Arg72Pro polymorphism in P53 gene and Breast Cancer Risk Population: a meta-analysis of case-control studies matched

Abstract Background The effect of the Arg72Pro variant of the P53 gene on the risk of developing breast cancer remains variable in populations. However, using strategies like grouping age-matched controls with disease cases may provide a strong meta-analysis. Our goal was to perform a meta-analysis in order to study the association of Arg72Pro variant of P53 gene and breast cancer.Methods Databases such as PubMed, Genetics Medical Literature, Harvard University Library, Web of Science and Genesis Library were used to search articles. Age-matched control studies on breast cancer that evaluated the genotype frequencies of the Arg72Pro P53 gene were selected. Fixed and random effects (Mantel-Haenszel) were calculated using pooled odds ratio of 95% CI to determine the disease risk. Hardy-Weinberg equilibrium test was used to measure deviation in the distribution of genotypes in controls. Inconsistency was calculated to determine heterogeneity among the studies. Estimated publication bias was performed through the funnel plot and Egger’s test.Results Nine publications with controls age-matched cases including 4684 disease cases and 4636 controls were evaluated in this meta-analysis, all were in the Caucasian population. Our results suggested that Arg72Pro P53 was associated with a risk for breast cancer in the dominant model (Pro/Pro+Arg/Pro vs. Arg/Arg: OR= 1.16, 95% CI = 1.04-1.31) and the additive model (Pro vs. Arg: OR= 1.13, 95% CI = 1.03-1.24, P= 0.007), but not in the recessive model (Pro/Pro vs. Arg/Arg + Arg/Pro, OR = 1.18, 95% CI = 0.96-1.44; P= 0.12).Conclusions This meta-analysis found significant association between the Arg72Pro polymorphism in the P53 gene and the breast cancer risk. Individuals carrying at least one Pro allele of the P53 gene are more likely to have breast cancer with dominant and additive models than individuals carrying the Arg allele.