Skip to main content
padlock icon - secure page this page is secure

Identification of key differentially expressed mRNAs and microRNAs in nonsmall cell lung cancer using bioinformatics analysis

Buy Article:

$42.00 + tax (Refund Policy)

Nonsmall cell lung cancer (NSCLC) is a leading cause of mortality worldwide. However, the pathogenesis of NSCLC remains to be fully elucidated. Therefore, the present study aimed to explore the differential expression of mRNAs and microRNAs (miRNAs/miRs) in NSCLC and to determine how these RNA molecules interact with one another to affect disease progression. Differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) were identified from the GSE18842, GSE32863 and GSE29250 datasets downloaded from the Gene Expression Omnibus (GEO database). Functional and pathway enrichment analysis were performed based on Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. STRING, Cytoscape and MCODE were applied to construct a proteinprotein interaction (PPI) network and to screen hub genes. The interactions between miRNAs and mRNAs were predicted using miRWalk 3.0 and a miRNAmRNA regulatory network was constructed. The prognostic value of the identified hub genes was then evaluated via KaplanMeier survival analyses using datasets from The Cancer Genome Atlas. A total of 782 DEGs and 46 DEMs were identified from the 3 GEO datasets. The enriched pathways and functions of the DEGs and target genes of the DEMs included osteoclast differentiation, cell adhesion, response to a drug, plasma membrane, extracellular exosome and protein binding. A subnetwork composed of 11 genes was extracted from the PPI network and the genes in this subnetwork were mainly involved in the cell cycle, cell division and DNA replication. A miRNAgene regulatory network was constructed with 247 miRNAgene pairs based on 6 DEMs and 210 DEGs. KaplanMeier survival analysis indicated that the expression of ubiquitin E2 ligase C, cell division cycle protein 20, DNA topoisomerase IIα, aurora kinase A and B, cyclin B2, maternal embryonic leucine zipper kinase, slit guidance ligand 3, phosphoglucomutase 5, endomucin, cysteine dioxygenase type 1, dihydropyrimidinaselike 2, miR130b, miR1181 and miR127 was significantly associated with overall survival of patients with lung adenocarcinoma. In the present study, a miRNAmRNA regulatory network in NSCLC was established, which may provide future avenues for scientific exploration and therapeutic targeting of NSCLC.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Affiliations: Department of Pulmonary and Critical Care Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, P.R. China

Publication date: October 1, 2020

More about this publication?
  • Experimental and Therapeutic Medicine aims to ensure the expedient publication, in both print and electronic format, of studies relating to biology, gene therapy, infectious disease, microbiology, molecular cardiology and molecular surgery. The journal welcomes studies pertaining to all aspects of molecular medicine, and studies relating to in vitro or in vivo experimental model systems relevant to the mechanisms of disease are also included.

    All materials submitted to this journal undergo the appropriate review via referees who are experts in this field. All materials submitted follow international guidelines with regard to approval of experiments on humans and animals.
  • Editorial Board
  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Information for Advertisers
  • Terms & Conditions
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more