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A meta-analysis of tumor necrosis factor-α-308 G>A polymorphism in gastric cancer

Xin Jiang
Xin Jiang
, 
Niyaz Ahmad Naikoo
Niyaz Ahmad Naikoo
 und 
Shuowei Gao
Shuowei Gao
   | 10. Sept. 2020
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Article Category: Mini-review article
Online veröffentlicht: 10. Sept. 2020
Seitenbereich: 91 - 96
DOI: https://doi.org/10.1515/abm-2020-0014
Schlüsselwörter
© 2020 Xin Jiang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1

Flow chart of studies identification and inclusion. A. Forest plot of gastric cancer (GC) risk with the TNF-α-308 GG genotype (overall). A random-effects model was used for calculation. B. Forest plot of GC risk with the TNF-α-308 GA genotype (overall). A random-effects model was used for calculation. C. Forest plot of GC risk with the TNF-α-308 AA genotype (overall). A fixed-effects model was used for calculation. D. Forest plot of GC risk with the TNF-α-308 GA + AA genotype (overall). A random-effects model was used for calculation.
Flow chart of studies identification and inclusion. A. Forest plot of gastric cancer (GC) risk with the TNF-α-308 GG genotype (overall). A random-effects model was used for calculation. B. Forest plot of GC risk with the TNF-α-308 GA genotype (overall). A random-effects model was used for calculation. C. Forest plot of GC risk with the TNF-α-308 AA genotype (overall). A fixed-effects model was used for calculation. D. Forest plot of GC risk with the TNF-α-308 GA + AA genotype (overall). A random-effects model was used for calculation.

Figure 2

A. Begg's funnel plot for publication bias test for TNF-α-308 GG polymorphism. No evidence of publication bias (P = 0.84). B. Begg's funnel plot for publication bias test for TNF-α-308 GA polymorphism. No evidence of publication bias (P = 1.0). C. Begg's funnel plot for publication bias test for TNF-α-308 AA polymorphism. No evidence of publication bias (P = 0.60). D. Begg's funnel plot for publication bias test for TNF-α-308 GA + AA polymorphism. No evidence of publication bias (P = 1.0).
A. Begg's funnel plot for publication bias test for TNF-α-308 GG polymorphism. No evidence of publication bias (P = 0.84). B. Begg's funnel plot for publication bias test for TNF-α-308 GA polymorphism. No evidence of publication bias (P = 1.0). C. Begg's funnel plot for publication bias test for TNF-α-308 AA polymorphism. No evidence of publication bias (P = 0.60). D. Begg's funnel plot for publication bias test for TNF-α-308 GA + AA polymorphism. No evidence of publication bias (P = 1.0).

Main characteristics of studies selected for meta-analysis and distribution of TNF-α-308 G>A (rs1800629) polymorphism in cases and healthy controls

First author (year)Ethnicity/countryCaseHealthy control
GGGAAAGGGAAA
Li-Chuan Du et al. (2017)China204184123266014
Paulo Canedo et al. (2008)Portugal330178*544169*
Wu et al. (2002)USA1444221442
Liping Jiang et al. (2017)China207303411954
Yan Hong et al. (2013)China133533318158529514
David Stubljar et al. (2014)Slovenia6320083223
Amar C Bhayal et al. (2013)India327667612825
Garcia-Gonzalez et al. (2007)Spain3098411320777
Sugimoto et al. (2007)Japan1014016930
Wanli Lu et al. (2005)China214360274242
Carlos Machado et al. (2003)Portugal1791053231694
Seilanian Toosi M et al. (2007)Iran82151167294

Distribution of TNF-α-308 G>A (rs1800629) genotypes in GC patients and healthy controls

TNF-α-308 G>A (rs1800629) GenotypesGCHealthy controlsOR (95% CI)P
GG3,2004,300Reference–
GA8918060.82 (0.74–0.91)<0.0001
AA66790.62 (0.44–0.86)0.49

Statistics to test publication bias and heterogeneity in the meta-analysis

No. of studiesGenotype (case/control)Egger's regression analysisEffect size and 95% CIHeterogeneity analysis
InterceptPRE-OR95% CIZPQ-StatisticP (heterogeneity)†I2 (%)‡
12GG (3,200/4,300)0.5080.391.65(0.98–2.76)1.900.056222.030.0095.04
11GA (891/806)–0.2910.950.74(0.48–1.15)–1.300.19109.140.0090.83
10AA* (66/79)0.0090.561.01(0.71–1.43)0.570.959.390.404.23
12GG + GA (1,135/1,054)–0.3080.950.73(0.51–1.04)–1.730.082100.590.0089.06
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