These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Analysis of the association between the XRCC2 rs3218536 polymorphism and ovarian cancer risk.
    Author: Yuan C, Liu X, Li R, Yan S, Kong B.
    Journal: Arch Med Sci; 2020; 16(3):682-691. PubMed ID: 32399118.
    Abstract:
    INTRODUCTION: Results conflict on the association between the XRCC2 rs3218536 polymorphism and ovarian cancer risk, despite wide-ranging investigations. This meta-analysis examines whether the XRCC2 rs3218536 polymorphism is associated with ovarian cancer risk. MATERIAL AND METHODS: Eligible case-control studies were searched in PubMed. We therefore performed a meta-analysis of 5,802 ovarian cancer cases and 9,390 controls from 7 articles published. The strength of association between XRCC2 rs3218536 polymorphism and ovarian cancer susceptibility was calculated using pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs). RESULTS: No statistically significant associations between XRCC2 rs3218536 polymorphism and ovarian cancer risk were found in any genetic models. However, a significant relationship with ovarian cancer risk was discovered when the high quality studies were pooled in the meta-analysis (AA vs. GG: OR = 0.59, 95% CI: 0.37-0.94, p = 0.03; GA vs. GG: OR = 0.87, 95% CI: 0.78-0.96, p = 0.009; GA + AA vs. GG: OR = 0.85, 95% CI: 0.77-0.94, p = 0.003; AA vs. GG + GA: OR = 0.60, 95% CI: 0.38-0.95, p = 0.03). CONCLUSIONS: This meta-analysis shows that the XRCC2 rs3218536 polymorphism was associated with ovarian cancer risk overall for high quality studies. Non-Caucasian groups and high quality studies should be further studied.
    [Abstract] [Full Text] [Related] [New Search]