ArticleJournal of the Egyptian National Cancer Institute2026
Identification of potential biomarkers for oral squamous cell carcinoma through multi-cohort bioinformatic analysis.
Article in Journal of the Egyptian National Cancer Institute, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Correction: Identification of potential biomarkers for oral squamous cell carcinoma through multi-cohort bioinformatic analysis.Journal of the Egyptian National Cancer Institute · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOral squamous cell carcinoma (OSCC) arises in the context of diverse etiological exposures, such as tobacco, alcohol, areca nut use and viral infections. This etiological heterogeneity drives distinct molecular alterations, contributing to tumor complexity and significant challenges in identifying robust, clinically applicable biomarkers.
methodsTo resolve this, we employed an integrative bioinformatics approach, analyzing five gene expression datasets retrieved from the GEO repository, which encompass heterogenous clinical samples with diverse clinical stages of OSCC Differentially expressed genes (DEGs) were identified using stringent thresholds (|LogFC|≥ 1.5 to 3.0; p < 0.05), followed by GO and KEGG pathway enrichment analysis. A protein-protein interaction (PPI) connectome was generated, leading to identification of key hub genes using five topological properties. The biological relevance of hub genes was validated via GEPIA, HPA, immune infiltration analysis, and miRNet.
resultsScreening of datasets provided 1764 DEGs. Enrichment analysis revealed dysregulation in immune response, metabolic processes, remodeling of the extracellular matrix, and inflammatory signaling. Five hub genes, EGFR, FN1, IL6, STAT1, and PTPRC, emerged as central regulators with distinct expression-survival profiles and associations with immune infiltration patterns. Notably, STAT1 and IL6 demonstrated context-dependent behavior, reflecting both tumor-intrinsic and microenvironment-derived expression patterns.
conclusionThis study highlights five key genes with potential diagnostic, prognostic, and therapeutic relevance in OSCC, emphasizing their consistency across clinically heterogeneous patient cohorts. IMPACT: These results extend a mechanistic understanding of OSCC pathobiology, thus promising leads towards the development of clinically robust biomarkers.
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