体患乳腺癌的可能性更高。