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Association of the hOGG1 Ser326Cys polymorphism with gynecologic cancer susceptibility: a meta-analysis
The association between the hOGG1 Ser326Cys polymorphism and gynecologic cancer susceptibility is inconclusive. We performed a comprehensive meta-analysis to precisely estimate of the impact of the hOGG1 Ser326Cys polymorphism on gynecologic cancer susceptibility. Electronic databases including PubM...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Portland Press Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7693197/ https://www.ncbi.nlm.nih.gov/pubmed/33210702 http://dx.doi.org/10.1042/BSR20203245 |
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author | Shi, Yongzhong Xu, Wei Zhang, Xia |
author_facet | Shi, Yongzhong Xu, Wei Zhang, Xia |
author_sort | Shi, Yongzhong |
collection | PubMed |
description | The association between the hOGG1 Ser326Cys polymorphism and gynecologic cancer susceptibility is inconclusive. We performed a comprehensive meta-analysis to precisely estimate of the impact of the hOGG1 Ser326Cys polymorphism on gynecologic cancer susceptibility. Electronic databases including PubMed, Embase, WanFang, and the China National Knowledge Infrastructure were searched for relevant studies. Odds ratios (ORs) with corresponding 95% confidence intervals (CIs) were determined to assess the strength of the association. Fourteen studies with 2712 cases and 3638 controls were included in the final meta-analysis. The pooled analysis yielded a significant association between the hOGG1 Ser326Cys polymorphism and overall gynecologic cancer susceptibility (dominant model: OR = 1.16, 95% CI = 1.03–1.30, P=0.017). A significantly higher gynecologic cancer risk was found for the European population (homozygous model: OR = 2.17, 95% CI = 1.80–2.61, P<0.001; recessive model: OR = 2.11, 95% CI = 1.41–3.17, P<0.001; dominant model: OR = 1.29, 95% CI = 1.12–1.48, P<0.001; and allele model: OR = 1.40, 95% CI = 1.13–1.74, P=0.002), but not in the Asian population. The stratified analysis by cancer type revealed endometrial cancer was significantly associated with the hOGG1 Ser326Cys polymorphism (dominant model: OR = 1.29, 95% CI = 1.09–1.54, P=0.003; and allele model: OR = 1.28, 95% CI = 1.02–1.60, P=0.031). In conclusion, the hOGG1 Ser326Cys polymorphism was associated with higher overall gynecologic cancer susceptibility, especially for endometrial cancer in the European population. |
format | Online Article Text |
id | pubmed-7693197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Portland Press Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76931972020-12-07 Association of the hOGG1 Ser326Cys polymorphism with gynecologic cancer susceptibility: a meta-analysis Shi, Yongzhong Xu, Wei Zhang, Xia Biosci Rep Cancer The association between the hOGG1 Ser326Cys polymorphism and gynecologic cancer susceptibility is inconclusive. We performed a comprehensive meta-analysis to precisely estimate of the impact of the hOGG1 Ser326Cys polymorphism on gynecologic cancer susceptibility. Electronic databases including PubMed, Embase, WanFang, and the China National Knowledge Infrastructure were searched for relevant studies. Odds ratios (ORs) with corresponding 95% confidence intervals (CIs) were determined to assess the strength of the association. Fourteen studies with 2712 cases and 3638 controls were included in the final meta-analysis. The pooled analysis yielded a significant association between the hOGG1 Ser326Cys polymorphism and overall gynecologic cancer susceptibility (dominant model: OR = 1.16, 95% CI = 1.03–1.30, P=0.017). A significantly higher gynecologic cancer risk was found for the European population (homozygous model: OR = 2.17, 95% CI = 1.80–2.61, P<0.001; recessive model: OR = 2.11, 95% CI = 1.41–3.17, P<0.001; dominant model: OR = 1.29, 95% CI = 1.12–1.48, P<0.001; and allele model: OR = 1.40, 95% CI = 1.13–1.74, P=0.002), but not in the Asian population. The stratified analysis by cancer type revealed endometrial cancer was significantly associated with the hOGG1 Ser326Cys polymorphism (dominant model: OR = 1.29, 95% CI = 1.09–1.54, P=0.003; and allele model: OR = 1.28, 95% CI = 1.02–1.60, P=0.031). In conclusion, the hOGG1 Ser326Cys polymorphism was associated with higher overall gynecologic cancer susceptibility, especially for endometrial cancer in the European population. Portland Press Ltd. 2020-11-26 /pmc/articles/PMC7693197/ /pubmed/33210702 http://dx.doi.org/10.1042/BSR20203245 Text en © 2020 The Author(s). https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the . |
spellingShingle | Cancer Shi, Yongzhong Xu, Wei Zhang, Xia Association of the hOGG1 Ser326Cys polymorphism with gynecologic cancer susceptibility: a meta-analysis |
title | Association of the hOGG1 Ser326Cys polymorphism with gynecologic cancer susceptibility: a meta-analysis |
title_full | Association of the hOGG1 Ser326Cys polymorphism with gynecologic cancer susceptibility: a meta-analysis |
title_fullStr | Association of the hOGG1 Ser326Cys polymorphism with gynecologic cancer susceptibility: a meta-analysis |
title_full_unstemmed | Association of the hOGG1 Ser326Cys polymorphism with gynecologic cancer susceptibility: a meta-analysis |
title_short | Association of the hOGG1 Ser326Cys polymorphism with gynecologic cancer susceptibility: a meta-analysis |
title_sort | association of the hogg1 ser326cys polymorphism with gynecologic cancer susceptibility: a meta-analysis |
topic | Cancer |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7693197/ https://www.ncbi.nlm.nih.gov/pubmed/33210702 http://dx.doi.org/10.1042/BSR20203245 |
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