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Meta-Analysis
. 2018 Jun 21;38(3):BSR20180440.
doi: 10.1042/BSR20180440. Print 2018 Jun 29.

ERCC1 rs11615 polymorphism increases susceptibility to breast cancer: a meta-analysis of 4547 individuals

Bingjie Li  1 , Xiaoqing Shi  1 , Yingying Yuan  1 , Mengle Peng  2 , Huifang Jin  3 , Dongchun Qin  4
Affiliations
Meta-Analysis

ERCC1 rs11615 polymorphism increases susceptibility to breast cancer: a meta-analysis of 4547 individuals

Bingjie Li et al. Biosci Rep. .

Abstract

Excision repair cross-complementation group 1 (ERCC1), a DNA repair protein, is vital for maintaining genomic fidelity and integrity. Despite the fact that a mounting body of case-control studies has concentrated on investigating the association of the ERCC1 rs11615 polymorphism and breast cancer risk, there is still no consensus on it. We conducted the current meta-analysis of all eligible articles to reach a much more explicit conclusion on this ambiguous association. A total of seven studies involving 2354 breast cancer cases and 2193 controls were elaborately selected for this analysis from the Embase, EBSCO, PubMed, WanFang, and China National Knowledge Infrastructure (CNKI) databases. Pooled odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated in our meta-analysis. We found that the ERCC1 rs11615 polymorphism was significantly associated with breast cancer risk under all genetic models. When excluded, the studies that deviated from Hardy-Weinberg equilibrium (HWE), the pooled results of what remained significantly increase the risk of breast cancer under the allele model (OR = 1.14, 95% CI = 1.02-1.27, P=0.02), heterozygote model (OR = 1.24, 95% CI = 1.06-1.44, P=0.007), and dominant model (OR = 1.21, 95% CI = 1.05-1.41, P=0.01). This increased breast cancer risk was found in Asian population as well as under the heterozygote model (OR = 1.24, 95% CI = 1.05-1.48, P=0.013) and dominant model (OR = 1.20, 95% CI = 1.02-1.42, P=0.03). Our results suggest that the ERCC1 rs11615 polymorphism is associated with breast cancer susceptibility, and in particular, this increased risk of breast cancer existence in Asian population.

Keywords: Breast cancer; ERCC1; Meta-analysis; Polymorphism; Susceptibility.

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Conflict of interest statement

The authors declare that there are no competing interests associated with the manuscript.

Figures

Figure 1
Figure 1. Flow diagram of article selection for our meta-analysis
Figure 2
Figure 2. Forest plots of breast cancer risk associated with ERCC1 rs11615
The plots were grouped into (A) and (B) for comparison. (A) All studies: (a) allele model (T compared with C); (b) heterozygous model (TC compared with CC); (c) dominant model (TC + TT compared with CC). (B) After excluding the studies that deviated from HWE: (a) allele model (T compared with C); (b) heterozygous model (TC compared with CC); (c) dominant model (TC + TT compared with CC).
Figure 3
Figure 3. Forest plots of breast cancer risk associated with ERCC1 rs11615 in Asian populations
The plots were grouped into (A) and (B) for comparison. (A) All studies: (a) allele model (T compared with C); (b) heterozygous model (TC compared with CC); (c) dominant model (TC + TT compared with CC). (B) After excluding the studies that deviated from HWE: (a) allele model (T compared with C); (b) heterozygous model (TC compared with CC); (c) dominant model (TC + TT compared with CC).
Figure 4
Figure 4. Sensitivity analysis of the ERCC1 rs11615 polymorphism and breast cancer risk (dominant model: TC + TT compared with CC)
Figure 5
Figure 5. Funnel plot for evaluating publication bias in the seven studies (dominant model: TC + TT compared with CC)
See this image and copyright information in PMC

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