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Article type: Research Article
Authors: Yu, Xinnian | Chen, Baoan; * | Cheng, Jian | Gao, Chong | Zhang, Xiaoping | Bao, Wen
Affiliations: Department of Hematology (Key Department of Jiangsu Medicine), Zhongda Hospital, Medical School, Southeast University, Nanjing, China
Correspondence: [*] Corresponding author: Baoan Chen, Department of Hematology (Key Department of Jiangsu Medicine), Zhongda Hospital, Medical School, Southeast University, Dingjiaqiao 87, Nanjing 210009, China. Tel.: +86 25 83272006; Fax: +86 25 83272011; E-mail: [email protected].
Abstract: Objective:The Interleukin-10 (IL-10) gene polymorphism (–1082 A>G) has been linked to the risk of developing lymphoma, but the available results were inconsistent. To derive a more precise estimation, we performed a meta-analysis. Methods:A comprehensive search was conducted to examine all the eligible studies about IL-10-1082A>G polymorphism and lymphoma risk. We used odds ratios (ORs) with 95% confidence intervals (CIs) to assess the strength of the association. Results:We included 12 studies, including 5847 cases and 6016 controls. The overall results suggested that the IL-10-1082G allele was associated with a borderline significantly increased risk of lymphoma (G vs. A: OR=1.07, 95% CI=1.01–1.12; GG vs. AA: OR=1.14, 95% CI=1.02–1.26; and AG+GG vs. AA: OR=1.10, 95% CI=1.02–1.19). Stratifying by ethnicity (Caucasian and mixed), tumor type [non-Hodgkin lymphoma (NHL) and Hodgkin lymphoma (HL)], sample size (> 1000 and ≤ 1000 subjects) and Hardy-Weinberg equilibrium (HWE) in controls, similar results were found in mixed subgroup, NHL subgroup, large studies and the subgroup conforming to HWE. Conclusions:In conclusion, the meta-analysis suggests that the IL-10-1082A>G polymorphism is weakly associated with altered susceptibility to lymphoma. Further studies with haplotype analysis and on larger population of mixed ethnicity are warranted for a more definitive conclusion.
Keywords: Lymphoma, meta-analysis, interleukin-10, polymorphism, susceptibility
DOI: 10.3233/CBM-140406
Journal: Cancer Biomarkers, vol. 14, no. 5, pp. 381-388, 2014
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