Bioinformatics Identification of miRNA-mRNA Regulatory Network Contributing to Lung Cancer Invasion

Background & aim: Over the past 15 years, significant insights have been gained into the roles of miRNAs in cancer. In various cancers, miRNAs can act as oncogenes, tumor suppressors, or control the metastasis process by modulating the expression of numerous target genes. The aim of the present...

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Main Authors: KH Khashei Varnamkhasti, M Moghanibashi, S Naeimi
Format: Article
Language:fas
Published: Yasuj University Of Medical Sciences 2022-07-01
Series:Armaghane Danesh Bimonthly Journal
Subjects:
Online Access:http://armaghanj.yums.ac.ir/article-1-3249-en.html
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author KH Khashei Varnamkhasti
M Moghanibashi
S Naeimi
author_facet KH Khashei Varnamkhasti
M Moghanibashi
S Naeimi
author_sort KH Khashei Varnamkhasti
collection DOAJ
description Background & aim: Over the past 15 years, significant insights have been gained into the roles of miRNAs in cancer. In various cancers, miRNAs can act as oncogenes, tumor suppressors, or control the metastasis process by modulating the expression of numerous target genes. The aim of the present study was to identify molecular network of miRNA-mRNA regulating lung cancer invasion, by bioinformatics approaches.   Methods: In this experimental study that was done in 2022, gene expression profiles of patients with lung cancer were collected from the RNASeq data of Cancer Genome Atlas (TCGA), by TCGAbiolinks package. Differentially expressed miRNAs and mRNAs were identified using “limma” and “edgeR” R packages and their targets were predicted by 2 databases; miRWalk, and Targetscan. Subsequently, the interaction regulatory network of miRNA-mRNA visualized using Cytoscape software.  Data analysis was performed using Testing Multiple Hypotheses and False Discovery Rate.   Results: The results of bioinformatics analysis of the lung cancer invasion specific miRNA-mRNA regulatory network, showed that six hub miRNAs including; hsa-let-7c-5p, hsa-let-7b-5p, hsa-let-7e-5p, hsa-miR-6838-5p, hsa-miR-320b and hsa-miR-4458, are regulator of the lung cancer invasion up-regulated genes and four hub miRNAs are regulator of this situation down-regulated gene including;  hsa-miR-92a-3p, hsa-miR-204-5p ,hsa-miR-24-3p and hsa-miR-506-3P.   Conclusion: The results in our study suggest that a specific miRNA-mRNA network is associated with the lung cancer invasion which this new insight into the molecular mechanism of lung cancer invasion result in the identification of molecular biomarkers and therapeutic targets for this malignancy.
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spelling doaj.art-7a726644dc4642629906db4b91f2c8c72022-12-22T01:47:57ZfasYasuj University Of Medical SciencesArmaghane Danesh Bimonthly Journal1728-65061728-65142022-07-01274430441Bioinformatics Identification of miRNA-mRNA Regulatory Network Contributing to Lung Cancer InvasionKH Khashei Varnamkhasti0M Moghanibashi1S Naeimi2 Department of Genetics, Kazerun branch, Islamic Azad University, Kazerun, Iran Department of Genetics, Kazerun branch, Islamic Azad University, Kazerun, Iran Department of Genetics, Kazerun branch, Islamic Azad University, Kazerun, Iran Background & aim: Over the past 15 years, significant insights have been gained into the roles of miRNAs in cancer. In various cancers, miRNAs can act as oncogenes, tumor suppressors, or control the metastasis process by modulating the expression of numerous target genes. The aim of the present study was to identify molecular network of miRNA-mRNA regulating lung cancer invasion, by bioinformatics approaches.   Methods: In this experimental study that was done in 2022, gene expression profiles of patients with lung cancer were collected from the RNASeq data of Cancer Genome Atlas (TCGA), by TCGAbiolinks package. Differentially expressed miRNAs and mRNAs were identified using “limma” and “edgeR” R packages and their targets were predicted by 2 databases; miRWalk, and Targetscan. Subsequently, the interaction regulatory network of miRNA-mRNA visualized using Cytoscape software.  Data analysis was performed using Testing Multiple Hypotheses and False Discovery Rate.   Results: The results of bioinformatics analysis of the lung cancer invasion specific miRNA-mRNA regulatory network, showed that six hub miRNAs including; hsa-let-7c-5p, hsa-let-7b-5p, hsa-let-7e-5p, hsa-miR-6838-5p, hsa-miR-320b and hsa-miR-4458, are regulator of the lung cancer invasion up-regulated genes and four hub miRNAs are regulator of this situation down-regulated gene including;  hsa-miR-92a-3p, hsa-miR-204-5p ,hsa-miR-24-3p and hsa-miR-506-3P.   Conclusion: The results in our study suggest that a specific miRNA-mRNA network is associated with the lung cancer invasion which this new insight into the molecular mechanism of lung cancer invasion result in the identification of molecular biomarkers and therapeutic targets for this malignancy.http://armaghanj.yums.ac.ir/article-1-3249-en.htmlbioinformaticsmirna-mrna regulatory networklung cancer
spellingShingle KH Khashei Varnamkhasti
M Moghanibashi
S Naeimi
Bioinformatics Identification of miRNA-mRNA Regulatory Network Contributing to Lung Cancer Invasion
Armaghane Danesh Bimonthly Journal
bioinformatics
mirna-mrna regulatory network
lung cancer
title Bioinformatics Identification of miRNA-mRNA Regulatory Network Contributing to Lung Cancer Invasion
title_full Bioinformatics Identification of miRNA-mRNA Regulatory Network Contributing to Lung Cancer Invasion
title_fullStr Bioinformatics Identification of miRNA-mRNA Regulatory Network Contributing to Lung Cancer Invasion
title_full_unstemmed Bioinformatics Identification of miRNA-mRNA Regulatory Network Contributing to Lung Cancer Invasion
title_short Bioinformatics Identification of miRNA-mRNA Regulatory Network Contributing to Lung Cancer Invasion
title_sort bioinformatics identification of mirna mrna regulatory network contributing to lung cancer invasion
topic bioinformatics
mirna-mrna regulatory network
lung cancer
url http://armaghanj.yums.ac.ir/article-1-3249-en.html
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AT mmoghanibashi bioinformaticsidentificationofmirnamrnaregulatorynetworkcontributingtolungcancerinvasion
AT snaeimi bioinformaticsidentificationofmirnamrnaregulatorynetworkcontributingtolungcancerinvasion