Diakite Brehima, Kassogue Yaya, Dolo Guimogo, Wang Jun, Neuschler Erin, Kassogue Oumar, Keita Mamadou L, Traore Cheick B, Kamate Bakarou, Dembele Etienne, Nadifi Sellama, Murphy Robert L, Doumbia Seydou, Hou Lifang, Maiga Mamoudou
Faculty of Medicine and Odontostomatology, 1805, Université des Sciences, des Techniques et des Technologies Sciences de Bamako (USTTB), Hamdallaye ACI, 2000, Bamako, Mali.
Teaching Hospital Center of Point G, 333, Bamako, Mali.
BMC Med Genet. 2020 Oct 19;21(1):206. doi: 10.1186/s12881-020-01133-8.
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.
P53基因的p.Arg72Pro变异对乳腺癌发生风险的影响在不同人群中存在差异。然而，采用将年龄匹配的对照与疾病组进行合并等策略可能会得出一致的荟萃分析结果。我们的目标是进行一项荟萃分析，以评估P53基因的p.Arg72Pro变异与乳腺癌风险之间的关联。
使用PubMed、遗传学医学文献数据库、哈佛大学图书馆、科学网和创世纪图书馆等数据库检索文章。选择对乳腺癌进行年龄匹配且评估了TP53 p.Arg72Pro多态性基因型频率的病例对照研究。使用合并比值比的95%置信区间计算固定效应和随机效应（Mantel-Haenszel法），以确定疾病风险。计算不一致性以确定研究间的异质性。使用漏斗图估计发表偏倚。
本荟萃分析评估了21篇包含7841例病例和8876例对照的文献。总体而言，我们的结果表明，对于显性模型（OR = 1.09，95%CI = 1.02 - 1.16，P = 0.01）和相加模型（OR = 1.09，95%CI = 1.01 - 1.17，P = 0.03），TP53 p.Arg72Pro与乳腺癌风险相关，但对于隐性模型（OR = 1.07，95%CI = 0.97 - 1.18，P = 0.19）则不然。根据种族分析，对于显性模型和相加模型，Pro等位基因在白种人中与乳腺癌风险相关（P = 0.02），对于隐性模型和相加模型，在非洲人中与乳腺癌风险相关（P = 0.03）。
这项荟萃分析发现TP53 p.Arg72Pro多态性与乳腺癌风险之间存在显著关联。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大。
