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Duncavage, Eric James

0000-0003-4199-8906

Mayo Clinic

Washington University in St. Louis

Citations 2

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.
Mastocytosis
Tzankov, Alexandar , Craig, Fiona E. , Kelemen, Katalin, King, Rebecca L. , Reichard, Kaaren K. , Wang, Sa A. , Horny, Hans-Peter, Heffler, Enrico , Tzankov, Alexandar , Duncavage, Eric James , Orazi, Attilio , Quintanilla‐Martínez, Leticia , Rimsza, Lisa M. , George, Tracy I.

American Journal of Clinical Pathology | August 28, 2020 | Volume: 155 | Issue: 2 | Pages: 239-266

10.1093/ajcp/aqaa183 Get It

Abstract Objectives The 2019 Workshop of the Society for Hematopathology/European Association for Haematopathology received and reviewed cases covering the spectrum of mastocytosis and related diseases, including morphologic mimics, focusing on recent updates and relevant findings for pathologists. Methods The workshop panel reviewed 99 cases of cutaneous and systemic mastocytosis (SM) and SM and associated hematologic neoplasms (SM-AHN). Results Despite a common theme of KIT mutation (particularly D816V), mastocytosis is a heterogeneous neoplasm with a wide variety of presentations. This spectrum, including rare subtypes and extramedullary organ involvement, is discussed and illustrated by representative cases. Conclusions In the age of targeted treatment aimed at KIT, the accurate diagnosis and classification of mastocytosis has major implications for therapy and further interventions. Understanding the clinical, pathologic, and genetic findings of mastocytosis is crucial for selecting the proper tests to perform and subsequent arrival at a correct diagnosis in this rare disease.