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Wellinghoff, Rachel L.

Mayo Clinic

Cofactor Genomics (United States)

Citations 1

Multicenter validation of an RNA-based assay to predict anti-PD-1 disease control in patients with recurrent or metastatic head and neck squamous cell carcinoma: the PREDAPT study
Flanagan, Kevin C. , Earls, Jon, Hiken, Jeffrey, Wellinghoff, Rachel L., Ponder, Michelle, McLeod, Howard L. , Westra, William H. , Vavinskaya, Vera , Sutton, Leisa , Deichaite, Ida , Macdonald, O. Kenneth, Welaya, Karim, Wade, James L. , Azzi, Georges, Pippas, Andrew W., Slim, Jennifer N. , Bank, Bruce, Sui, Xingwei, Kossman, Steven E., Shenkenberg, Todd D., Alexander, Warren L., Price, Katharine A. , Messina, D. , Glasscock, Jarret , Adkins, Douglas, Ley, Jessica C. , Colevas, Alexander Dimitrios , Cohen, Ezra E.W. , Duncavage, Eric James

Journal for ImmunoTherapy of Cancer | November 3, 2024 | Volume: 12 | Issue: 11 | Pages: e009573

10.1136/jitc-2024-009573 Get It

Background Despite advances in cancer care and detection, >65% of patients with squamous cell cancer of the head and neck (HNSCC) will develop recurrent and/or metastatic disease. The prognosis for these patients is poor with a 5-year overall survival of 39%. Recent treatment advances in immunotherapy, including immune checkpoint inhibitors like pembrolizumab and nivolumab, have resulted in clinical benefit in a subset of patients. There is a critical clinical need to identify patients who benefit from these antiprogrammed cell death protein 1 (anti-PD-1) immune checkpoint inhibitors. Methods Here, we report findings from a multicenter observational study, PREDicting immunotherapy efficacy from Analysis of Pre-treatment Tumor biopsies (PREDAPT), conducted across 17 US healthcare systems. PREDAPT aimed to validate OncoPrism-HNSCC, a clinical biomarker assay predictive of disease control in patients with recurrent or metastatic HNSCC treated with anti-PD-1 immune checkpoint inhibitors as a single agent (monotherapy) and in combination with chemotherapy (chemo-immunotherapy). The test used RNA-sequencing data and machine learning models to score each patient and place them into groups of low, medium, or high. Results The OncoPrism-HNSCC prediction significantly correlated with disease control in both the monotherapy cohort (n=62, p=0.004) and the chemo-immunotherapy cohort (n=50, p=0.01). OncoPrism-HNSCC also significantly predicted progression-free survival in both cohorts (p=0.015 and p=0.037, respectively). OncoPrism-HNSCC had more than threefold higher specificity than programmed death-ligand 1 combined positive score and nearly fourfold higher sensitivity than tumor mutational burden for predicting disease control. Conclusions Here, we demonstrate the clinical validity of the OncoPrism-HNSCC assay in identifying patients with disease control in response to anti-PD-1 immune checkpoint inhibitors. Trial registration number NCT04510129.