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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2016
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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. |
format | Online Article Text |
id | pubmed-4750358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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