TY - JOUR AB - p53 is a tumor suppressor gene and plays important roles in the etiology of breast cancer. Studies have produced conflicting results concerning the role of p53 codon 72 polymorphism (G>C) on the risk of breast cancer; therefore, a meta-analysis was performed to estimate the association between the p53 codon 72 polymorphism and breast cancer. Screening of the PubMed database was conducted to identify relevant studies. Studies containing available genotype frequencies of the p53 codon 72 polymorphism were selected and a pooled odds ratio (OR) with 95% confidence interval (CI) was used to assess the association. Sixty-one published studies, including 28,539 breast cancer patients and 32,788 controls were identified. The results suggest that variant genotypes are not associated with breast cancer risk (Pro/Pro + Arg/Pro vs. Arg/Arg: OR=1.016, 95% CI=0.931-1.11, P=0.722). The symmetric funnel plot, Egger's test (P=0.506) and Begg's test (P=0.921) were all suggestive of the lack of publication bias. This meta-analysis suggests that the p53 codon 72 Pro/Pro + Arg/Pro genotypes are not associated with an increased risk of breast cancer. To validate the association between the p53 codon 72 polymorphism and breast cancer, further studies with larger numbers of participants worldwide are required. AD - Laboratory of Molecular Genetics of Aging and Tumor, Medical Faculty, Kunming University of Science and Technology, Kunming, Yunnan 650500, P.R. China Laboratory of Molecular Genetics of Aging and Tumor, Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan 650500, P.R. China AU - Hou,Jing AU - Jiang,Yuan AU - Tang,Wenru AU - Jia,Shuting DA - 2013/05/01 DO - 10.3892/etm.2013.1019 EP - 1402 IS - 5 JO - Exp Ther Med KW - p53 meta-analysis breast cancer PY - 2013 SN - 1792-0981 1792-1015 SP - 1397 ST - p53 codon 72 polymorphism and breast cancer risk: A meta-analysis T2 - Experimental and Therapeutic Medicine TI - p53 codon 72 polymorphism and breast cancer risk: A meta-analysis UR - https://doi.org/10.3892/etm.2013.1019 VL - 5 ER -