Literature DB >> 22707145

Meta-analysis of the association of CYP1A1 polymorphisms with gastric cancer susceptibility and interaction with tobacco smoking.

Fujun Han1, Xinsheng Wang, Xuhui Wang, Yongfeng Luo, Wei Li.   

Abstract

The association of two cytochrome P4501A1 (CYP1A1) polymorphisms, m1 (T6235C transition) and m2 (A4889G transition), with gastric cancer risk is inconclusive. We conducted a meta-analysis of all available studies to evaluate the potential role of the polymorphisms and their interactions with tobacco smoking in gastric cancer susceptibility. Published literature from PubMed was retrieved by two investigators independently. Fourteen case-control studies with 2,032 gastric cancer cases and 5,099 controls were selected. A fixed effects model or a random-effects model was used to estimate the odds ratio (OR) for the CYP1A1 polymorphisms and the occurrence of gastric cancer. Significant associations between CYP1A1 m1 and m2 polymorphisms and gastric cancer susceptibility were not observed in all genetic models in the overall analyses. Subgroup analyses by ethnicity and source of controls did not reveal significant associations with gastric cancer risk. Stratification analysis by smoking status found that carriers of the heterozygous and homozygous m1 genotypes decreased the susceptibility of gastric cancer among ever-smokers (pooled OR = 0.56, 95 % CI 0.36-0.89, fixed effects). In contrast, the m2 genotypes (G/G and A/G) did not show any relevance to gastric cancer risk among the smoking population (pooled OR = 1.30, 95 % CI 0.84-2.00, fixed effects). Overall, we found that the CYP1A1 polymorphism itself, either m1 or m2, did not represent an independent genetic risk factor influencing gastric cancer. However, subgroup analyses suggest that carriers of the heterozygous and homozygous m1 genotype who are exposed to tobacco smoke have a significantly lower risk of developing gastric cancer. To explain the observed reduction of gastric cancer risk, we proposed a novel hypothesis of "observation bias". This hypothesis is also applicable to explain the combined effects of other genetic polymorphisms and environmental factors on the risk of developing cancers, and the rationality of the hypothesis needs to be further investigated.

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Year:  2012        PMID: 22707145     DOI: 10.1007/s11033-012-1683-z

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  56 in total

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2.  Genetic polymorphisms of metabolic enzymes-CYP1A1, CYP2D6, GSTM1, and GSTT1, and gastric carcinoma susceptibility.

Authors:  Ya-Ping Luo; Han-Chun Chen; Md Asaduzzaman Khan; Fang-Zhi Chen; Xin-Xing Wan; Bo Tan; Fang-Dan Ou-Yang; Dian-Zheng Zhang
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3.  [Allelic variants of cytochrome P4501A1 (CYP1A1), glutathione S transferase M1 (GSTM1) polymorphisms and their association with smoking and alcohol consumption as gastric cancer susceptibility biomarkers].

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Review 7.  Smoking and lung cancer.

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2006-12       Impact factor: 4.254

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  9 in total

Review 1.  The effect of CYP1A1 and CYP1A2 polymorphisms on gastric cancer risk among different ethnicities: a systematic review and meta-analysis.

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4.  Polymorphisms in human telomerase reverse transcriptase (hTERT) gene, gene- gene and gene-smoking interaction with susceptibility to gastric cancer in Chinese Han population.

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5.  Non-random distribution of gastric cancer susceptible loci on human chromosomes.

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7.  Development and validation of a prediction rule for estimating gastric cancer risk in the Chinese high-risk population: a nationwide multicentre study.

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Journal:  Gut       Date:  2019-03-29       Impact factor: 23.059

8.  XAB2 TagSNP Is Associated with the Risk of Gastric Cancer in Chinese Population: A Case-Control Study.

Authors:  Yuning Xie; Yuan Yu; Hongjiao Wu; Hui Gao; Zhenbang Yang; Yi Zhang; Xuemei Zhang
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9.  The rs9953490 polymorphism of DAL-1 gene is associated with gastric cancer risk in the Han population in Northeast China.

Authors:  Hui Wang; Yuling Jiang; Lina Yu; Lidan Xu; Rongwei Guan; Mengdi Cai; Kexian Dong; Xiao Liang; Jing Bai; Jingcui Yu
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  9 in total

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