Skip to main navigation Skip to search Skip to main content

Veteran oropharyngeal cancer outcomes in the modern era: a multi-institutional retrospective analysis

  • Samantha Little
  • , Margaret F. Williams
  • , Michael Gilkey
  • , Dannelys Perez-Bello
  • , Grace Amadio
  • , Mark Klein
  • , Alec Block
  • , Elizabeth Gore
  • , Michael Chang
  • , Umamaheswar Duvvuri
  • , Melonie A. Nance
  • , Daniel J. Becker
  • , Vinita Takiar
  • , Carrie E. Flanagan
  • , Larisa Schwartzman
  • , Anant Madabhushi
  • , Vlad C. Sandulache

Research output: Contribution to journalArticlepeer-review

Abstract

ObjectiveTo define oncologic outcomes in Veterans in the modern era using a multi-institutional cohort designed to support development and validation of prognostic and predictive biomarkers for oropharyngeal squamous cell carcinoma (OPSCC).MethodsA retrospective analysis was conducted including adult OPSCC patients treated at one of nine Veterans Affairs Medical Centers between 2000 and 2024; inclusive of 597 HPV-associated and 197 HPV-independent tumors. All patients were treated with curative intent external beam radiotherapy (100%) with (90%) or without concurrent chemotherapy.ResultsA total of 894 adult patients (mean age, 64 years; 881 (99.5%) male) were included in the study; 22% of patients self-identified as Black. The estimated 2- and 5-year OS rates for the entire cohort were 71% and 54%, respectively and lagged substantially behind locoregional control (LRC) and distant metastatic control (DMC). For Veterans with HPV-associated OPSCC, LRC and DMC at 5 years were 87% and 87% respectively. The strongest drivers of OS and LRC were T-classification and chemotherapy choice on univariate and multivariate analysis.ConclusionsAlthough LRC and DMC rates among Veterans track well with recently completed clinical trial outcomes, OS rates lag substantially suggestive of higher rates of non-cancer-specific mortality. Together, these data suggest that predictive biomarker strategies focused on treatment effectiveness should be predicated on LRC and DMC rather than OS. This multicenter study is the first step in providing a robust dataset capable of developing and optimizing artificial intelligence (AI)-informed prognostic and predictive strategies essential to a precision oncology approach to OPSCC.

Original languageEnglish (US)
Article number107942
JournalOral Oncology
Volume176
DOIs
StatePublished - May 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Oral Surgery
  • Oncology
  • Cancer Research

Fingerprint

Dive into the research topics of 'Veteran oropharyngeal cancer outcomes in the modern era: a multi-institutional retrospective analysis'. Together they form a unique fingerprint.

Cite this