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Combinatorial biomarker for predicting outcomes to anti-PD-1 therapy in patients with metastatic clear cell renal cell carcinoma

With a rapidly developing immunotherapeutic landscape for patients with metastatic clear cell renal cell carcinoma, biomarkers of efficacy are highly desirable to guide treatment strategy. Hematoxylin and eosin (H&E)-stained slides are inexpensive and widely available in pathology laboratories,...

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Detalles Bibliográficos
Autores principales: Deutsch, Julie Stein, Lipson, Evan J., Danilova, Ludmila, Topalian, Suzanne L., Jedrych, Jaroslaw, Baraban, Ezra, Ged, Yasser, Singla, Nirmish, Choueiri, Toni K., Gupta, Saurabh, Motzer, Robert J., McDermott, David, Signoretti, Sabina, Atkins, Michael, Taube, Janis M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975323/
https://www.ncbi.nlm.nih.gov/pubmed/36812889
http://dx.doi.org/10.1016/j.xcrm.2023.100947
Descripción
Sumario:With a rapidly developing immunotherapeutic landscape for patients with metastatic clear cell renal cell carcinoma, biomarkers of efficacy are highly desirable to guide treatment strategy. Hematoxylin and eosin (H&E)-stained slides are inexpensive and widely available in pathology laboratories, including in resource-poor settings. Here, H&E scoring of tumor-infiltrating immune cells (TIL(plus)) in pre-treatment tumor specimens using light microscopy is associated with improved overall survival (OS) in three independent cohorts of patients receiving immune checkpoint blockade. Necrosis score alone does not associate with OS; however, necrosis modifies the predictive effect of TIL(plus), a finding that has broad translational relevance for tissue-based biomarker development. PBRM1 mutational status is combined with H&E scores to further refine outcome predictions (OS, p = 0.007, and objective response, p = 0.04). These findings bring H&E assessment to the fore for biomarker development in future prospective, randomized trials, and emerging multi-omics classifiers.