| Literature DB >> 27143935 |
Chi Zhang1, Jing-Yu Huang1, Zi-Qi He2, Hong Weng3.
Abstract
PURPOSE: Numerous studies have suggested that the interleukin-4 (IL-4) rs2243250 polymorphism is associated with gastric cancer susceptibility. However, the results were inconsistent. Hence, we carried out a meta-analysis to confirm the conclusion.Entities:
Keywords: genetic; interleukin-4; meta-analysis; polymorphism; stomach neoplasms
Year: 2016 PMID: 27143935 PMCID: PMC4844435 DOI: 10.2147/OTT.S104181
Source DB: PubMed Journal: Onco Targets Ther ISSN: 1178-6930 Impact factor: 4.147
Figure 1Flowchart of the study selection.
Characteristics of included studies in the meta-analysis
| Study | Country | Ethnicity | Sample size (case/control) | Cases
| HWE in controls | Controls
| ||||
|---|---|---|---|---|---|---|---|---|---|---|
| CC | CT | TT | CC | CT | TT | |||||
| El-Omar et al | America | Caucasian | 314/210 | 78 | 37 | 7 | 0.013 | 153 | 46 | 10 |
| Wu et al | People’s Republic of China | Asian | 220/230 | 5 | 69 | 146 | 0.016 | 12 | 55 | 163 |
| Lai et al | People’s Republic of China | Asian | 123/162 | 2 | 38 | 83 | 0.737 | 7 | 50 | 105 |
| Garcia-Gonzalez et al | Spain | Caucasian | 404/404 | 283 | 107 | 14 | 0.971 | 267 | 123 | 14 |
| Crusius et al | Europe | Caucasian | 242/1,154 | 159 | 76 | 7 | 0.603 | 824 | 305 | 25 |
| Jia et al | People’s Republic of China | Asian | 106/108 | 3 | 35 | 68 | 0.010 | 0 | 43 | 65 |
| Zambon et al | Italy | Caucasian | 40/64 | 32 | 7 | 1 | 0.800 | 45 | 17 | 2 |
| Ando et al | Japan | Asian | 330/190 | 26 | 158 | 146 | 0.248 | 18 | 92 | 80 |
| Ko et al | Korea | Asian | 84/336 | 4 | 24 | 53 | 0.019 | 22 | 95 | 207 |
| Long et al | People’s Republic of China | Asian | 112/238 | 6 | 28 | 78 | 0.028 | 10 | 53 | 175 |
| Pan et al | People’s Republic of China | Asian | 275/274 | 9 | 85 | 181 | 0.383 | 8 | 90 | 176 |
Abbreviation: HWE, Hardy–Weinberg equilibrium.
Meta-analysis of the association between IL-4 rs2243250 polymorphism and gastric cancer
| Analysis | Number of studies | Test of association
| Heterogeneity
| ||||
|---|---|---|---|---|---|---|---|
| OR | 95% CI | ||||||
| T vs C | |||||||
| Overall | 11 | 1.05 | 0.95–1.17 | 0.34 | 0.0 | 0.51 | 0.57 |
| HWE (yes) | 6 | 1.05 | 0.92–1.21 | 0.44 | 11.0 | 0.35 | |
| Caucasian | 4 | 1.08 | 0.81–1.42 | 0.61 | 57.9 | 0.07 | |
| Asian | 7 | 1.03 | 0.90–1.18 | 0.63 | 0.0 | 0.93 | |
| TT vs CC | |||||||
| Overall | 11 | 1.20 | 0.89–1.63 | 0.24 | 0.0 | 0.81 | 0.49 |
| HWE (yes) | 6 | 1.19 | 0.81–1.73 | 0.38 | 0.0 | 0.83 | |
| Caucasian | 4 | 1.17 | 0.72–1.90 | 0.53 | 0.0 | 0.85 | |
| Asian | 7 | 1.22 | 0.83–1.81 | 0.31 | 0.0 | 0.51 | |
| CT vs CC | |||||||
| Overall | 11 | 1.14 | 0.87–1.48 | 0.34 | 34.2 | 0.13 | 0.94 |
| HWE (yes) | 6 | 1.02 | 0.78–1.35 | 0.87 | 30.3 | 0.21 | |
| Caucasian | 4 | 1.07 | 0.75–1.54 | 0.70 | 62.5 | 0.05 | |
| Asian | 7 | 1.26 | 0.81–1.95 | 0.30 | 10.9 | 0.35 | |
| TT + CT vs CC | |||||||
| Overall | 11 | 1.13 | 0.89–1.44 | 0.33 | 30.0 | 0.16 | 0.60 |
| HWE (yes) | 6 | 1.04 | 0.79–1.37 | 0.78 | 33.8 | 0.18 | |
| Caucasian | 4 | 1.08 | 0.76–1.53 | 0.67 | 0.04 | 63.3 | |
| Asian | 7 | 1.22 | 0.83–1.80 | 0.30 | 0.0 | 0.45 | |
| TT vs CT + CC | |||||||
| Overall | 11 | 1.02 | 0.88–1.20 | 0.76 | 0.0 | 0.98 | 0.65 |
| HWE (yes) | 6 | 1.09 | 0.89–1.35 | 0.40 | 0.0 | 0.99 | |
| Caucasian | 4 | 1.14 | 0.70–1.84 | 0.59 | 0.0 | 0.95 | |
| Asian | 7 | 1.01 | 0.86–1.19 | 0.89 | 0.0 | 0.85 | |
Abbreviations: CI, confidence interval; HWE, Hardy–Weinberg equilibrium; OR, odds ratio.
Figure 2Forest plots of the meta-analysis for TT vs CC genetic model.
Note: Weights are from random-effects analysis.
Abbreviations: CI, confidence interval; OR, odds ratio.
Figure 3Begg’s funnel plot of the TT vs CC genetic model.
Abbreviations: SE, standard error; OR, odds ratio.