<it>CYP1A2</it> rs762551 polymorphism contributes to cancer susceptibility: a meta-analysis from 19 case-control studies
<p>Abstract</p> <p>Background</p> <p>Genetic polymorphism (rs762551A>C) in gene encoding cytochrome P450 1A2 (<it>CYP1A2</it>) has been shown to influence the inducibility of <it>CYP1A2</it> expression and thus might be associated with risk of...
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BMC
2012-11-01
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Series: | BMC Cancer |
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Online Access: | http://www.biomedcentral.com/1471-2407/12/528 |
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author | Wang Hongge Zhang Zhi Han Sugui Lu Yujuan Feng Fumin Yuan Juxiang |
author_facet | Wang Hongge Zhang Zhi Han Sugui Lu Yujuan Feng Fumin Yuan Juxiang |
author_sort | Wang Hongge |
collection | DOAJ |
description | <p>Abstract</p> <p>Background</p> <p>Genetic polymorphism (rs762551A>C) in gene encoding cytochrome P450 1A2 (<it>CYP1A2</it>) has been shown to influence the inducibility of <it>CYP1A2</it> expression and thus might be associated with risk of several types of human cancer. However, the results of previous studies on the associations of this polymorphism with risk of cancer are not all consistent. To clarify the potential contribution of <it>CYP1A2</it> rs762551 to cancer risk, we performed a meta-analysis of the published case–control studies.</p> <p>Methods</p> <p>We used PubMed, Embase, OVID, ScienceDirect, and Chinese National Knowledge Infrastructure databases to identify the related publications for this meta-analysis. The pooled odds ratio (OR) and 95% confidence interval (CI) were calculated using random effect model to evaluate the association of rs762551 with cancer risk. A <it>χ</it><sup>2</sup>-based Q-test was used to examine the heterogeneity assumption and the funnel plot and Egger’s test were used to examine the potential publication bias. The leave-one-out sensitivity analysis was conducted to determine whether our assumptions or decisions have a major effect on the results of the review.</p> <p>Results</p> <p>Our analysis of 19 eligible case–control studies showed a significant association between rs762551C variant with risk of cancer in the genetic model of CC versus AA (OR = 1.30, 95% CI = 1.02-1.64) and the dominant model (OR = 1.19, 95% CI = 1.04-1.36). In subgroup analysis based on ethnicity, the rs762551CC genotype was associated with increased cancer risk (OR = 1.29, 95% CI = 1.27-1.63 in co-dominate model and OR = 1.17, 95% CI = 1.02-1.34 in dominant model in Caucasians, but not in Asians and the mixed population.</p> <p>Conclusion</p> <p>These results suggested that <it>CYP1A2</it> rs762551 polymorphism is likely to be associated with susceptibility to cancer in Caucasians.</p> |
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spelling | doaj.art-1c5d0908ef5a42eb8a31f37e8e5c4b2a2022-12-21T19:13:48ZengBMCBMC Cancer1471-24072012-11-0112152810.1186/1471-2407-12-528<it>CYP1A2</it> rs762551 polymorphism contributes to cancer susceptibility: a meta-analysis from 19 case-control studiesWang HonggeZhang ZhiHan SuguiLu YujuanFeng FuminYuan Juxiang<p>Abstract</p> <p>Background</p> <p>Genetic polymorphism (rs762551A>C) in gene encoding cytochrome P450 1A2 (<it>CYP1A2</it>) has been shown to influence the inducibility of <it>CYP1A2</it> expression and thus might be associated with risk of several types of human cancer. However, the results of previous studies on the associations of this polymorphism with risk of cancer are not all consistent. To clarify the potential contribution of <it>CYP1A2</it> rs762551 to cancer risk, we performed a meta-analysis of the published case–control studies.</p> <p>Methods</p> <p>We used PubMed, Embase, OVID, ScienceDirect, and Chinese National Knowledge Infrastructure databases to identify the related publications for this meta-analysis. The pooled odds ratio (OR) and 95% confidence interval (CI) were calculated using random effect model to evaluate the association of rs762551 with cancer risk. A <it>χ</it><sup>2</sup>-based Q-test was used to examine the heterogeneity assumption and the funnel plot and Egger’s test were used to examine the potential publication bias. The leave-one-out sensitivity analysis was conducted to determine whether our assumptions or decisions have a major effect on the results of the review.</p> <p>Results</p> <p>Our analysis of 19 eligible case–control studies showed a significant association between rs762551C variant with risk of cancer in the genetic model of CC versus AA (OR = 1.30, 95% CI = 1.02-1.64) and the dominant model (OR = 1.19, 95% CI = 1.04-1.36). In subgroup analysis based on ethnicity, the rs762551CC genotype was associated with increased cancer risk (OR = 1.29, 95% CI = 1.27-1.63 in co-dominate model and OR = 1.17, 95% CI = 1.02-1.34 in dominant model in Caucasians, but not in Asians and the mixed population.</p> <p>Conclusion</p> <p>These results suggested that <it>CYP1A2</it> rs762551 polymorphism is likely to be associated with susceptibility to cancer in Caucasians.</p>http://www.biomedcentral.com/1471-2407/12/528<it>CYP1A2</it>CancerMeta-analysisPolymorphism |
spellingShingle | Wang Hongge Zhang Zhi Han Sugui Lu Yujuan Feng Fumin Yuan Juxiang <it>CYP1A2</it> rs762551 polymorphism contributes to cancer susceptibility: a meta-analysis from 19 case-control studies BMC Cancer <it>CYP1A2</it> Cancer Meta-analysis Polymorphism |
title | <it>CYP1A2</it> rs762551 polymorphism contributes to cancer susceptibility: a meta-analysis from 19 case-control studies |
title_full | <it>CYP1A2</it> rs762551 polymorphism contributes to cancer susceptibility: a meta-analysis from 19 case-control studies |
title_fullStr | <it>CYP1A2</it> rs762551 polymorphism contributes to cancer susceptibility: a meta-analysis from 19 case-control studies |
title_full_unstemmed | <it>CYP1A2</it> rs762551 polymorphism contributes to cancer susceptibility: a meta-analysis from 19 case-control studies |
title_short | <it>CYP1A2</it> rs762551 polymorphism contributes to cancer susceptibility: a meta-analysis from 19 case-control studies |
title_sort | it cyp1a2 it rs762551 polymorphism contributes to cancer susceptibility a meta analysis from 19 case control studies |
topic | <it>CYP1A2</it> Cancer Meta-analysis Polymorphism |
url | http://www.biomedcentral.com/1471-2407/12/528 |
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