Research Article
Polymorphisms of Cytochrome P450 2E1 Gene and Gastric Cancer Risk: A Case Control Study from West Bengal, India
Sudakshina G1, Soumee G1, Bankura B1, Sahab ML2, Chinmoy KP3, Chakraborty S1 and Das M1*1Department of Zoology, University of Calcutta, Kolkata, India
2Department of Surgery, Institute of Post Graduate Medical Education and Research, Kolkata, India
3Department of Oncogene Regulation and Viral Associated Human Cancer, Chittaranjan National Cancer Institute, Kolkata, India
- Corresponding Author:
- Das M, Department of Zoology
University of Calcutta
35 Ballygunge Circular Road
Kolkata-700019, West Bengal, India
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E-mail: [email protected]
Received date: April 3, 2017; Accepted date: May 5, 2017; Published date: May 13, 2017
Citation: Ghosh S, Ghosh S, Bankura B, Sahab ML, Chinmoy KP, et al. (2017) Polymorphisms of Cytochrome P450 2E1 Gene and Gastric Cancer Risk: A Case Control Study from West Bengal, India. J Clin Med Genomics 5:148. doi:10.4172/2472-128X.1000148
Copyright: © 2017 Sudakshina G, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Background: RsaI/PstI and DraI polymorphisms of cytochrome P450 2E1 (CYP2E1) gene are regarded as the most common polymorphisms associated with gastric cancer (GC). Very few data of these polymorphisms have been reported from India with regard to GC risk. We evaluated RsaI: -C1053T (rs2031920), PstI: -G1295C (rs3813867) site in the 5’ flanking region, DraI: T7668A (rs6413432) site in intron 6, -G71T rs6413420 and G4768A or V179I rs6413419 polymorphisms of CYP2E1 with GC risk in the population of West Bengal, India.
Methods: We enrolled 105 GC patients (cases) and corresponding sex, age and ethnicity matched normal 108 individuals (controls) for the study. Genotyping for rs6413419, rs6413420, rs6413432, rs2031920, rs3813867 of CYP2E1 was performed using DNA sequencing and RFLP analysis.
Results and conclusion: Our results suggest that the difference between genotype frequencies of rs3813867 and rs2031920, although not statistically significant but the allele frequencies of rs3813867 (OR=2.29, 95% CI=1.01-5.18, p=0.042) and rs2031920 (OR=2.29, 95% CI=1.01-5.18, p=0.042) showed significant difference between GC and control individuals. This when pooled with smoking augmented GC risk by nearly 4-fold. Therefore, a larger population is needed to be screened to confirm the association of these studied SNPs with GC in India.
