p.Arg72Pro polymorphism of P53 and breast cancer risk: a meta-analysis of case-control studies
Abstract Background The effect of the p.Arg72Pro variant of the P53 gene on the risk of development ofbreast cancer remains variable in populations. However, the use ofstrategies such aspoolingage-matched controls with disease may provide a consistent meta-analysis. Our goal was to perform a meta-an...
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BMC
2020-10-01
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Online Access: | http://link.springer.com/article/10.1186/s12881-020-01133-8 |
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author | Brehima Diakite Yaya Kassogue Guimogo Dolo Jun Wang Erin Neuschler Oumar Kassogue Mamadou L Keita Cheick B Traore Bakarou Kamate Etienne Dembele Sellama Nadifi Robert L Murphy Seydou Doumbia Lifang Hou Mamoudou Maiga |
author_facet | Brehima Diakite Yaya Kassogue Guimogo Dolo Jun Wang Erin Neuschler Oumar Kassogue Mamadou L Keita Cheick B Traore Bakarou Kamate Etienne Dembele Sellama Nadifi Robert L Murphy Seydou Doumbia Lifang Hou Mamoudou Maiga |
author_sort | Brehima Diakite |
collection | DOAJ |
description | Abstract Background The effect of the p.Arg72Pro variant of the P53 gene on the risk of development ofbreast cancer remains variable in populations. However, the use ofstrategies such aspoolingage-matched controls with disease may provide a consistent meta-analysis. Our goal was to perform a meta-analysis in order to assess the association of p.Arg72Pro variant of P53 gene with the risk of breast cancer. Methods Databases such as PubMed, Genetics Medical Literature, Harvard University Library, Web of Science and Genesis Library were used to search articles. Case-control studies with age-matched on breast cancer havingevaluated the genotype frequencies of the TP53 p.Arg72Pro polymorphism were selected. The fixed and random effects (Mantel-Haenszel) were calculated using pooled odds ratio of 95% CI to determine the risk of disease. Inconsistency was calculated to determine heterogeneity among the studies. The publication bias was estimated using the funnel plot. Results Twenty-one publications with 7841 cases and 8876 controls were evaluated in this meta-analysis. Overall, our results suggested that TP53 p.Arg72Pro was associated with the risk of breast cancer for the dominant model (OR = 1.09, 95% CI = 1.02–1.16, P = 0.01) and the additive model (OR = 1.09, 95% CI = 1.01–1.17, P = 0.03), but not for the recessive model (OR = 1.07, 95% CI = 0.97–1.18, P = 0.19). According to the ethnic group analysis, Pro allele was associated with the risk of breast cancer in Caucasians for the dominant model and additive model (P = 0.02), and Africans for the recessive model and additive model (P = 0.03). Conclusions This meta-analysis found a significant association between TP53 p.Arg72Pro polymorphism and the risk of breast cancer. Individuals carrying at least one Pro allele were more likely to have breast cancer than individuals harboring the Arg allele. |
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spelling | doaj.art-76c7e656418a4668b22c9b36c41a35492022-12-21T22:46:30ZengBMCBMC Medical Genetics1471-23502020-10-0121111110.1186/s12881-020-01133-8p.Arg72Pro polymorphism of P53 and breast cancer risk: a meta-analysis of case-control studiesBrehima Diakite0Yaya Kassogue1Guimogo Dolo2Jun Wang3Erin Neuschler4Oumar Kassogue5Mamadou L Keita6Cheick B Traore7Bakarou Kamate8Etienne Dembele9Sellama Nadifi10Robert L Murphy11Seydou Doumbia12Lifang Hou13Mamoudou Maiga14Faculty of Medicine and Odontostomatology, 1805, Université des Sciences, des Techniques et des Technologies Sciences de Bamako (USTTB)Faculty of Medicine and Odontostomatology, 1805, Université des Sciences, des Techniques et des Technologies Sciences de Bamako (USTTB)Faculty of Medicine and Odontostomatology, 1805, Université des Sciences, des Techniques et des Technologies Sciences de Bamako (USTTB)Preventive Medicine Department, Cancer Epidemiology and Prevention, Northwestern UniversityDepartment of Radiology, College of Medicine, University of Illinois at ChicagoFaculty of Medicine and Odontostomatology, 1805, Université des Sciences, des Techniques et des Technologies Sciences de Bamako (USTTB)Teaching Hospital Center of Point GFaculty of Medicine and Odontostomatology, 1805, Université des Sciences, des Techniques et des Technologies Sciences de Bamako (USTTB)Faculty of Medicine and Odontostomatology, 1805, Université des Sciences, des Techniques et des Technologies Sciences de Bamako (USTTB)Preventive Medicine Department, Cancer Epidemiology and Prevention, Northwestern UniversityHassan II University Aïn chockPreventive Medicine Department, Cancer Epidemiology and Prevention, Northwestern UniversityFaculty of Medicine and Odontostomatology, 1805, Université des Sciences, des Techniques et des Technologies Sciences de Bamako (USTTB)Preventive Medicine Department, Cancer Epidemiology and Prevention, Northwestern UniversityFaculty of Medicine and Odontostomatology, 1805, Université des Sciences, des Techniques et des Technologies Sciences de Bamako (USTTB)Abstract Background The effect of the p.Arg72Pro variant of the P53 gene on the risk of development ofbreast cancer remains variable in populations. However, the use ofstrategies such aspoolingage-matched controls with disease may provide a consistent meta-analysis. Our goal was to perform a meta-analysis in order to assess the association of p.Arg72Pro variant of P53 gene with the risk of breast cancer. Methods Databases such as PubMed, Genetics Medical Literature, Harvard University Library, Web of Science and Genesis Library were used to search articles. Case-control studies with age-matched on breast cancer havingevaluated the genotype frequencies of the TP53 p.Arg72Pro polymorphism were selected. The fixed and random effects (Mantel-Haenszel) were calculated using pooled odds ratio of 95% CI to determine the risk of disease. Inconsistency was calculated to determine heterogeneity among the studies. The publication bias was estimated using the funnel plot. Results Twenty-one publications with 7841 cases and 8876 controls were evaluated in this meta-analysis. Overall, our results suggested that TP53 p.Arg72Pro was associated with the risk of breast cancer for the dominant model (OR = 1.09, 95% CI = 1.02–1.16, P = 0.01) and the additive model (OR = 1.09, 95% CI = 1.01–1.17, P = 0.03), but not for the recessive model (OR = 1.07, 95% CI = 0.97–1.18, P = 0.19). According to the ethnic group analysis, Pro allele was associated with the risk of breast cancer in Caucasians for the dominant model and additive model (P = 0.02), and Africans for the recessive model and additive model (P = 0.03). Conclusions This meta-analysis found a significant association between TP53 p.Arg72Pro polymorphism and the risk of breast cancer. Individuals carrying at least one Pro allele were more likely to have breast cancer than individuals harboring the Arg allele.http://link.springer.com/article/10.1186/s12881-020-01133-8P53 genep.Arg/pro polymorphismBreast cancerMeta-analysis |
spellingShingle | Brehima Diakite Yaya Kassogue Guimogo Dolo Jun Wang Erin Neuschler Oumar Kassogue Mamadou L Keita Cheick B Traore Bakarou Kamate Etienne Dembele Sellama Nadifi Robert L Murphy Seydou Doumbia Lifang Hou Mamoudou Maiga p.Arg72Pro polymorphism of P53 and breast cancer risk: a meta-analysis of case-control studies BMC Medical Genetics P53 gene p.Arg/pro polymorphism Breast cancer Meta-analysis |
title | p.Arg72Pro polymorphism of P53 and breast cancer risk: a meta-analysis of case-control studies |
title_full | p.Arg72Pro polymorphism of P53 and breast cancer risk: a meta-analysis of case-control studies |
title_fullStr | p.Arg72Pro polymorphism of P53 and breast cancer risk: a meta-analysis of case-control studies |
title_full_unstemmed | p.Arg72Pro polymorphism of P53 and breast cancer risk: a meta-analysis of case-control studies |
title_short | p.Arg72Pro polymorphism of P53 and breast cancer risk: a meta-analysis of case-control studies |
title_sort | p arg72pro polymorphism of p53 and breast cancer risk a meta analysis of case control studies |
topic | P53 gene p.Arg/pro polymorphism Breast cancer Meta-analysis |
url | http://link.springer.com/article/10.1186/s12881-020-01133-8 |
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