Literature DB >> 24365597

Polymorphisms of the TLR4 gene and risk of gastric cancer.

Lina Huang1, Kexin Yuan1, Jingjing Liu1, Xiyun Ren1, Xiaoqun Dong2, Wenjing Tian3, Yunhe Jia4.   

Abstract

OBJECTIVE: Toll-like receptor 4 (TLR4) is an important lipo-polysaccharide (LPS) receptor in gastric epithelial cell signaling transduction and plays critical roles in the development and progression of gastric cancer (GC). We investigated the effects of TLR4 gene polymorphisms and gene-environmental interactions on the risk of GC in Northeastern China.
METHODS: We genotyped two single-nucleotide polymorphisms (SNPs) in TLR4 (rs10116253 and rs1927911) in 217 GC patients and 294 cancer-free controls using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Odds ratio (OR) and 95% confidence intervals (CIs) were estimated by unconditional logistic-regression models.
RESULTS: Individuals carrying CC genotype of rs10116253 and TT genotype of rs1927911 had a significantly decreased risk of GC (adjusted OR=0.33, 95% CI 0.18-0.60, P<0.001 and adjusted OR=0.37, 95% CI 0.21-0.67, P=0.001 respectively), compared with TT genotype of rs10116253 and CC genotype of rs1927911. In addition, the SNP effects were additive to the effects of some known environmental factors without any interaction between them in the susceptibility to GC.
CONCLUSION: Our data suggested that TLR4 gene polymorphisms may be associated with a decreased risk of GC in Chinese population. And these SNPs and their combined effects with environmental factors may be associated with the risk of GC.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CI; DHA; EPA; GC; Gastric cancer; HWE; Hardy–Weinberg equilibrium; LPS; OR; PCR-RFLP; Single-nucleotide polymorphisms; TLR4; TLRs; TNM; Toll-like receptor 4; Toll-like receptors; confidence interval; docosahexaenoic acid; eicosapntemacnioc acid; gastric cancer; lipo-polysaccharide; odds ratio; polymerase chain reaction-restriction fragment length polymorphism; tumor-node-metastasis

Mesh:

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Year:  2013        PMID: 24365597     DOI: 10.1016/j.gene.2013.12.030

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


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