4.4 Article

An Imaging Biomarker of Tumor-Infiltrating Lymphocytes to Risk-Stratify Patients With HPV-Associated Oropharyngeal Cancer

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OXFORD UNIV PRESS INC
DOI: 10.1093/jnci/djab215

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  1. National Cancer Institute of the National Institutes of Health [1U24CA199374-01, R01CA202752-01A1, R01CA208236-01A1, R01CA216579-01A1, R01CA220581-01A1, 1U01 CA239055-01, R01CA249992-01A1, R01CA257612-01A1, 1U01CA239055-01, 1U01CA248226-01, 1U54CA254566-01]
  2. National Heart, Lung and Blood Institute [1R01HL15127701A1]
  3. National Institute for Biomedical Imaging and Bioengineering [1R43EB028736-01]
  4. National Center for Research Resources [1 C06 RR12463-01]
  5. United States Department of Veterans Affairs Biomedical Laboratory Research and Development Service [IBX004121A]
  6. Department of Defense (DOD) Breast Cancer Research Program Breakthrough Level 1 Award [W81XWH19-1-0668]
  7. DOD Prostate Cancer Idea Development Award [W81XWH-15-1-0558]
  8. DOD Lung Cancer Investigator-Initiated Translational Research Award [W81XWH-18-1-0440]
  9. DOD Peer Reviewed Cancer Research Program [W81XWH-16-1-0329]
  10. Ohio Third Frontier Technology Validation Fund
  11. Wallace H. Coulter Foundation Program in the Department of Biomedical Engineering
  12. Clinical and Translational Science Award Program (CTSA) at Case Western Reserve University
  13. National Cancer Institute Cancer Center Support Grant [P30CA125123]
  14. United States Department of Veterans Affairs Clinical Sciences Research and Development Program [IK2 CX001953]
  15. Computational Genomic Epidemiology of Cancer Program at Case Comprehensive Cancer Center [T32CA094186]

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This study investigates whether OP-TIL, a biomarker, can separate stage I HPV-associated OPSCC patients into low-risk and high-risk groups and aid in patient selection for de-escalation clinical trials.
Background Human papillomavirus (HPV)-associated oropharyngeal squamous cell carcinoma (OPSCC) has excellent control rates compared to nonvirally associated OPSCC. Multiple trials are actively testing whether de-escalation of treatment intensity for these patients can maintain oncologic equipoise while reducing treatment-related toxicity. We have developed OP-TIL, a biomarker that characterizes the spatial interplay between tumor-infiltrating lymphocytes (TILs) and surrounding cells in histology images. Herein, we sought to test whether OP-TIL can segregate stage I HPV-associated OPSCC patients into low-risk and high-risk groups and aid in patient selection for de-escalation clinical trials. Methods Association between OP-TIL and patient outcome was explored on whole slide hematoxylin and eosin images from 439 stage I HPV-associated OPSCC patients across 6 institutional cohorts. One institutional cohort (n = 94) was used to identify the most prognostic features and train a Cox regression model to predict risk of recurrence and death. Survival analysis was used to validate the algorithm as a biomarker of recurrence or death in the remaining 5 cohorts (n = 345). All statistical tests were 2-sided. Results OP-TIL separated stage I HPV-associated OPSCC patients with 30 or less pack-year smoking history into low-risk (2-year disease-free survival [DFS] = 94.2%; 5-year DFS = 88.4%) and high-risk (2-year DFS = 82.5%; 5-year DFS = 74.2%) groups (hazard ratio = 2.56, 95% confidence interval = 1.52 to 4.32; P < .001), even after adjusting for age, smoking status, T and N classification, and treatment modality on multivariate analysis for DFS (hazard ratio = 2.27, 95% confidence interval = 1.32 to 3.94; P = .003). Conclusions OP-TIL can identify stage I HPV-associated OPSCC patients likely to be poor candidates for treatment de-escalation. Following validation on previously completed multi-institutional clinical trials, OP-TIL has the potential to be a biomarker, beyond clinical stage and HPV status, that can be used clinically to optimize patient selection for de-escalation.

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