4.5 Article

The association between XRCC3 rs1799794 polymorphism and cancer risk: a meta-analysis of 34 case-control studies

Journal

BMC MEDICAL GENOMICS
Volume 14, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12920-021-00965-4

Keywords

Rs1799794; Polymorphism; Cancer; Risk; Meta-analysis

Funding

  1. Applied Basic Foundation of Yunnan Province [202001AT070009]
  2. Yunnan Health Training Project of High Level Talents [D-2019032]

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Studies on the XRCC3 rs1799794 polymorphism show that it is associated with cancer risk, especially increased risk for breast cancer and thyroid cancer and reduced risk for ovarian cancer. However, further large-scale studies are needed to evaluate the results.
Background Studies on the XRCC3 rs1799794 polymorphism show that this polymorphism is involved in a variety of cancers, but its specific relationships or effects are not consistent. The purpose of this meta-analysis was to investigate the association between rs1799794 polymorphism and susceptibility to cancer. Methods PubMed, Embase, the Cochrane Library, Web of Science, and Scopus were searched for eligible studies through June 11, 2019. All analyses were performed with Stata 14.0. Subgroup analyses were performed by cancer type, ethnicity, source of control, and detection method. A total of 37 studies with 23,537 cases and 30,649 controls were included in this meta-analysis. Results XRCC3 rs1799794 increased cancer risk in the dominant model and heterozygous model (GG + AG vs. AA: odds ratio [OR] = 1.04, 95% confidence interval [CI] = 1.00-1.08, P = 0.051; AG vs. AA: OR = 1.05, 95% CI = 1.00-1.01, P = 0.015). The existence of rs1799794 increased the risk of breast cancer and thyroid cancer, but reduced the risk of ovarian cancer. In addition, rs1799794 increased the risk of cancer in the Caucasian population. Conclusion This meta-analysis confirms that XRCC3 rs1799794 is related to cancer risk, especially increased risk for breast cancer and thyroid cancer and reduced risk for ovarian cancer. However, well-designed large-scale studies are required to further evaluate the results.

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