Predicting HPV association using deep learning and regular H&E stains allows granular stratification of oropharyngeal cancer patients

Human Papilloma Virus (HPV)-associated oropharyngeal squamous cell cancer (OPSCC) represents an OPSCC subgroup with an overall good prognosis with a rising incidence in Western countries. Multiple lines of evidence suggest that HPV-associated tumors are not a homogeneous tumor entity, underlining th...

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Veröffentlicht in:NPJ digital medicine 2023-08, Vol.6 (1), p.152-152, Article 152
Hauptverfasser: Klein, Sebastian, Wuerdemann, Nora, Demers, Imke, Kopp, Christopher, Quantius, Jennifer, Charpentier, Arthur, Tolkach, Yuri, Brinker, Klaus, Sharma, Shachi Jenny, George, Julie, Hess, Jochen, Stögbauer, Fabian, Lacko, Martin, Struijlaart, Marijn, van den Hout, Mari F.C.M., Wagner, Steffen, Wittekindt, Claus, Langer, Christine, Arens, Christoph, Buettner, Reinhard, Quaas, Alexander, Reinhardt, Hans Christian, Speel, Ernst-Jan, Klussmann, Jens Peter
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Sprache:eng
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Zusammenfassung:Human Papilloma Virus (HPV)-associated oropharyngeal squamous cell cancer (OPSCC) represents an OPSCC subgroup with an overall good prognosis with a rising incidence in Western countries. Multiple lines of evidence suggest that HPV-associated tumors are not a homogeneous tumor entity, underlining the need for accurate prognostic biomarkers. In this retrospective, multi-institutional study involving 906 patients from four centers and one database, we developed a deep learning algorithm (OPSCCnet), to analyze standard H&E stains for the calculation of a patient-level score associated with prognosis, comparing it to combined HPV-DNA and p16-status. When comparing OPSCCnet to HPV-status, the algorithm showed a good overall performance with a mean area under the receiver operator curve (AUROC) = 0.83 (95% CI = 0.77-0.9) for the test cohort ( n  = 639), which could be increased to AUROC = 0.88 by filtering cases using a fixed threshold on the variance of the probability of the HPV-positive class - a potential surrogate marker of HPV-heterogeneity. OPSCCnet could be used as a screening tool, outperforming gold standard HPV testing (OPSCCnet: five-year survival rate: 96% [95% CI = 90–100%]; HPV testing: five-year survival rate: 80% [95% CI = 71–90%]). This could be confirmed using a multivariate analysis of a three-tier threshold (OPSCCnet: high HR = 0.15 [95% CI = 0.05–0.44], intermediate HR = 0.58 [95% CI = 0.34–0.98] p  = 0.043, Cox proportional hazards model, n  = 211; HPV testing: HR = 0.29 [95% CI = 0.15–0.54] p  
ISSN:2398-6352
2398-6352
DOI:10.1038/s41746-023-00901-z