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Published on: June 21, 2018
Association between ERCC5 gene rs17655 polymorphism and the risk of breast cancer: an updated meta-analysis
Wen-Shu Luo1, Anqi Shi2, Zheng Wang3
1Department of Chronic- Non- communicable Disease Prevention and Control, Changzhou Center for Disease Control and Prevention, Changzhou Advanced Institute of Public Health, Nanjing Medical University.
Background:
Previously, several studies have focused on the correlation between SNPs of the excision repair cross-complementation group 5 (ERCC5) gene and breast cancer susceptibility, and the rs17655 (Asp1104His) has been mostly studied among many SNPs of ERCC5 gene. However, contradictory results also existed among these published articles. So, we performed this meta-analysis to evaluate the relationship between the rs17655 of ERCC5 gene and the susceptibility to breast cancer.
Methods:
All analyses in this meta-analysis were performed using Stata 15.0 version software. The heterogeneity test was performed using the chi-square-based Q-test and the I-square test. Sensitivity analysis was performed to estimate the influence of the combined ORs caused by individual data. Begg's funnel plot method was used for the publication bias testing.
Results:
We found a significant relationship between the rs17655 of ERCC5 gene and the breast cancer risk for the dominant model, OR (95% CI) = 1.24 (1.01-1.52), p = 0.036. But we found no significant association between the rs17655 and breast cancer risk for the recessive model (OR = 1.03, 95% CI = 0.80-1.32, p = 0.825) and the allele model (OR = 1.16, 95% CI = 0.98-1.38, p = 0.083). No statistically significant association were found between the ERCC5 gene rs17655 and the risk of breast cancer for the dominant model observed in Caucasian populations (pooled OR = 1.03, 95%CI = 0.91-1.18), in African populations (pooled OR = 1.55, 95%CI = 0.77-3.12) and in Asian population (pooled OR = 1.76, 95%CI = 0.755-4.12). No publication bias was observed for three genetic models (P = 0.061 for the dominant model, P = 0.825 for the recessive model, P = 0.118 for the allele model).
Conclusions:
Carriers with rs17655 minor allele have higher susceptibility to breast cancer for the dominant model. But no significant relationship was observed between rs17655 and breast cancer susceptibility in Caucasian, African, and Asia populations.
