Literature DB >> 21424776

Lack of association between XPG Asp1104His and XPF Arg415Gln polymorphism and breast cancer risk: a meta-analysis of case-control studies.

Da-Peng Ding1, Xiao-Feng He, Ying Zhang.   

Abstract

The xeroderma pigmentosum group G (XPG or ERCC5) and group F (XPF or ERCC4) play an important role in DNA repair, and produce dual incision 3' and 5' to the damaged nucleotide fragment. Several polymorphisms in the XPF and XPG gene have been described, including the commonly occurring Asp1104His in XPG and Arg415Gln in XPF. The published data on the association between these polymorphisms and breast cancer remained controversial. This meta-analysis of literatures was performed to derive a more precise estimation of the relationship. A total of 17 studies were identified to the meta-analysis, including 5,235 cases and 5,685 controls for XPG Asp1104His (from ten studies) and 3,910 cases and 3,985 controls for XPF Arg415Gln (from seven studies). Overall, no significantly elevated breast cancer risk was found in all genetic models when all studies were pooled into the meta-analysis (for XPG Asp1104His Asp/His vs. Asp/Asp: OR 1.02, 95% CI 0.94-1.11; His/His vs. Asp/Asp: OR 0.96, 95% CI 0.83-1.11; dominant model: OR 1.01, 95% CI 0.94-1.09; and for XPF Arg415Gln Arg/Gln vs. Arg/Arg: OR 1.00, 95% CI 0.89-1.12; Gln/Gln vs. Arg/Arg: OR 2.40, 95% CI 0.62-9.22; dominant model: OR 1.03, 95% CI 0.90-1.18). In stratified analyses, we observed an overall OR of 5.20 (95% CI 2.08-12.95) for breast cancer developing risk in the Caucasian ethnicity, comparing Gln/Gln type to wild-type Arg/Arg for Arg415Gln polymorphism. In conclusion, this meta-analysis suggests that XPG Asp1104His polymorphism is not associated with increased breast cancer risk, and XPF Arg415Gln may be a low-penetrant risk factor in the Caucasian ethnicity for developing breast cancer.

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Year:  2011        PMID: 21424776     DOI: 10.1007/s10549-011-1447-9

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  11 in total

Review 1.  Quantitative assessment of the association between XPG Asp1104His polymorphism and bladder cancer risk.

Authors:  Chuan Liu; Qinghua Yin; Jianbing Hu; Jie Weng; Yajie Wang
Journal:  Tumour Biol       Date:  2013-09-06

2.  Association between ERCC5 gene polymorphisms and breast cancer risk.

Authors:  Nari Na; Eer Dun; Lidong Ren; Guoxin Li
Journal:  Int J Clin Exp Pathol       Date:  2015-03-01

3.  Predictive impact of genetic polymorphisms in DNA repair genes on susceptibility and therapeutic outcomes to colorectal cancer patients.

Authors:  Kang Sun; Aixia Gong; Pin Liang
Journal:  Tumour Biol       Date:  2014-10-30

4.  Polymorphisms in the ERCC1 and XPF genes and risk of breast cancer in a Chinese population.

Authors:  Zecheng Yang; Xuedong Fang; Xinhong Pei; Huixiang Li
Journal:  Genet Test Mol Biomarkers       Date:  2013-08-02

Review 5.  Association between XPF polymorphisms and cancer risk: a meta-analysis.

Authors:  Ting-Yan Shi; Jing He; Li-Xin Qiu; Mei-Ling Zhu; Meng-Yun Wang; Xiao-Yan Zhou; Jiali Han; Hongpin Yu; Rong-Yu Zang; Qingyi Wei
Journal:  PLoS One       Date:  2012-07-02       Impact factor: 3.240

6.  Association between the ERCC5 Asp1104His polymorphism and cancer risk: a meta-analysis.

Authors:  Mei-Ling Zhu; Mengyun Wang; Zhi-Gang Cao; Jing He; Ting-Yan Shi; Kai-Qin Xia; Li-Xin Qiu; Qing-Yi Wei
Journal:  PLoS One       Date:  2012-07-18       Impact factor: 3.240

Review 7.  Ethnic background and genetic variation in the evaluation of cancer risk: a systematic review.

Authors:  Lijun Jing; Li Su; Brian Z Ring
Journal:  PLoS One       Date:  2014-06-05       Impact factor: 3.240

8.  XPG gene polymorphisms and cancer susceptibility: evidence from 47 studies.

Authors:  Jiawen Huang; Xiaoqi Liu; Ling-Ling Tang; Jian-Ting Long; Jinhong Zhu; Rui-Xi Hua; Jufeng Li
Journal:  Oncotarget       Date:  2017-06-06

9.  Polymorphisms in ERCC2 and ERCC5 and Risk of Prostate Cancer: A Meta-Analysis and Systematic Review.

Authors:  Yi Liu; Yonghui Hu; Meng Zhang; Runze Jiang; Chaozhao Liang
Journal:  J Cancer       Date:  2018-07-16       Impact factor: 4.207

10.  Mutation analysis of the ERCC4/FANCQ gene in hereditary breast cancer.

Authors:  Sandra Kohlhase; Natalia V Bogdanova; Peter Schürmann; Marina Bermisheva; Elza Khusnutdinova; Natalia Antonenkova; Tjoung-Won Park-Simon; Peter Hillemanns; Andreas Meyer; Hans Christiansen; Detlev Schindler; Thilo Dörk
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

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