| Objective:Using the Gene Expression Omnibus(GEO)database to identify the notable differentially expressed genes(DEGs)involved in their pathogenesis to obtain new biomarkers or potential therapeutic targets for oral squamous cell carcinoma.Methods:The gene expression profiles of the microarray datasets GSE23558、GSE37991、and GSE138206 were obtained from the Gene Expression Omnibus(GEO)database.After screening the DEGs in each GEO dataset,212 DEGs in OSCC tissues were obtained.Kyoto Encyclopedia of Genes and Genomes and Gene Ontology pathway enrichment analysis was employed to explore the biological functions and pathways of the above DEGs.After constructing a protein-protein interaction network,the data was imported into Cytoscape software to obtain a central gene and visualize them.The corresponding total survival information was analyzed in patients with oral cancer from Kaplan Meier-plotter.The GEPIA database was used to verification the expression of six genes closely related to the survival rate of oral cancer patients.Results:A total of 212 DEGs were screened,and further analysis revealed 16 core genes,among which the core genes associated with prognosis included Aurora kinase A,Aurora kinase B,apoptosis inhibiting factor 5,cell division cycle 6、E2F transcription factor 7,ubiquitinlike with PHD and RING finger domains 1.These key genes were highly expressed in patients with oral squamous cell carcinoma and the survival time of patients was low,the difference was statistically significant(P<0.05).Conclusions:This study detected DEGs between oral squamous cell carcinoma and adjacent normal tissue via comprehensive bioinformatics analysis.The six core genes could become potential prognostic markers for OCSS and may provide potential therapeutic targets for tumors.Of course,we still need further experiments to validate our conclusion. |
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