OBJECTIVE: The glutathione S-transferases (GSTs) are a superfamily of proteins that participates in detoxification. The GSTs were dividing into several classes including omega (GSTO), micro (GSTM) and theta (GSTT) classes. In human GSTO2, GSTM1, and GSTT1 are polymorphic. In order to study whether GSTO2, GSTM1, and GSTT1 polymorphisms are associated with increased gastric cancer risk in Iranian patients, the present case-control study was done. METHODS: Genomic DNA was extracted from peripheral blood of 67 gastric cancer patients and 134 control subjects. The genotyping was performed using PCR-based method. The possible association of gastric cancer with the GSTO2 N142D polymorphism was estimated with assuming additive, dominant, and recessive effect of the variant 142D allele. To investigate whether profiles of GST genotypes are associated with the risk of gastric cancer, we used unconditional logistic regression analysis. RESULTS: The GSTO2 142D allele in additive, dominant and recessive models was not associated with the risk. Because GSTM1, GSTT1, and GSTO2 genes belong to low-penetrance genes which might be involved in the carcinogenesis, patients and controls without family of cancer in first-degree relatives were also analyzes separately. To investigate whether profiles of GST genotypes are associated with the risk of gastric cancer, we used unconditional logistic regression analysis with GSTM1, GSTT1, and GSTO2 genotypes as predictor factors. The GSTO2 DD genotype was associated with decreased risk as compared to GSTO2 NN genotype (OR = 0.21, 95% CI: 0.05-0.92, P = 0.038). CONCLUSIONS: Present findings show that GSTO2 DD genotype decreases the risk of gastric cancer in individuals without history of cancer in their first-degree relatives.
OBJECTIVE: The glutathione S-transferases (GSTs) are a superfamily of proteins that participates in detoxification. The GSTs were dividing into several classes including omega (GSTO), micro (GSTM) and theta (GSTT) classes. In humanGSTO2, GSTM1, and GSTT1 are polymorphic. In order to study whether GSTO2, GSTM1, and GSTT1 polymorphisms are associated with increased gastric cancer risk in Iranian patients, the present case-control study was done. METHODS: Genomic DNA was extracted from peripheral blood of 67 gastric cancerpatients and 134 control subjects. The genotyping was performed using PCR-based method. The possible association of gastric cancer with the GSTO2N142D polymorphism was estimated with assuming additive, dominant, and recessive effect of the variant 142D allele. To investigate whether profiles of GST genotypes are associated with the risk of gastric cancer, we used unconditional logistic regression analysis. RESULTS: The GSTO2 142D allele in additive, dominant and recessive models was not associated with the risk. Because GSTM1, GSTT1, and GSTO2 genes belong to low-penetrance genes which might be involved in the carcinogenesis, patients and controls without family of cancer in first-degree relatives were also analyzes separately. To investigate whether profiles of GST genotypes are associated with the risk of gastric cancer, we used unconditional logistic regression analysis with GSTM1, GSTT1, and GSTO2 genotypes as predictor factors. The GSTO2 DD genotype was associated with decreased risk as compared to GSTO2 NN genotype (OR = 0.21, 95% CI: 0.05-0.92, P = 0.038). CONCLUSIONS: Present findings show that GSTO2 DD genotype decreases the risk of gastric cancer in individuals without history of cancer in their first-degree relatives.
Authors: Baidehi Mukherjee; Oreste E Salavaggione; Linda L Pelleymounter; Irene Moon; Bruce W Eckloff; Daniel J Schaid; Eric D Wieben; Richard M Weinshilboum Journal: Drug Metab Dispos Date: 2006-04-25 Impact factor: 3.922
Authors: Elaine Cristina Morari; Andre Bacellar Costa Lima; Natassia Elena Bufalo; Janaina Luisa Leite; Fabiana Granja; Laura Sterian Ward Journal: J Cancer Res Clin Oncol Date: 2006-05-19 Impact factor: 4.553
Authors: P G Board; M Coggan; G Chelvanayagam; S Easteal; L S Jermiin; G K Schulte; D E Danley; L R Hoth; M C Griffor; A V Kamath; M H Rosner; B A Chrunyk; D E Perregaux; C A Gabel; K F Geoghegan; J Pandit Journal: J Biol Chem Date: 2000-08-11 Impact factor: 5.157
Authors: Liu Wang; Jian Xu; Chaoneng Ji; Shaohua Gu; You Lv; Shi Li; Yiren Xu; Yi Xie; Yumin Mao Journal: Int J Mol Med Date: 2005-07 Impact factor: 4.101
Authors: Sarah J Crane; G Richard Locke; William S Harmsen; Nancy N Diehl; Alan R Zinsmeister; L Joseph Melton; Yvonne Romero; Nicholas J Talley Journal: Am J Gastroenterol Date: 2007-04-24 Impact factor: 10.864
Authors: Janaína L Leite; Elaine C Morari; Fabiana Granja; Gabriela M Campos; Ana C T Guilhen; Laura S Ward Journal: Rev Med Chil Date: 2007-04-26 Impact factor: 0.553