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Open Access Research article

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

Peng Zhao1*, Lin Zhao1, Peng Zou1, Ailin Lu1, Ning Liu1, Wei Yan2, Chunsheng Kang3, Zhen Fu1, Yongping You1* and Tao Jiang2*

Author Affiliations

1 Department of Neurosurgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China

2 Department of Neurosurgery, Tiantan Hospital, Capital Medical University, Beijing, 100050, China

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

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BMC Cancer 2012, 12:617  doi:10.1186/1471-2407-12-617

Published: 22 December 2012

Abstract

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.

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