<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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Main Authors: Wang Hongge, Zhang Zhi, Han Sugui, Lu Yujuan, Feng Fumin, Yuan Juxiang
Format: Article
Language:English
Published: BMC 2012-11-01
Series:BMC Cancer
Subjects:
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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