Integrated Transcriptomic and Network-Based Identification of Prognostic Hub Genes in Oral Squamous Cell Carcinoma
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Background
The most prevalent kind of oral cancer is oral squamous cell carcinoma (OSCC), which has a poor prognosis because of delayed detection and a lack of molecular indicators.
Methods
Transcriptomic data from TCGA were analyzed to identify differentially expressed genes between OSCC and normal samples. Functional enrichment analysis was performed to determine biological pathways. A protein–protein interaction network was constructed using STRING and visualized in Cytoscape to identify hub genes.
Results
A total of 5732 differentially expressed genes were identified, including 2459 upregulated and 3273 downregulated genes. Network analysis revealed several highly connected hub genes such as CDK1, CCNB1, TOP2A, BUB1, and MMP9. Functional enrichment indicated significant involvement of cell cycle regulation and cancer-associated pathways.
Conclusion
This integrative analysis identified key regulatory hub genes that may be involved in OSCC progression. These genes may serve as promising biomarkers and therapeutic targets for future studies.
