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Meta-analysis of an association of codon 72 polymorphisms of the p53 gene with increased endometrial cancer risk.

Abstract
Polymorphisms of the p53 gene have been associated with susceptibility to endometrial cancer. However, whether there is a specific association is still controversial. We investigated a possible association between p53 codon 72 polymorphism and endometrial cancer risk by conducting a meta-analysis. Publications addressing this association were selected from the Pubmed, Embase and CBM databases (up to January 2011). Data were extracted from the studies by two independent reviewers. The meta-analysis was performed using RevMan 5.0.25 and STATA 9.2 softwares. The odds ratio (OR) with 95% confidence intervals (CI) was calculated. Then, 10 case-control studies were retrieved, with a total of 917 endometrial cancer patients and 1680 healthy controls. Meta-analysis results showed that the Pro allele and Pro carrier (Arg/Pro + Pro/Pro) of p53 codon 72 polymorphism were significantly related with endometrial cancer risk (OR = 1.25, 95%CI = 1.10-1.41, P = 0.0005; OR = 1.34, 95%CI = 1.12-1.59, P = 0.001, respectively). In the subgroup analysis, based on ethnicity, studies were divided into Asian and Caucasian populations; the Pro allele and Pro carrier (Arg/Pro + Pro/Pro) of p53 codon 72 polymorphism were significantly related with endometrial cancer risk in Asian populations (OR = 1.41, 95%CI = 1.19-1.66, P < 0.0001; OR = 1.66, 95%CI = 1.30-2.13, P < 0.0001, respectively), but not in Caucasian populations (both P > 0.05). We concluded that the Pro allele (Arg/Pro + Pro/Pro) of p53 codon 72 polymorphism is a potential risk factor for endometrial cancer.
AuthorsY Gu, X Zhou, S L Zhang
JournalGenetics and molecular research : GMR (Genet Mol Res) Vol. 10 Issue 4 Pg. 3609-19 (Oct 31 2011) ISSN: 1676-5680 [Electronic] Brazil
PMID22057999 (Publication Type: Journal Article, Meta-Analysis, Research Support, Non-U.S. Gov't)
Chemical References
  • Codon
  • Tumor Suppressor Protein p53
Topics
  • Codon (genetics)
  • Endometrial Neoplasms (genetics)
  • Female
  • Gene Frequency (genetics)
  • Genetic Association Studies
  • Genetic Predisposition to Disease
  • Humans
  • Linear Models
  • Polymorphism, Single Nucleotide (genetics)
  • Publication Bias
  • Risk Factors
  • Tumor Suppressor Protein p53 (genetics)

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