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Mol Biol Rep. 2013 Mar;40(3):2061-8. doi: 10.1007/s11033-012-1970-8. Epub 2013 Jan 18.

The association between MTHFR C677T polymorphism and ovarian cancer risk: a meta-analysis of 18,628 individuals.

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  • 1Department of Gynecology, Changning Maternity and Infant Health Hospital of Shanghai, 773 Wuyi Road, Shanghai, 200051, China.

Abstract

Methylenetetrahydrofolate reductase (MTHFR) enzyme plays an important role in folate metabolism and MTHFR polymorphisms have been suggested to be associated with risk of various cancers. MTHFR C677T polymorphism is a common genetic alteration and may affect the host susceptibility to ovarian cancer. The aim of this study was to investigate the association between MTHFR C677T polymorphism and ovarian cancer risk by performing a meta-analysis. Pubmed, Embase, Web of Science and Chinese Biomedical Database (CBM) databases were searched for case-control studies investigating the association between MTHFR C677T polymorphism and ovarian cancer. Odds ratio (OR) and its 95 % confidence interval (95 % CI) was used to assess this possible association. 13 individual case-control studies from 10 publications with a total of 18, 628 subjects (5, 932 cases and 12, 696 controls) were included into this meta-analysis. Meta-analyses showed there was no association between MTHFR C677T polymorphism and ovarian cancer risk in Caucasians under all five genetic models (All P values for the pooled ORs were more than 0.05), whereas there was an obvious association between MTHFR C677T polymorphism and ovarian cancer risk in Asians under four genetic models (for T vs C, OR (95 % CI) = 1.38(1.19-1.61); for TT vs CC, OR (95 % CI) = 2.32(1.63-3.29); for TT vs TC+CC, OR (95 % CI) = 2.04(1.47-2.85); for TT+TC vs CC, OR (95 % CI) = 1.36(1.12-1.65)). Subgroup analyses suggested ethnicity was the major source of heterogeneity. This meta-analysis supports an association between MTHFR C677T polymorphism and ovarian cancer risk, and there might be a race-specific effect in this association. Further studies with large sample size and careful design are needed to identify this association more comprehensively.

PMID:
23329275
[PubMed - indexed for MEDLINE]
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