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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,...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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. |
format | Online Article Text |
id | pubmed-9975323 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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