Genetic oxidative stress variants and glioma risk in a Chinese population: a hospital-based case–control study

BMC Cancer

Tao Jiang¹  Yongping You²  Zhen Fu²  Chunsheng Kang³  Wei Yan¹  Ning Liu²  Ailin Lu²  Peng Zou²  Lin Zhao²  Peng Zhao² 

[1]Department of Neurosurgery, Tiantan Hospital, Capital Medical University, Beijing, 100050, China

[2]Department of Neurosurgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China

[3]Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, 300052, China

关键词: NOS1;    GPX1;    SOD3;    SOD2;    Glioma;    Single nucleotide polymorphism;    Oxidative stress;   

Others  :  1127644
DOI  :  10.1186/1471-2407-12-617

 received in 2012-06-17, accepted in 2012-12-18,  发布年份 2012

【 摘 要 】

Background

The oxidative stress mechanism is of particular interest in the pathogenesis of glioma, given the high rate of oxygen metabolism in the brain. Potential links between polymorphisms of antioxidant genes and glioma risk are currently unknown. We therefore investigated the association between polymorphisms in antioxidant genes and glioma risk.

Methods

We examined 16 single nucleotide polymorphisms (SNPs) of 9 antioxidant genes (GPX1, CAT, PON1, NQO1, SOD2/MnSOD, SOD3, and NOS1*2*3) in 384 glioma and 384 control cases in a Chinese hospital-based case–control study. Genotypes were determined using the OpenArray platform, which employs the chip-based Taq-Man genotyping technology. The adjusted odds ratio (OR) and 95% confidence interval (CI) were estimated using unconditional logistic regression.

Results

Using single-locus analysis, we identified four SNPs (SOD2 V16A, SOD3 T58A, GPX1 -46 C/T, and NOS1 3’-UTR) that were significantly associated with the risk of glioma development. To assess the cumulative effects, we performed a combined unfavourable genotype analysis. Compared with the reference group that exhibited no unfavourable genotypes, the medium- and high-risk groups exhibited a 1.86-fold (95% CI, 1.30-2.67) and a 4.86-fold (95% CI, 1.33-17.71) increased risk of glioma, respectively (P-value for the trend < 0.001).

Conclusions

These data suggest that genetic variations in oxidative stress genes might contribute to the aetiology of glioma.

【 授权许可】

   
2012 Zhao et al.; licensee BioMed Central Ltd.

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