(2020) Investigation of the association between a genetic variant in mir-196a-2 gene and the risk of lung cancer in the Iranian population. Journal of Applied Biotechnology Reports. pp. 186-189. ISSN 23221186 (ISSN)
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Investigation of the association between a genetic variant in mir-196a-2 gene and the risk of lung cancer in the Iranian population.pdf Download (374kB) |
Abstract
Introduction: MicroRNAs (miRNAs) play an important role in the expression of their target genes. The single-nucleotide polymorphisms (SNPs) in miRNAs may affect their function and expression. The aim of the present study was to investigate the association between miR-196a2 rs116614913 polymorphism and non-small cell lung cancer (NSCLC) in the Iranian population. Materials and Methods: This case-control study was performed among 103 lung cancer patients and 100 healthy controls. The polymerase chain-reaction restriction fragment length polymorphism (PCR-RFLP) method and direct sequencing were used for miR-196a2 polymorphism genotyping. Statistical analyses were performed using SPSS software and t test method. Results: According to the findings of this study, there was no significant association between rs11614913 polymorphisms and the risk of lung cancer in codominant model (CT vs. CC: OR = 0.67, TT vs. CC: OR = 0.74, CT + CC vs. CC: OR = 1.133), dominant model (CT+TT vs. CC: OR=0.657) and recessive model (TT vs. CC+CT: OR = 0.88). In addition, there was no relationship between the clinicopathological characteristics of patients and controls. Conclusions: In summary, findings indicated no significant association between miR-196a2 rs11614913 polymorphisms and lung cancer in the Iranian population. Further studies with larger sample sizes are recommended to verify these findings. Copyright © 2020 The Author(s).
Item Type: | Article |
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Keywords: | Lung Cancer MiR-196a2 Polymorphism |
Page Range: | pp. 186-189 |
Journal or Publication Title: | Journal of Applied Biotechnology Reports |
Journal Index: | Scopus |
Volume: | 7 |
Number: | 3 |
Identification Number: | https://doi.org/10.30491/jabr.2020.109861 |
ISSN: | 23221186 (ISSN) |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.bmsu.ac.ir/id/eprint/8350 |
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