Ontology highlight
ABSTRACT: Objective
This study aimed to identify potential biomarkers and elucidate molecular mechanisms in oral squamous cell carcinoma (OSCC) by leveraging an integrated bioinformatics approach.Methods
We conducted high-throughput RNA sequencing on OSCC and adjacent normal tissues to profile mRNA and lncRNA expression. Differentially expressed genes were identified and subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. A competing endogenous RNA (ceRNA) network was constructed, and protein-protein interaction (PPI) networks were analyzed using STRING and Cytoscape software. Hub genes were identified using the Cytohubba plug-in in Cytoscape.Results
Our analysis identified 5362 differentially expressed mRNAs and 280
SUBMITTER: Liu S
PROVIDER: S-EPMC12321711 | biostudies-literature | 2025 Aug
REPOSITORIES: biostudies-literature