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Association of hOGG1 Ser326Cys polymorphism with gastric cancer risk: a meta-analysis
Authors:Yanyang Niu  Fang Li  Bo Tang  Yan Shi  Peiwu Yu
Affiliation:(1) General Surgery Center of PLA, Military General Surgery Center, Southwest Hospital, The Third Military Medical University, Gaotanyan Street, Shapingba District, Chongqing, 400038, People’s Republic of China;(2) Department of Stomatology, Southwest Hospital, The Third Military Medical University, Gaotanyan Street, Shapingba District, Chongqing, 400038, People’s Republic of China;
Abstract:Studies investigating the association between human 8-oxoguanine glycosylase 1(hOGG1) Ser326Cys polymorphism and gastric cancer (GC) risk have reported conflicting results. We performed a meta-analysis of published case–control studies to better compare results between studies. 11 eligible studies with 2,180 GC cases and 3,985 controls were selected. There were 5 studies involving Caucasians and 5 studies involving Asians. The combined result based on all studies did not show significant difference in any genetics models. Ser/Cys + Cys/Cys versus Ser/Ser (OR = 0.91, 95% CI 0.81–1.03), Cys/Cys versus Ser/Cys + Ser/Ser (OR = 1.07, 95% CI 0.80–1.44), Ser/Cys versus Ser/Ser (OR = 0.91, 95% CI 0.80–1.03), Sys/Cys versus Ser/Cys (OR = 1.10, 95% CI 0.83–1.47), Cys/Cys versus Ser/Ser (OR = 0.99, 95% CI 0.74–1.34), Cys versus Ser (OR = 1.01, 95% CI 0.88–1.17).When stratifying for ethnicity, there was still no significant association found between hOGG1 Ser326Cys polymorphism and GC risk. Funnel plot and Egger’s test showed some evidence of publication bias on the basis of all studies. Two studies were the main reason because their samples were too small. However, the result of sensitivity analysis suggested that the influence of these two studies and one mixed population study on the pooled OR was weak. Our result could explain the association between hOGG1 Ser326Cys polymorphism and GC risk. In conclusion, we did not found the evidence that the Cys allele at codon 326 of hOGG1 could increase GC risk in our analysis.
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