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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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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
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author 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.
author_facet 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.
author_sort Deutsch, Julie Stein
collection PubMed
description 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.
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spelling pubmed-99753232023-03-02 Combinatorial biomarker for predicting outcomes to anti-PD-1 therapy in patients with metastatic clear cell renal cell carcinoma 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. Cell Rep Med Report 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. Elsevier 2023-02-21 /pmc/articles/PMC9975323/ /pubmed/36812889 http://dx.doi.org/10.1016/j.xcrm.2023.100947 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Report
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.
Combinatorial biomarker for predicting outcomes to anti-PD-1 therapy in patients with metastatic clear cell renal cell carcinoma
title Combinatorial biomarker for predicting outcomes to anti-PD-1 therapy in patients with metastatic clear cell renal cell carcinoma
title_full Combinatorial biomarker for predicting outcomes to anti-PD-1 therapy in patients with metastatic clear cell renal cell carcinoma
title_fullStr Combinatorial biomarker for predicting outcomes to anti-PD-1 therapy in patients with metastatic clear cell renal cell carcinoma
title_full_unstemmed Combinatorial biomarker for predicting outcomes to anti-PD-1 therapy in patients with metastatic clear cell renal cell carcinoma
title_short Combinatorial biomarker for predicting outcomes to anti-PD-1 therapy in patients with metastatic clear cell renal cell carcinoma
title_sort combinatorial biomarker for predicting outcomes to anti-pd-1 therapy in patients with metastatic clear cell renal cell carcinoma
topic Report
url 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
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