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The IL-17A G-197A and IL-17F 7488T/C polymorphisms are associated with increased risk of cancer in Asians: a meta-analysis

Overview of attention for article published in Drug Design, Development and Therapy, September 2015
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Title
The IL-17A G-197A and IL-17F 7488T/C polymorphisms are associated with increased risk of cancer in Asians: a meta-analysis
Published in
Drug Design, Development and Therapy, September 2015
DOI 10.2147/dddt.s84092
Pubmed ID
Authors

Huifen Wang, Yanli Zhang, Zhaolan Liu, Yin Zhang, Hongchuan Zhao, Shiyu Du

Abstract

Interleukin-17 (IL-17) is a family of emerged pro-inflammatory cytokines. The IL-17A and IL-17F are two important members of IL-17 family. Previous studies have shown that the functional IL-17A G-197A and IL-17F 7488T/C polymorphisms may contribute to susceptibility to cancer but the results were inconclusive. This meta-analysis was performed to determine the exact association between IL-17 polymorphisms and cancer risk. Online databases were searched to identify eligible case-control studies. Pooled odds ratios (ORs) and confidence intervals (CIs) were calculated by fixed-effect models or random-effect models. Publication bias was detected by Egger's test and Begg's test. Nine eligible case-control studies of IL-17A G-197A and seven studies of IL-17F 7488T/C, including 3,181 cases and 4,005 controls, were identified. Pooled analysis suggested the variant IL-17A-197A allele was associated with increased risk cancer (GA/AA vs GG, OR =1.27, 95% CI: 1.15, 1.41, P heterogeneity =0.374; and A vs G, OR =1.30, 95% CI: 1.17, 1.45, P heterogeneity =0.021). For IL-17F 7488T/C, the homozygote 7488CC genotype significantly increased risk of cancer (CC vs TC/TT, OR =1.36, 95% CI: 0.97, 1.91, P heterogeneity =0.875; and CC vs TT, OR =1.39, 95% CI: 1.03, 1.88, P heterogeneity =0.979), especially for gastric cancer. The variant IL-17A-197A allele and IL-17F 7488CC genotype were associated with increased risk of cancer, especially for gastric cancer.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 19%
Student > Ph. D. Student 3 19%
Student > Master 2 13%
Researcher 2 13%
Student > Bachelor 1 6%
Other 2 13%
Unknown 3 19%
Readers by discipline Count As %
Medicine and Dentistry 6 38%
Immunology and Microbiology 2 13%
Biochemistry, Genetics and Molecular Biology 1 6%
Business, Management and Accounting 1 6%
Agricultural and Biological Sciences 1 6%
Other 2 13%
Unknown 3 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 July 2016.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Drug Design, Development and Therapy
#1,754
of 2,268 outputs
Outputs of similar age
#237,474
of 276,789 outputs
Outputs of similar age from Drug Design, Development and Therapy
#100
of 133 outputs
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