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ABSTRACT: Background
Oral squamous cell carcinoma (OSCC) is the most common oral tumor globally. However, optimal therapeutic targets for OSCC have not been identified. This study aimed to identify the potential gene markers and available drugs for OSCC.Methods
Two transcriptional datasets containing OSCC gene expression data (GSE30784 and GSE23558) were selected from the Gene Expression Omnibus database. The interactive web tool GEO2R was then used to analyze the differentially expressed genes (DEGs) analysis. A Venn diagram was used to integrate the DEGs screened out by the two microarrays. Subsequently, a protein-protein interaction (PPI) network analysis of DEGs was performed using the Cytoscape, Database for Annotation, Visualization and Intergrated Discovery, and STRING databas
SUBMITTER: Zhang Z
PROVIDER: S-EPMC8797665 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature