Published in

Dove Press, OncoTargets and Therapy, p. 421

DOI: 10.2147/ott.s78647

Links

Tools

Export citation

Search in Google Scholar

Single-nucleotide polymorphisms of microRNA processing machinery genes and risk of colorectal cancer

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Red circle
Preprint: archiving forbidden
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

Yufei Zhao, Yanming Du, Shengnan Zhao, Zhanjun GuoDepartment of Gastroenterology and Hepatology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, People’s Republic of ChinaObjective: MicroRNA (miRNA)-related single-nucleotide polymorphisms (miR-SNPs) in miRNA processing machinery genes can affect cancer risk, treatment efficacy, and patient prognosis. We genotyped 6 miR-SNPs of miRNA processing machinery genes including XPO5 (rs11077), RAN (rs14035), Dicer (rs3742330), TNRC6B (rs9623117), GEMIN3 (rs197412), and GEMIN4 (rs2740348) in a case-control study to evaluate their impact on colorectal cancer (CRC) risk.Materials and methods: miR-SNPs were genotyped using the polymerase chain reaction–ligase detection reaction. The Χ2 test was used to analyze dichotomous values, such as the presence or absence of any individual SNP in CRC patients and healthy controls.Results: Two of these SNPs were identified for their association with cancer risk in the Dicer and GEMIN3 genes. The AA allele of rs3742330 located in the Dicer gene exhibited a significantly increased risk of CRC (odds ratio, 2.11; 95% confidence interval: 1.33–3.34; P=0.001); the TT allele of rs197412 located in GEMIN3 also exhibited a significantly increased risk of CRC (odds ratio, 1.68; 95% confidence interval: 1.07–2.65; P=0.024).Conclusion: Our results suggest that the specific genetic variants in miRNA machinery genes may affect CRC susceptibility.Keywords: miR-SNP, CRC, GEMIN3, Dicer