Oncotarget

Research Papers:

The association between CCR5 Δ32 polymorphism and susceptibility to breast cancer

Junlong Li, Yuan Peng, Hui Liu and Qiang Wu _

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Oncotarget. 2017; 8:82796-82802. https://doi.org/10.18632/oncotarget.19959

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Abstract

Junlong Li1,*, Yuan Peng2,*, Hui Liu3 and Qiang Wu1

1Department of Medicine and Teaching, Southwest Hospital, Third Military Medical University, Chongqing 400038, China

2Department of Oncology, Southwest Hospital, Third Military Medical University, Chongqing 400038, China

3Department 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: [email protected]

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.


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