HapMap-based study: CYP2A13 may be a potential key metabolic enzyme gene in the carcinogenesis of lung cancer in non-smokers

Abstract

Background: The aim of this study was to evaluate the association between CYP2A13 polymorphisms and lung cancer susceptibility using the HapMap database.

Methods: A case-control analysis of 532 subjects with lung cancer and 614 controls with no personal history of the disease was performed. The tag SNPs rs1645690 and rs8192789 for CYP2A13 were selected, and the genetic polymorphisms were confirmed experimentally through real-time PCR, cloning, and sequencing assay.

Results: SNP frequency in this study was consistent with the HapMap Project database of Han-Chinese and lung cancer risk was associated with CYP2A13 polymorphisms in non-smokers. CYP2A13 shares a 93.5% identity with CYP2A6 in the amino acid sequence and the homologous sequences may interfere with the study of SNPs of CYP2A13.

Conclusions: CYP2A13 may be a potential key metabolic enzyme gene in the carcinogenesis of lung cancer in non-smokers. The common polymorphisms of CYP2A13 may be candidate biomarkers for lung cancer susceptibility in Han-Chinese.

Keywords: CYP2A13; HapMap Project; genetic polymorphism; lung cancer; susceptibility.