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Updated: Jan 22, 2026

Modeling Oral-Esophageal Squamous Cell Carcinoma in 3D Organoids
Published on: December 23, 2022
Meta-analysis of gene expression for development and validation of a diagnostic biomarker panel for Oral Squamous
Vladimir Makarov1, Alex Gorlin2
1California State University Channel Islands, Camarillo, CA, 93012, United States; IFXworks LLC, 2915 Columbia Pike, Arlingtion, VA, 22204, United States.
Abstract:
We use a newly developed feature extraction and classification method to analyze previously published gene expression data sets in Oral Squamous Cell Carcinoma and in healthy oral mucosa in order to find a gene set sufficient for diagnoses. The feature selection technology is based on the relative dichotomy power concept published by us earlier. The resulting biomarker panel has 100% sensitivity and 95% specificity, is enriched in genes associated with oncogenesis and invasive tumor growth, and, unlike marker panels devised in earlier studies, shows concordance with previously published marker genes.
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