The association between CCR5 Δ32 polymorphism and susceptibility to breast cancer

Autor: Qiang Wu, Yuan Peng, Junlong Li, Hui Liu
Rok vydání: 2017
Předmět:
Zdroj: Oncotarget
ISSN: 1949-2553
DOI: 10.18632/oncotarget.19959
Popis: // Junlong Li 1, * , Yuan Peng 2, * , Hui Liu 3 and Qiang Wu 1 1 Department of Medicine and Teaching, Southwest Hospital, Third Military Medical University, Chongqing 400038, China 2 Department of Oncology, Southwest Hospital, Third Military Medical University, Chongqing 400038, China 3 Department of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University, Chongqing 400038, China * These authors have contributed equally to this work Correspondence to: Qiang Wu, email: yukilin@126.com Keywords: CCR5, polymorphism, breast cancer, susceptibility, meta-analysis Received: October 27, 2016 Accepted: March 09, 2017 Published: August 05, 2017 ABSTRACT Background: Chemokine C-C motif receptor 5 ( CCR5 ) gene polymorphisms have been proposed to play important roles in tumors. Δ32 polymorphism of this gene might correlate with breast cancer (BC) susceptibility. Nevertheless, inconsistent conclusions have been achieved as yet. We carried out this meta-analysis to draw a more comprehensive and convincing conclusion on this issue. Results: No significant correlation of CCR5 Δ32 polymorphism with individual susceptibility to BC was detected in either total analysis (Δ32 vs. WT: OR=1.12, 95% CI=0.76-1.65; WT/Δ32 vs. WT/WT: OR=1.21, 95% CI=0.81-1.80) or subgroup analyses by ethnicity and control source. Methods: All eligible studies were searched from electronic databases including Chinese National Knowledge Infrastructure (CNKI), PubMed, EMBASE, and Google Scholar Web. Strength of association between CCR5 Δ32 polymorphism and BC susceptibility was evaluated using pooled odds ratios (ORs) with their corresponding 95% confidence intervals (95% CIs). To further detect their correlation in specific populations, subgroup analyses were performed based on ethnicity and control source. Sensitivity analysis was conducted in this meta-analysis to test statistical stability of the final results. Publication bias among included studies was inspected with Begg’s funnel plot and Egger’s test. Conclusion: CCR5 Δ32 polymorphism may not independently affect the risk of BC.
Databáze: OpenAIRE