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. 2015 Aug 15;8(8):12557-65.
eCollection 2015.

Lack of association between interleukin-2 (IL-2) gene rs2069762 polymorphism and cancer risk: a meta-analysis

Yafeng Wang  1 , Yun Shu  2 , Heping Jiang  3 , Bin Sun  4 , Zhiqiang Ma  5 , Weifeng Tang  4
Affiliations

Lack of association between interleukin-2 (IL-2) gene rs2069762 polymorphism and cancer risk: a meta-analysis

Yafeng Wang et al. Int J Clin Exp Med. .

Abstract

Interleukin-2 (IL-2) is an important member of the cytokines that play critical roles in carcinogenesis. Many studies have investigated the association between IL-2 rs2069762 polymorphism and cancer risk; however, the results remain controversial. The aim of this study is to assess the correlation between IL-2 rs2069762 polymorphism and cancer risk. All eligible case-control studies accorded with criteria published up to March 30, 2015 were identified by searching Embase and PubMed databases. Association between IL-2 rs2069762 polymorphism and cancer risk was assessed by crude odds ratios (ORs) with 95% confidence intervals (CIs), respectively. Ten case-control studies from nine publications with 3095 cases and 4480 controls were included. Overall, IL-2 rs2069762 polymorphism was not associated with cancer risk in five genetic models (G vs. T: OR = 1.07, 95% CI = 0.95-1.21, P = 0.278; GG vs. TT: OR = 1.16, 95% CI = 0.86-1.57, P = 0.317; GG + TG vs. TT: OR = 1.09, 95% CI = 0.93-1.28, P = 0.273; GG vs. TT + TG: OR = 1.11, 95% CI = 0.85-1.44, P = 0.451; TG vs. TT: OR = 1.08, 95% CI = 0.92-1.28, P = 0.339, respectively). Similar results were also obtained after stratified by ethnicity and cancer type. This meta-analysis indicates that IL-2 rs2069762 T>G polymorphism is not associated with cancer risk. And the same conclusion is drawn after stratified by cancer type and ethnicity.

Keywords: IL-2; cancer susceptibility; meta-analysis; polymorphism.

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Figures

Figure 1
Figure 1
Flow diagram of articles selection procedures for IL-2 rs2069762 polymorphism and cancer risk meta-analysis.
Figure 2
Figure 2
Meta-analysis with a random-effects model for the association between IL-2 rs2069762 polymorphism and cancer risk (GG + TG vs. TT).
Figure 3
Figure 3
Funnel plot analysis to detect publication bias for the IL-2 rs2069762 polymorphism in the involved ten data sets (random-effects estimates, GG + TG vs. TT compare genetic model).
Figure 4
Figure 4
Sensitivity analysis of the effect of GG + TG vs. TT in overall cancer meta-analysis (random-effects assess).
Figure 5
Figure 5
Meta-analysis heterogeneity by Galbraith radial plot (GG + TG vs. TT compare genetic model).
See this image and copyright information in PMC

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