Image analysis reveals differences in tumor multinucleations in Black and White patients with human papillomavirus‐associated oropharyngeal squamous cell carcinoma

Abstract

Understanding biological differences between different racial groups of human papillomavirus (HPV)‐associated oropharyngeal squamous cell carcinoma (OPSCC) patients, who have differences in terms of incidence, survival, and tumor morphology, can facilitate accurate prognostic biomarkers, which can help develop personalized treatment strategies.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 06, 2022
Source ID
10.1002/cncr.34446

Entities

People

  • Anant Madabhushi
  • Andrew G. Sikora
  • Can Koyuncu
  • Cheng Lu
  • David J. Adelstein
  • Deborah J. Chute
  • Farhoud Faraji
  • Germán Corredor
  • James S. Lewis Jr
  • Jay K. Wasman
  • Jingqin R. Luo
  • Jun Xu
  • Justin A. Bishop
  • Kailin Yang
  • Krystle A. Lang Kuhs
  • Lester D.r. Thompson
  • Mitra Mehrad
  • Patricia D Castro
  • Pingfu Fu
  • Quintin Pan
  • Rebecca D. Chernock
  • Reetoja Nag
  • Shlomo A. Koyfman
  • Vidya S. Viswanathan
  • Vlad C. Sandulache
  • Wade L Thorstad
  • Zelin Zhang

Organizations

  • Baylor College of Medicine
  • Case Western Reserve University
  • Cleveland Clinic
  • Emory University
  • Georgia Tech
  • Johns Hopkins University
  • Michael E. DeBakey Veterans Affairs Medical Center in Houston
  • Nanjing University of Information Science and Technology
  • National Cancer Institute
  • National Center for Research Resources
  • National Institute of Biomedical Imaging and Bioengineering
  • National Institutes of Health
  • Stand Up to Cancer
  • United States Department of Defense
  • United States Department of Veterans Affairs
  • University of California, San Diego
  • University of Texas at Austin
  • Vanderbilt University
  • Vanderbilt University Medical Center
  • Veterans Health Administration
  • Washington University in St. Louis

Tags

Readers

  • Gender and Food Studies
  • Oncology and Biomarker-Based Cancer Detection.