## Abstract The association between vascular endothelial growth factor (VEGF) gene polymorphisms and gastric cancer risk is still controversial and ambiguous. The objective of this study was to investigate the association between VEGF gene polymorphisms and gastric cancer risk in Chinese Han patien
Possible association between polymorphisms of human vascular endothelial growth factor A gene and susceptibility to glioma in a Chinese population
✍ Scribed by Rui Li; Yao Zhao; Weiwei Fan; Hongyan Chen; Yuanyuan Chen; Yanhong Liu; Gong Chen; Keke Zhou; Fengping Huang; Ying Mao; Liangfu Zhou; Daru Lu; Yin Yao Shugart
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- French
- Weight
- 204 KB
- Volume
- 128
- Category
- Article
- ISSN
- 0020-7136
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Vascular endothelial growth factor A (VEGFA), one of the most predominant mediators of pathologic angiogenesis, plays a critical role in glioma carcinogenesis and development via promoting tumor growth. We hypothesized that VEGFA polymorphisms may influence glioma risk. We recently genotyped 9 VEGFA single‐nucleotide polymorphisms (SNPs) in 766 glioma patients and 824 cancer‐free controls selected from a Chinese population. We evaluated the glioma risk conferred by individual SNPs, haplotypes as well as cumulative SNP effect. In the single‐locus analysis, we found that rs2010963 (G+405C, G‐634C) [odds ratio (OR) = 1.29; 95% confidence interval (CI) = 1.04–1.58; GC/CC vs. GG] and rs3025030 (OR = 2.21; 95% CI = 1.18–4.14; CC vs. GG/GC) were associated with increased risk for glioma, and rs3024994 (OR = 0.66; 95% CI = 0.47–0.94; CT/TT vs. CC) was associated with reduced glioma risk, albeit insignificant after Bonferroni correction for multiple comparisons. The haplotype‐based analysis revealed that AGG in block 1 and ATT, ACT in block 2 were associated with 20–40% reductions in glioma risk. The inverse association of haplotype AGG containing rs2010963G remained significant after correction for multiple testing (p = 0.002, p~corrected~ = 0.022). The aforementioned 3 SNPs revealed a significant cumulative risk effect; the increased risk for glioma was 1.38‐fold for each additional adverse genotype he or she carries (p~trend~ = 8.4 × 10^−5^). Our findings suggested that VEGFA variants may be involved in glioma risk. Larger studies with ethnically diverse populations are warranted to confirm the results reported in this investigation.
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