Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2014:2014:648137.
doi: 10.1155/2014/648137. Epub 2014 Jun 10.

Analyzing association of the XRCC3 gene polymorphism with ovarian cancer risk

Cunzhong Yuan  1 , Xiaoyan Liu  1 , Shi Yan  1 , Cunfang Wang  2 , Beihua Kong  1
Affiliations
Meta-Analysis

Analyzing association of the XRCC3 gene polymorphism with ovarian cancer risk

Cunzhong Yuan et al. Biomed Res Int. 2014.

Abstract

This meta-analysis aims to examine whether the XRCC3 polymorphisms are associated with ovarian cancer risk. Eligible case-control studies were identified through search in PubMed. Pooled odds ratios (ORs) were appropriately derived from fixed effects models. We therefore performed a meta-analysis of 5,302 ovarian cancer cases and 8,075 controls from 4 published articles and 8 case-control studies for 3 SNPs of XRCC3. No statistically significant associations between XRCC3 rs861539 polymorphisms and ovarian cancer risk were observed in any genetic models. For XRCC3 rs1799794 polymorphisms, we observed a statistically significant correlation with ovarian cancer risk using the homozygote comparison (T2T2 versus T1T1: OR = 0.70, 95% CI = 0.54-0.90, P = 0.005), heterozygote comparison (T1T2 versus T1T1: OR = 1.10, 95% CI = 1.00-1.21, P = 0.04), and the recessive genetic model (T2T2 versus T1T1+T1T2: OR = 0.67, 95% CI = 0.52-0.87, P = 0.002). For XRCC3 rs1799796 polymorphisms, we also observed a statistically significant correlation with ovarian cancer risk using the heterozygote comparison (T1T2 versus T1T1: OR = 0.91, 95% CI = 0.83-0.99, P = 0.04). In conclusion, this meta-analysis shows that the XRCC3 were associated with ovarian cancer risk overall for Caucasians. Asian and African populations should be further studied.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Study flow chart explaining the selection of the four articles included in the meta-analysis.
See this image and copyright information in PMC

References

    1. Siegel R, Naishadham D, Jemal A. Cancer statistics, 2012. CA: A Cancer Journal for Clinicians. 2012;62(1):10–29. - PubMed
    1. Risch HA. Hormonal etiology of epithelial ovarian cancer, with a hypothesis concerning the role of androgens and progesterone. Journal of the National Cancer Institute. 1998;90(23):1774–1786. - PubMed
    1. Meindl A, Hellebrand H, Wiek C, et al. Germline mutations in breast and ovarian cancer pedigrees establish RAD51C as a human cancer susceptibility gene. Nature Genetics. 2010;42(5):410–414. - PubMed
    1. Loveday C, Turnbull C, Ramsay E, et al. Germline mutations in RAD51D confer susceptibility to ovarian cancer. Nature Genetics. 2011;43(9):879–882. - PMC - PubMed
    1. Yin J, Lu K, Lin J, et al. Genetic variants in TGF-β pathway are associated with ovarian cancer risk. PLoS ONE. 2011;6(9)e25559 - PMC - PubMed

Publication types

Substances

LinkOut - more resources