Network-based identification of signature genes KLF6 and SPOCK1 associated with oral submucous fibrosis.
eigengene
epithelial to mesenchymal transition
meta-analysis
module
protein-protein interaction
singular value decomposition
weighted gene co-expression network analysis
Journal
Molecular and clinical oncology
ISSN: 2049-9450
Titre abrégé: Mol Clin Oncol
Pays: England
ID NLM: 101613422
Informations de publication
Date de publication:
Apr 2020
Apr 2020
Historique:
received:
22
03
2019
accepted:
08
10
2019
entrez:
20
3
2020
pubmed:
20
3
2020
medline:
20
3
2020
Statut:
ppublish
Résumé
The molecular mechanism of oral submucous fibrosis (OSF) is yet to be fully elucidated. The identification of reliable signature genes to screen patients with a high risk of OSF and to provide oral cancer surveillance is therefore required. The present study produced a filtering criterion based on network characteristics and principal component analysis, and identified the genes that were involved in OSF prognosis. Two gene expression datasets were analyzed using meta-analysis, the results of which revealed 1,176 biologically significant genes. A co-expression network was subsequently constructed and weighted gene modules were detected. The pathway and functional enrichment analyses of the present study allowed for the identification of modules 1 and 2, and their respective genes, SPARC (osteonectin), cwcv and kazal like domain proteoglycan 1 (SPOCK1) and kruppel like factor 6 (KLF6), which were involved in the occurrence of OSF. The results revealed that both genes had a prominent role in epithelial to mesenchymal transition during OSF progression. The genes identified in the present study require further exploration and validation within clinical settings to determine their roles in OSF.
Identifiants
pubmed: 32190310
doi: 10.3892/mco.2020.1991
pii: MCO-0-0-1991
pmc: PMC7058035
doi:
Types de publication
Journal Article
Langues
eng
Pagination
299-310Informations de copyright
Copyright: © Singh et al.
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