Dataset Information

Association between CD14 gene polymorphisms and cancer risk: a meta-analysis.

ABSTRACT:

Background

Two polymorphisms, -260C/T and -651C/T, in the CD14 gene have been implicated in susceptibility to cancer. However, the results remain inconclusive. This meta-analysis aimed to investigate the association between the two polymorphisms and risk of cancer.

Methods

All eligible case-control studies published up to March 2014 were identified by searching PubMed, Web of Science, CNKI and WanFang database. Pooled odds ratio (OR) with 95% confidence interval (CI) were used to access the strength of this association in fixed- or random-effects model.

Results

17 case-control studies from fourteen articles were included. Of those, there were 17 studies (4198 cases and 4194 controls) for -260C/T polymorphism and three studies (832 cases and 1190 controls) for -651C/T polymorphism. Overall, no significant associations between the two polymorphisms of CD14 gene and cancer risk were found. When stratified by ethnicity, cancer type and source of control, similar results were observed among them. In addition, in further subgroups analysis by Helicobacter pylori (H. pylori) infection status and tumor location in gastric cancer subgroup, we found that the CD14 -260C/T polymorphism may increase the risk of gastric cancer in H. pylori-infected individuals.

Conclusions

This meta-analysis suggests that the CD14 -260C/T polymorphism may increase the risk of gastric cancer in H. pylori-infected individuals. However, large and well-designed studies are warranted to validate our findings.

SUBMITTER: Wang J

PROVIDER: S-EPMC4076245 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Publications

Association between CD14 gene polymorphisms and cancer risk: a meta-analysis.

Wang Jun J Guo Xufeng X Yu Shijie S Song Jia J Zhang Jixiang J Cao Zhuo Z Wang Jing J Liu Min M Dong Weiguo W

PloS one 20140630 6

<h4>Background</h4>Two polymorphisms, -260C/T and -651C/T, in the CD14 gene have been implicated in susceptibility to cancer. However, the results remain inconclusive. This meta-analysis aimed to investigate the association between the two polymorphisms and risk of cancer.<h4>Methods</h4>All eligible case-control studies published up to March 2014 were identified by searching PubMed, Web of Science, CNKI and WanFang database. Pooled odds ratio (OR) with 95% confidence interval (CI) were used to ...[more]

PMID: 24978812

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Project description:BACKGROUND AND OBJECTIVE:Insulin-like growth factor 1 (IGF1) gene three prime untranslated region (3'-UTR) polymorphisms have been reported to be associated with cancer risk. However, the conclusions of the relevant studies are not consistent. The present meta-analysis evaluates the relationship between IGF1 gene 3'-UTR polymorphisms (rs5742714, rs6214, and rs6220) and cancer risk. METHODS:Articles regarding the relationship between IGF1 rs5742714, rs6214, and rs6220 polymorphisms and cancer risk were selected by searching the PubMed, Embase, and Web of Science databases before April 30, 2018. Altogether, we obtained 34 case-controlled studies from 20 articles, including 21,568 cases and 31,199 controls. The strength of associations was quantified using odds ratios (ORs) and the corresponding 95% confidence intervals (CIs). RESULTS:In the present meta-analysis, no significant associations were detected between rs5742714, rs6214, and rs6220 and overall cancer risk. Thus, in stratified analyses, we found that rs6214 was associated with a significantly reduced risk of breast cancer under the allele, heterozygote, and dominant models (A vs G: OR, 0.94, 95% CI,0.88-1.00, P?=?.044; GA vs GG: OR, 0.88, 95% CI, 0.80-0.97, P?=?.012; AA?+?GA vs GG: OR, 0.89, 95% CI, 0.81-0.97, P?=?.011), as well as pancreatic cancer under the recessive model (AA vs GA?+?GG: OR, 0.68, 95% CI,0.53-0.87, P?=?.003). Also, rs6220 was associated with a significantly increased risk of breast cancer under the homozygote model (GG vs AA: OR, 1.23, 95% CI, 1.02-1.48, P?=?.031). In addition, rs6220 was found to increase overall cancer risk among Caucasians under the allele model (G vs A: OR, 1.06, 95% CI, 1.00-1.13, P?=?.043). CONCLUSIONS:In this meta-analysis, we investigated and reviewed the relationship between IGF1 gene 3'-UTR polymorphisms (rs5742714, rs6214, and rs6220) and cancer risk based on present epidemiological studies. Further studies are needed to draw more precise conclusions in the future.

Dataset Information

Association between CD14 gene polymorphisms and cancer risk: a meta-analysis.

Background

Methods

Results

Conclusions

Publications

Association between CD14 gene polymorphisms and cancer risk: a meta-analysis.

Similar Datasets

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