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Lack of association between polymorphisms in the CYP1A2 gene and risk of cancer: evidence from meta-analyses

BACKGROUND: Polymorphisms in the CYP1A2 genes have the potential to affect the individual capacity to convert pre-carcinogens into carcinogens. With these comprehensive meta-analyses, we aimed to provide a quantitative assessment of the association between the published genetic association studies o...

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Autores principales: Vukovic, Vladimir, Ianuale, Carolina, Leoncini, Emanuele, Pastorino, Roberta, Gualano, Maria Rosaria, Amore, Rosarita, Boccia, Stefania
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750358/
https://www.ncbi.nlm.nih.gov/pubmed/26865042
http://dx.doi.org/10.1186/s12885-016-2096-5
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author Vukovic, Vladimir
Ianuale, Carolina
Leoncini, Emanuele
Pastorino, Roberta
Gualano, Maria Rosaria
Amore, Rosarita
Boccia, Stefania
author_facet Vukovic, Vladimir
Ianuale, Carolina
Leoncini, Emanuele
Pastorino, Roberta
Gualano, Maria Rosaria
Amore, Rosarita
Boccia, Stefania
author_sort Vukovic, Vladimir
collection PubMed
description BACKGROUND: Polymorphisms in the CYP1A2 genes have the potential to affect the individual capacity to convert pre-carcinogens into carcinogens. With these comprehensive meta-analyses, we aimed to provide a quantitative assessment of the association between the published genetic association studies on CYP1A2 single nucleotide polymorphisms (SNPs) and the risk of cancer. METHODS: We searched MEDLINE, ISI Web of Science and SCOPUS bibliographic online databases and databases of genome-wide association studies (GWAS). After data extraction, we calculated Odds Ratios (ORs) and 95 % confidence intervals (CIs) for the association between the retrieved CYP1A2 SNPs and cancer. Random effect model was used to calculate the pooled ORs. Begg and Egger tests, one-way sensitivity analysis were performed, when appropriate. We conducted stratified analyses by study design, sample size, ethnicity and tumour site. RESULTS: Seventy case-control studies and one GWA study detailing on six different SNPs were included. Among the 71 included studies, 42 were population-based case-control studies, 28 hospital-based case-control studies and one genome-wide association study, including total of 47,413 cancer cases and 58,546 controls. The meta-analysis of 62 studies on rs762551, reported an OR of 1.03 (95 % CI, 0.96–1.12) for overall cancer (P for heterogeneity < 0.01; I(2) = 50.4 %). When stratifying for tumour site, an OR of 0.84 (95 % CI, 0.70–1.01; P for heterogeneity = 0.23, I(2) = 28.5 %) was reported for bladder cancer for those homozygous mutant of rs762551. An OR of 0.79 (95 % CI, 0.65–0.95; P for heterogeneity = 0.09, I(2) = 58.1 %) was obtained for the bladder cancer from the hospital-based studies and on Caucasians. CONCLUSIONS: This large meta-analysis suggests no significant effect of the investigated CYP1A2 SNPs on cancer overall risk under various genetic models. However, when stratifying according to the tumour site, our results showed a borderline not significant OR of 0.84 (95 % CI, 0.70–1.01) for bladder cancer for those homozygous mutant of rs762551. Due to the limitations of our meta-analyses, the results should be interpreted with attention and need to be further confirmed by high-quality studies, for all the potential CYP1A2 SNPs.
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spelling pubmed-47503582016-02-12 Lack of association between polymorphisms in the CYP1A2 gene and risk of cancer: evidence from meta-analyses Vukovic, Vladimir Ianuale, Carolina Leoncini, Emanuele Pastorino, Roberta Gualano, Maria Rosaria Amore, Rosarita Boccia, Stefania BMC Cancer Research Article BACKGROUND: Polymorphisms in the CYP1A2 genes have the potential to affect the individual capacity to convert pre-carcinogens into carcinogens. With these comprehensive meta-analyses, we aimed to provide a quantitative assessment of the association between the published genetic association studies on CYP1A2 single nucleotide polymorphisms (SNPs) and the risk of cancer. METHODS: We searched MEDLINE, ISI Web of Science and SCOPUS bibliographic online databases and databases of genome-wide association studies (GWAS). After data extraction, we calculated Odds Ratios (ORs) and 95 % confidence intervals (CIs) for the association between the retrieved CYP1A2 SNPs and cancer. Random effect model was used to calculate the pooled ORs. Begg and Egger tests, one-way sensitivity analysis were performed, when appropriate. We conducted stratified analyses by study design, sample size, ethnicity and tumour site. RESULTS: Seventy case-control studies and one GWA study detailing on six different SNPs were included. Among the 71 included studies, 42 were population-based case-control studies, 28 hospital-based case-control studies and one genome-wide association study, including total of 47,413 cancer cases and 58,546 controls. The meta-analysis of 62 studies on rs762551, reported an OR of 1.03 (95 % CI, 0.96–1.12) for overall cancer (P for heterogeneity < 0.01; I(2) = 50.4 %). When stratifying for tumour site, an OR of 0.84 (95 % CI, 0.70–1.01; P for heterogeneity = 0.23, I(2) = 28.5 %) was reported for bladder cancer for those homozygous mutant of rs762551. An OR of 0.79 (95 % CI, 0.65–0.95; P for heterogeneity = 0.09, I(2) = 58.1 %) was obtained for the bladder cancer from the hospital-based studies and on Caucasians. CONCLUSIONS: This large meta-analysis suggests no significant effect of the investigated CYP1A2 SNPs on cancer overall risk under various genetic models. However, when stratifying according to the tumour site, our results showed a borderline not significant OR of 0.84 (95 % CI, 0.70–1.01) for bladder cancer for those homozygous mutant of rs762551. Due to the limitations of our meta-analyses, the results should be interpreted with attention and need to be further confirmed by high-quality studies, for all the potential CYP1A2 SNPs. BioMed Central 2016-02-10 /pmc/articles/PMC4750358/ /pubmed/26865042 http://dx.doi.org/10.1186/s12885-016-2096-5 Text en © Vukovic et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Vukovic, Vladimir
Ianuale, Carolina
Leoncini, Emanuele
Pastorino, Roberta
Gualano, Maria Rosaria
Amore, Rosarita
Boccia, Stefania
Lack of association between polymorphisms in the CYP1A2 gene and risk of cancer: evidence from meta-analyses
title Lack of association between polymorphisms in the CYP1A2 gene and risk of cancer: evidence from meta-analyses
title_full Lack of association between polymorphisms in the CYP1A2 gene and risk of cancer: evidence from meta-analyses
title_fullStr Lack of association between polymorphisms in the CYP1A2 gene and risk of cancer: evidence from meta-analyses
title_full_unstemmed Lack of association between polymorphisms in the CYP1A2 gene and risk of cancer: evidence from meta-analyses
title_short Lack of association between polymorphisms in the CYP1A2 gene and risk of cancer: evidence from meta-analyses
title_sort lack of association between polymorphisms in the cyp1a2 gene and risk of cancer: evidence from meta-analyses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750358/
https://www.ncbi.nlm.nih.gov/pubmed/26865042
http://dx.doi.org/10.1186/s12885-016-2096-5
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