Transcriptomic features add little to staging for oral cavity squamous cell carcinoma prognosis

Arlin Castro Diaz, Arlincastrodiaz02@gmail.com, Rigel Ramirez Fritze and Rigelramirezf1021@gmail.com

SAP Artificial Intelligence in Dentistry, 2026

Abstract: Introduction: Gene expression signatures are widely proposed to improve the prognosis of oral cavity squamous cell carcinoma, but whether they add value over clinical staging remains contested. Methods: A total of 101 oral cavity squamous cell carcinoma cases with transcriptomic and survival data from TCGA-HNSC were analyzed. Cox models using stage alone, stage and age, and a combined model adding 30 univariate-selected genes were compared by five-fold cross-validated concordance index. Results: The concordance index was 0.645 for stage alone, 0.670 for stage and age, and 0.640 for the combined model. The combined model did not exceed stage alone (difference -0.004), and age added the only meaningful gain. Conclusions: Transcriptomic features selected by univariate association did not improve survival discrimination over clinical staging in this oral cavity cohort.

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:cwf:aidart:aid2026150

DOI: 10.62486/aid2026150

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