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

Author:

Corredor Germán12ORCID,Toro Paula1,Koyuncu Can1ORCID,Lu Cheng1,Buzzy Christina1ORCID,Bera Kaustav1,Fu Pingfu3ORCID,Mehrad Mitra4,Ely Kim A4,Mokhtari Mojgan1,Yang Kailin5ORCID,Chute Deborah6,Adelstein David J7,Thompson Lester D R8ORCID,Bishop Justin A9,Faraji Farhoud10ORCID,Thorstad Wade11ORCID,Castro Patricia12ORCID,Sandulache Vlad131415,Koyfman Shlomo A5,Lewis James S4ORCID,Madabhushi Anant12ORCID

Affiliation:

1. Department of Biomedical Engineering, Center of Computational Imaging and Personalized Diagnostics, Case Western Reserve University, Cleveland, OH, USA

2. Louis Stokes Cleveland VA Medical Center, Cleveland, OH, USA

3. Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA

4. Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA

5. Department of Radiation Oncology, Cleveland Clinic, Cleveland, OH, USA

6. Department of Anatomic Pathology, Cleveland Clinic, Cleveland, OH, USA

7. Department of Medicine, School of Medicine, Case Western Reserve University, Cleveland, OH, USA

8. Department of Pathology, Southern California Permanente Medical Group, Woodland Hills, CA, USA

9. Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA

10. Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, UC San Diego Health, La Jolla, CA, USA

11. Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MS, USA

12. Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX, USA

13. Department of Otolaryngology-Head and Neck Surgery, Baylor College of Medicine, Houston, TX, USA

14. ENT Section, Operative Care Line, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA

15. Center for Translational Research on Inflammatory Disease (CTRID), Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA

Abstract

Abstract 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.

Funder

National Cancer Institute of the National Institutes of Health

National Heart, Lung and Blood Institute

National Institute for Biomedical Imaging and Bioengineering

National Center for Research Resources

United States Department of Veterans Affairs Biomedical Laboratory Research and Development Service

Department of Defense (DOD) Breast Cancer Research Program Breakthrough Level 1

DOD Prostate Cancer Idea Development Award

DOD Lung Cancer Investigator-Initiated Translational Research Award

DOD Peer Reviewed Cancer Research Program

Ohio Third Frontier Technology Validation Fund

Wallace H. Coulter Foundation Program in the Department of Biomedical Engineering

Clinical and Translational Science Award Program (CTSA) at Case Western Reserve University

National Cancer Institute Cancer Center

Career Development Award

United States Department of Veterans Affairs Clinical Sciences Research and Development Program

Computational Genomic Epidemiology of Cancer Program at Case Comprehensive Cancer Center

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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