4.3 Article

Association of microRNA polymorphisms with gastric cancer risk in the North Chinese Han population

期刊

JOURNAL OF CANCER RESEARCH AND THERAPEUTICS
卷 18, 期 2, 页码 581-586

出版社

WOLTERS KLUWER MEDKNOW PUBLICATIONS
DOI: 10.4103/jcrt.jcrt_74_21

关键词

Association study; gastric cancer; MicroRNA; polymorphism

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资金

  1. National Natural Science Foundation of China [81801613]
  2. China Postdoctoral Science Fund [2020M682188]
  3. Shandong Provincial Natural Science Foundation [ZR2020LZL018]
  4. Science and Technology Development Plan of Jinan [202019090]
  5. Clinical Research Center of Shandong University [2020SDUCRCC010]
  6. Beijing Medical and Health Foundation [YWJKJJHKYJJ-F1121A]

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This study investigated the association between three common miRNA polymorphisms and the susceptibility of gastric cancer. The results showed that none of the three SNPs were associated with the risk of gastric cancer, but miR-146a rs2910164 SNP was strongly associated with age and gender in gastric cancer patients.
Background and Aims: MicroRNA (miRNA) was found as a class of endogenous, important regulators of gene expression and involved in the regulation of many biological processes such as cell proliferation, apoptosis, and differentiation. Increasing studies have suggested that miR-146a, miR-196a2, and miR-499 play important roles in the development processes of gastric cancer (GC). The aim of our study is to investigate whether three common miRNA polymorphisms are associated with the susceptibility of GC. Materials and Methods: MiR-146a rs2910164 (G > C), miR-196a2 rs11614913 (C > T), and miR-499 rs3746444 (A > G) were genotyped by Taq-man assays in the present case-control study (386 patients, 341 controls). The associations between the selected miRNA single-nucleotide polymorphisms (SNPs) and the risk of GC were estimated by odds ratio (OR) with 95% confidence interval using logistic regression analysis. Results: Our results showed that none of the three SNPs was associated with the risk of GC in allelic frequencies and multiple genetic models. Further stratified analysis with regard to clinical-pathological parameters of GC patients indicated that miR-146a rs2910164 SNP was strongly associated with age (OR = 0.53, P = 0.001) and gender (OR = 0.61, P = 0.006). Conclusions: The present study showed no association of the investigated miRNA SNPs with the risk of GC in the north Chinese population.

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