Evidence map›Paper›PMID 42386575›Full record

SynthesisEnvironmental health and preventive medicine2026

Association between ERCC5 gene rs17655 polymorphism and the risk of breast cancer: an updated meta-analysis.

Wen-Shu Luo, Anqi Shi, Zheng Wang, Shu-Zhen Zheng, Junhong Li

Abstract readMeta-Analysis
In one paragraph

Synthesis in Environmental health and preventive medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wen-Shu LuoDepartment of Chronic- Non- communicable Disease Prevention and Control, Changzhou Center for Disease Control and Prevention, Changzhou Advanced Institute of Public Health, Nanjing Medical University.
Anqi ShiKangda College of Nanjing Medical University.
Zheng WangDepartment of Organization and Human Resources, Changzhou Center for Disease Control and Prevention, Changzhou Advanced Institute of Public Health, Nanjing Medical University.
Shu-Zhen ZhengDepartment of Chronic Non communicable Disease Prevention and Control, Xinbei District Center for Disease Control and Prevention.
Junhong LiDepartment of Physical and Chemical Laboratory, Changzhou Center for Disease Control and Prevention.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreviously, 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.

methodsAll 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.

resultsWe 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).

conclusionsCarriers 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.

Indexed as

Breast NeoplasmsDNA-Binding ProteinsEndonucleasesGenetic Predisposition to DiseaseNuclear ProteinsPolymorphism, Single NucleotideTranscription FactorsDNA Excision Repair Protein ERCC-5FemaleHumansDNA-Binding ProteinsDNA Excision Repair Protein ERCC-5EndonucleasesNuclear ProteinsTranscription FactorsBreast cancerERCC5GeneticsMeta-analysisPolymorphism

Identifiers

PMID42386575
PMCPMC13366169

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.