Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas.

Journal: Oral oncology
PMID: 40043423

Abstract

OBJECTIVES: Human papillomavirus (HPV) influences the pathobiology of Head and Neck Squamous Cell Carcinomas (HSNCCs). While deep learning shows promise in detecting HPV from hematoxylin and eosin (H&E) stained slides, the histologic features utilized remain unclear. This study leverages artificial intelligence (AI) foundation models to characterize histopathologic features associated with HPV presence and objectively describe patterns of variability in the HPV-positive space.

Authors

  • Hanna M Hieromnimon
    Graduate Program in Biophysical Sciences, University of Chicago, Chicago, IL 60637, USA.
  • Anna Trzcinska
    Department of Pathology, University of Chicago, Chicago, IL 60637, USA.
  • Frank T Wen
    Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
  • Frederick M Howard
    Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, USA.
  • James M Dolezal
    Section of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center, Chicago, IL, USA.
  • Emma Dyer
    Section of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center, Chicago, IL, USA.
  • Sara Kochanny
    Department of Medicine, University of Chicago Medicine, Chicago, IL, USA.
  • Jefree J Schulte
    Department of Pathology, University of Chicago Medicine, Chicago, IL, USA.
  • Cindy Wang
    Department of Statistics, Harvard University, Cambridge, MA, USA.
  • Heather Chen
    Department of Pathology, University of Chicago, Chicago, IL, USA.
  • Jeffrey Chin
    Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
  • Elizabeth Blair
    Department of Surgery.
  • Nishant Agrawal
  • Ari Rosenberg
    Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
  • Everett Vokes
    Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
  • Rohan Katipally
    Department of Radiation and Cellular Oncology.
  • Aditya Juloori
    Department of Radiation and Cellular Oncology.
  • Evgeny Izumchenko
    Department of Medicine, Section of Hematology and Oncology, University of Chicago, Chicago, IL 60637, USA.
  • Mark W Lingen
    Department of Pathology, University of Chicago, Chicago, IL 60637, USA; Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
  • Nicole Cipriani
    Department of Pathology, University of Chicago, Chicago, IL, USA.
  • Jalal B Jalaly
    Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Devraj Basu
    Department of Otorhinolaryngology-Head and Neck Surgery, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Samantha J Riesenfeld
    Department of Medicine, University of Chicago, Chicago, IL 60637, USA; Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA; CZ Biohub Chicago, LLC, University of Chicago, Chicago, IL 60642, USA; NSF-Simons National Institute for Theory and Mathematics in Biology (NITMB), Chicago, IL 60637, USA. Electronic address: sriesenfeld@uchicago.edu.
  • Alexander T Pearson
    Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, USA.

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