A Systematic Review of Meta-Analyses on Gene Polymorphisms and Gastric Cancer Risk

作者: Francesco Gianfagna , Emma Feo , Cornelia van Duijn , Gualtiero Ricciardi , Stefania Boccia

DOI: 10.2174/138920208785699544

关键词:

摘要: Background: Individual variations in gastric cancer risk have been associated the last decade with specific variant alleles of different genes that are present a significant proportion population. Polymorphisms may modify effects environmental exposures, and these gene-environment interactions could partly explain high variation incidence around world. The aim this report is to carry out systematic review published meta-analyses studies investigating association between gene polymorphisms risk, describe their impact at population level. Priorities on design further primary then provided. Methods: A structured bibliographic search Medline EMBASE databases has performed identify genetic susceptibility cancer, without restriction criteria. We main results we subgroup analyses performed, focusing detection statistical heterogeneity. investigated publication bias by pooling included meta-analyses, computed attributable (PAR) for each polymorphism. Results: Twelve one pooled-analysis community based were included, nine involved inflammation (IL-1β, IL-1RN, IL-8), detoxification carcinogens (GSTs, CYP2E1), folate metabolism (MTHFR), intercellular adhesion (E-cadherin) cell cycle regulation (p53). According random-Odds Ratios, individuals carrying IL-1RN *2, IL-1β -511T or homozygotes MTHFR 677T significantly higher than those wild type homozygote genotypes, showing PARs. sources heterogeneity ethnicity, quality study, selected co-exposures. Effect modification Helicobacter pylori infection subjects unfavourable IL-1 low intake allele reported, while show synergistic interactions. Publication was observed (Egger test, p = 0.03). Discussion: our focused having small effect increasing per se. Nevertheless, increase interacting exposures combination additional polymorphisms. Unfortunately underpowered many analyses, so larger collecting data co-exposures demanded.

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