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. 2017 Jul 4;8(34):57265-57277.
doi: 10.18632/oncotarget.18986. eCollection 2017 Aug 22.

Folate metabolism genetic polymorphisms and meningioma and glioma susceptibility in adults

Dongming Chen #  1 , Jun Dong #  1 , Ying Huang #  2 , Feng Gao  1 , Xiaopeng Yang  1 , Xianglun Gong  1 , Xiaochen Lv  3 , Chenghao Chu  4 , Yonggang Wu  1 , Yong Zheng  5
Affiliations

Folate metabolism genetic polymorphisms and meningioma and glioma susceptibility in adults

Dongming Chen et al. Oncotarget. .

Abstract

Polymorphic variants of genes involved in folate metabolism are implicated in the susceptibility to meningioma and glioma, but the results from published articles are controversial and inconclusive. Therefore, we performed this meta-analysis including all studies available to evaluate the relationship between folate metabolism genetic polymorphisms and the susceptibility to meningioma and glioma in adults. We searched the literature in PubMed, EMBASE and Cochrane Central Library for relevant articles published up to August 2016. The odds ratios (ORs) and the corresponding 95% confidence intervals (95%Cls) were used to evaluate the associations of two folate metabolism genetic variants MTRR A66G (rs1801394) and MTHFR A1298C (rs1801131) with the risk of meningioma and glioma in adults. We found significant association of MTHFR A1298C (rs1801131) variant genotypes with increased incidence of meningioma and glioma in this study population (CA vs. AA: OR=1.22, P<0.001; CA+CC vs. AA: OR=1.18, P=0.002). Moreover, we found that MTRR A66G (rs1801394) variant genotypes was associated with increased risk of meningioma and glioma (G vs. A: OR=1.11, P=0.020; GG vs. AA+AG: OR=1.17, P=0.043; GG vs. AA: OR=1.22, P=0.023). In conclusion, our meta-analysis suggests that two folate metabolism genetic variants MTRR A66G (rs1801394) and MTHFR A1298C (rs1801131) contribute to genetic susceptibility to meningioma and glioma in adults.

Keywords: MTHFR; MTRR; SNP: meta-analysis; glioma; meningioma.

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Conflict of interest statement

CONFLICTS OF INTEREST The authors declared that they have no competing interest.

Figures

Figure 1
Figure 1. Flow chart of study selection in this meta-analysis
Figure 2
Figure 2. Forest plot on the association between A66G (rs1801394) and meningioma and glioma susceptibility in adults in the allele model
(A) Overall analysis. (B) Subgroup analysis by cancer type.
Figure 3
Figure 3. Forest plot on the association between A1298C (rs1801311) and meningioma and glioma susceptibility in adults stratified by cancer type in the allele model
Figure 4
Figure 4. Sensitivity analyses of current meta-analysis in the allele model
(A) A66G (rs1801394) and meningioma and glioma risk in adults. (B) A1298C (rs1801311) and meningioma and glioma risk in adults.
Figure 5
Figure 5. Begg’s funnel plot for publication bias test of current meta-analysis in the allele model
(A) A66G (rs1801394). (B) A1298C (rs1801311).
See this image and copyright information in PMC

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