Systematic review and meta-analysis on the association between IL-1B polymorphisms and cancer risk

PLoS One. 2013 May 21;8(5):e63654. doi: 10.1371/journal.pone.0063654. Print 2013.

Abstract

Background: Interleukin-1 beta (IL-1β), a pro-inflammatory cytokine, is emerging as a key mediator of carcinogenesis that characterizes host-environment interactions. Epidemiological studies investigating the association between two polymorphisms of IL-1B (-511C/T and +3954C/T) and cancer susceptibility have shown conflicting results. The aim of this study is to derive a more precise estimation of the relationship.

Methods: Related studies were identified through a systematic literature search of PubMed and Web of Science from their inception to September 15, 2012. Summary odds ratios (ORs) and 95% confidence intervals (CIs) for the IL-1B -511C/T and +3954C/T polymorphisms and cancer risk were calculated. Heterogeneity among studies and publication bias were also tested.

Results: The meta-analysis included 91 case-control studies in 85 publications, 81 studies for the -511C/T (19547 cases and 23935 controls) and 26 studies for the +3954C/T polymorphisms (8083 cases and 9183). The pooled results indicated that IL-1B +3954C/T (dominant model: OR = 1.15, 95% CI: 1.01-1.30) was significantly associated with increased overall cancer risk, especially among hospital-based case-control studies (dominant model: OR = 1.30, 95% CI: 1.02-1.66). As for -511C/T, we observed an inverse relationship in cervical cancer (dominant model: OR = 1.74, 95% CI: 1.35-2.23) and hepatocellular carcinoma (dominant model: OR = 0.68, 95% CI: 0.47-0.99). Moreover, -511C/T was associated with risk of specific subtypes of gastric carcinoma.

Conclusion: This meta-analysis suggested that both the IL-1B -511C/T and +3954C/T polymorphisms might modulate cancer susceptibility. Further well-designed studies based on larger sample sizes should be performed to confirm the findings.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Review
  • Systematic Review

MeSH terms

  • Genetic Association Studies*
  • Genetic Predisposition to Disease*
  • Humans
  • Interleukin-1beta / genetics*
  • Models, Genetic
  • Neoplasms / genetics*
  • Polymorphism, Single Nucleotide
  • Publication Bias
  • Regression Analysis
  • Risk Factors

Substances

  • IL1B protein, human
  • Interleukin-1beta

Grants and funding

This study was supported by the National Natural Science Foundation of China (No. 81071643). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.