Association between XRCC3 Thr241Met Polymorphism and Risk of Breast Cancer: Meta-Analysis of 23 Case-Control Studies

Med Sci Monit. 2015 Oct 25:21:3231-40. doi: 10.12659/msm.894637.

Abstract

Background: Studies have shown that gene and environmental factors, such as BRCA1/2 mutations, ionized radiation, and chemical carcinogens, are related with breast cancer. X-ray repair cross-complementing group 3 (XRCC3) is involved in homologous repair of double DNA breaks. It was reported that Thr241Met single-nucleotide polymorphism (SNP) in XRCC3 is associated with increased risk of breast cancer. However, the finding remains controversial. The current meta-analysis aims to determine whether XRCC3 Thr241Met polymorphism is associated with increased risk of breast cancer.

Material and methods: We performed a meta-analysis of association between XRCC3 T241M polymorphism and the risk of breast cancer. Crude odds ratios (ORs) together with 95% confidence intervals (CIs) were used to assess the strength of association in dominant, recessive, and homozygote models.

Results: We included 23 studies consisting of 13513 cases and 14100 controls in our study. For meta-analysis on the entire database, association of the SNP and breast cancer risk was observed in recessive (OR=1.10, 95% CI: 1.03-1.18, p=0.005) and homozygote (OR=1.09, 95% CI: 1.01-1.18, p=0.023) models. For the analysis on the Asian population subgroup, association of the SNP and breast cancer risk was also observed in recessive (OR=1.615, 95% CI: 1.17-2.228, p=0.004) and homozygote (OR=1.609, 95% CI: 1.154-2.241, p=0.005) models. For the evaluation of the patients without family history of breast cancer, association of the SNP and breast cancer risk was observed in dominant (OR=1.364, 95% CI: 1.096-1.698, p=0.005), recessive (OR=1.336, 95% CI: 0.999-1.788, p=0.051) and homozygote (OR=1.492, 95% CI: 1.085-2.051, p=0.014) models.

Conclusions: We can conclude that XRCC3 Thr241Met polymorphism might be associated with breast cancer risk, especially in Asian populations and in patients without family history of breast cancer.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Breast Neoplasms / genetics*
  • Case-Control Studies
  • DNA-Binding Proteins / genetics*
  • Female
  • Genetic Association Studies
  • Genetic Predisposition to Disease*
  • Genotype
  • Homozygote
  • Humans
  • Models, Statistical
  • Mutation*
  • Odds Ratio
  • Polymorphism, Single Nucleotide*
  • Risk Factors

Substances

  • DNA-Binding Proteins
  • X-ray repair cross complementing protein 3