With the American Joint Committee on Cancer (AJCC) 8th edition staging guidelines update, human papillomavirus-positive (HPV+) oropharyngeal squamous cell carcinoma (OPSCC) is now staged separately from its HPV-negative counterpart, preventing meaningful comparison of cases staged with the 7th versus 8th edition criteria. Manual restaging is time-consuming and error-prone, hindering multiyear analyses for HPV+ OPSCC. We developed an automated computational tool for re-classifying HPV+ OPSCC pathological and clinical tumor staging from AJCC 7th to 8th edition. The tool is designed to handle large data sets, ensuring comprehensive and accurate analysis of historic HPV+ OPSCC data. Validated against institutional and National Cancer Database data sets, the algorithm achieved accuracies of 100% (95% confidence interval [CI] 98.8%-100%) and 93.4% (95% CI 93.1%-93.7%), successfully restaging 326/326 and 26,505/28,374 cases, respectively. With its open-source design, this computational tool can enhance future HPV+ OPSCC research and inspire similar tools for other cancer types and subsequent AJCC editions.
Keywords: HPV+ Oropharyngeal Squamous Cell Carcinoma (OPSCC); R Shiny algorithm; TNM staging evolution; automated AJCC restaging; clinical informatics; open-source tool; pathological and clinical tumor staging; tumor classification.
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