Literature DB >> 31983284

Association of rs2620381 polymorphism in miR-627 and gastric cancer.

M Raad1, Z Salehi1, M Habibzaadeh Baalsini1, F Mashayekhi1, H Saeidi Saedi2.   

Abstract

Background: Gastric cancer is a complicated malignancy whose aetiology is not well characterized. Single nucleotide polymorphisms (SNPs), some located within microRNA genes, are linked with gastric cancer. We hypothesized a link between SNP rs2620381 (A > C) in miR-627 and gastric cancer.Material and methods: We recruited 280 healthy controls and 240 gastric cancer patients. Genotyping was conducted by allele-specific polymerase chain reaction. In addition, in silico analyses were carried out via databases and web tools including miRBase, dbSNP, RNAfold, MiRNASNP V2.0, miRWalk V2.0, miRTarBase, and miRmap.
Results: Any C genotype in rs2620381 was linked to gastric cancer: CC vs. AA: OR/95% CI 2.67 (1.17-6.09), p = 0.01, CC+AC vs. AA: OR/95% CI 1.66 (1.12-2.46), p = 0.01, CC vs. AC+AA: OR/95% CI 2.44 (1.07-5.54), p = 0.03. The minor allele C of miR-627 was linked with gastric cancer compared with A allele (OR/95%CI 1.88 (1.30-2.73), p = 0.0008). There were no links between age, sex, tumour type, distant metastasis, and tumour stages and the miR-627 polymorphism in gastric cancer patients.
Conclusion: Presence of the C SNP in miR-627 rs2620381 in linked with gastric cancer, and may be important in pathogenesis.

Entities:  

Keywords:  Gastric cancer; SNP; in silico analysis; miR-627; microRNA; polymorphism

Mesh:

Substances:

Year:  2020        PMID: 31983284     DOI: 10.1080/09674845.2019.1692762

Source DB:  PubMed          Journal:  Br J Biomed Sci        ISSN: 0967-4845            Impact factor:   3.829


  2 in total

Review 1.  Biomarkers of gastric cancer: current advancement.

Authors:  Tiantian Jiang; Lin Mei; Xiao Yang; Tingkai Sun; Zhidong Wang; Yuanyuan Ji
Journal:  Heliyon       Date:  2022-10-04

2.  A comprehensive evaluation of single nucleotide polymorphisms associated with gastric cancer risk: A protocol for systematic review and network meta-analysis.

Authors:  Zhuo-Miao Ye; Qing-Yu Hu; Jing-Hui Zheng; Chi Zhang; Xiang-Dong Zhu; You-Ming Tang
Journal:  Medicine (Baltimore)       Date:  2020-06-19       Impact factor: 1.817

  2 in total

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