Identification of Genetic Variants in Base Excision Repair Pathway and Their Associations with Risk of Esophageal Squamous Cell Carcinoma

Bingtao Hao(Chinese National Human Genome Center), Haijian Wang(Chinese National Human Genome Center), Kaixin Zhou(Chinese National Human Genome Center), Yi Li, Xiaoping Chen(Chinese National Human Genome Center), Gangqiao Zhou(Chinese National Human Genome Center), Yunping Zhu, Xiaoping Miao(Chinese Academy of Medical Sciences & Peking Union Medical College), Wen Tan(Chinese Academy of Medical Sciences & Peking Union Medical College), Qingyi Wei(The University of Texas MD Anderson Cancer Center), Dongxin Lin(Chinese Academy of Medical Sciences & Peking Union Medical College), Fuchu He(Chinese National Human Genome Center)
Cancer Research
June 15, 2004
Cited by 220Open Access
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Abstract

The etiology of esophageal squamous cell carcinoma (ESCC) has been shown to be associated with genetic and certain environmental factors that produce DNA damage. Base excision repair (BER) genes are responsible for repair of DNA damage caused by reactive oxygen species and other electrophiles and therefore are good candidate susceptibility genes for ESCC. We first screened eight BER genes for new and potential functional polymorphisms by resequencing 27 DNA samples. We then identified and genotyped for important tagging single nucleotide polymorphisms (SNPs) in a case-control study of 419 patients with newly diagnosed esophageal cancer and 480 healthy controls by frequency matching on age and sex. The association between genotypes and ESCC risk was estimated by unconditional multivariate logistic regression analysis, and stepwise regression procedure was used for constructing the final logistic regression model. We identified 129 SNPs in the eight BER genes, including 18 SNPs that cause amino acid changes. In the final model, 4 SNPs, including 2 in the coding regions (ADPRT Val762Ala and MBD4 Glu346Lys) and others in noncoding regions (LIG3 A3704G and XRCC1 T-77C), remained as significant predictors for the risk of ESCC. The adjusted odd ratios were 1.25 [95% confidence interval (CI) 1.02-1.53] for the ADPRT 762Ala allele, 1.25 (95% CI 1.02-1.53) for the MBD4 346 Lys allele, 0.78 (95% CI 0.63-0.97) for the LIG3 3704G allele, and 1.38 (95% CI 1.01-1.89) for the XRCC1-77C allele. In addition, we observed a significant gene-gene interaction between XRCC1 Gln399Arg and ADPRT Val762Ala. The results suggest that the polymorphisms in five BER genes may be associated with the susceptibility to ESCC in a Chinese population.


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