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External validation of biomarkers for immune-related adverse events after immune checkpoint inhibition
Immune checkpoint inhibitors have revolutionized treatment of advanced melanoma, but commonly cause serious immune-mediated complications. The clinical ambition of reserving more aggressive therapies for patients least likely to experience immune-related adverse events (irAE) has driven an extensive...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556693/ https://www.ncbi.nlm.nih.gov/pubmed/36248910 http://dx.doi.org/10.3389/fimmu.2022.1011040 |
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author | Glehr, Gunther Riquelme, Paloma Yang Zhou, Jordi Cordero, Laura Schilling, Hannah-Lou Kapinsky, Michael Schlitt, Hans J. Geissler, Edward K. Burkhardt, Ralph Schmidt, Barbara Haferkamp, Sebastian Hutchinson, James A. Kronenberg, Katharina |
author_facet | Glehr, Gunther Riquelme, Paloma Yang Zhou, Jordi Cordero, Laura Schilling, Hannah-Lou Kapinsky, Michael Schlitt, Hans J. Geissler, Edward K. Burkhardt, Ralph Schmidt, Barbara Haferkamp, Sebastian Hutchinson, James A. Kronenberg, Katharina |
author_sort | Glehr, Gunther |
collection | PubMed |
description | Immune checkpoint inhibitors have revolutionized treatment of advanced melanoma, but commonly cause serious immune-mediated complications. The clinical ambition of reserving more aggressive therapies for patients least likely to experience immune-related adverse events (irAE) has driven an extensive search for predictive biomarkers. Here, we externally validate the performance of 59 previously reported markers of irAE risk in a new cohort of 110 patients receiving Nivolumab (anti-PD1) and Ipilimumab (anti-CTLA-4) therapy. Alone or combined, the discriminatory value of these routine clinical parameters and flow cytometry biomarkers was poor. Unsupervised clustering of flow cytometry data returned four T cell subsets with higher discriminatory capacity for colitis than previously reported populations, but they cannot be considered as reliable classifiers. Although mechanisms predisposing some patients to particular irAEs have been described, we are presently unable to capture adequate information from pre-therapy flow cytometry and clinical data to reliably predict risk of irAE in most cases. |
format | Online Article Text |
id | pubmed-9556693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95566932022-10-14 External validation of biomarkers for immune-related adverse events after immune checkpoint inhibition Glehr, Gunther Riquelme, Paloma Yang Zhou, Jordi Cordero, Laura Schilling, Hannah-Lou Kapinsky, Michael Schlitt, Hans J. Geissler, Edward K. Burkhardt, Ralph Schmidt, Barbara Haferkamp, Sebastian Hutchinson, James A. Kronenberg, Katharina Front Immunol Immunology Immune checkpoint inhibitors have revolutionized treatment of advanced melanoma, but commonly cause serious immune-mediated complications. The clinical ambition of reserving more aggressive therapies for patients least likely to experience immune-related adverse events (irAE) has driven an extensive search for predictive biomarkers. Here, we externally validate the performance of 59 previously reported markers of irAE risk in a new cohort of 110 patients receiving Nivolumab (anti-PD1) and Ipilimumab (anti-CTLA-4) therapy. Alone or combined, the discriminatory value of these routine clinical parameters and flow cytometry biomarkers was poor. Unsupervised clustering of flow cytometry data returned four T cell subsets with higher discriminatory capacity for colitis than previously reported populations, but they cannot be considered as reliable classifiers. Although mechanisms predisposing some patients to particular irAEs have been described, we are presently unable to capture adequate information from pre-therapy flow cytometry and clinical data to reliably predict risk of irAE in most cases. Frontiers Media S.A. 2022-09-29 /pmc/articles/PMC9556693/ /pubmed/36248910 http://dx.doi.org/10.3389/fimmu.2022.1011040 Text en Copyright © 2022 Glehr, Riquelme, Yang Zhou, Cordero, Schilling, Kapinsky, Schlitt, Geissler, Burkhardt, Schmidt, Haferkamp, Hutchinson and Kronenberg https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Glehr, Gunther Riquelme, Paloma Yang Zhou, Jordi Cordero, Laura Schilling, Hannah-Lou Kapinsky, Michael Schlitt, Hans J. Geissler, Edward K. Burkhardt, Ralph Schmidt, Barbara Haferkamp, Sebastian Hutchinson, James A. Kronenberg, Katharina External validation of biomarkers for immune-related adverse events after immune checkpoint inhibition |
title | External validation of biomarkers for immune-related adverse events after immune checkpoint inhibition |
title_full | External validation of biomarkers for immune-related adverse events after immune checkpoint inhibition |
title_fullStr | External validation of biomarkers for immune-related adverse events after immune checkpoint inhibition |
title_full_unstemmed | External validation of biomarkers for immune-related adverse events after immune checkpoint inhibition |
title_short | External validation of biomarkers for immune-related adverse events after immune checkpoint inhibition |
title_sort | external validation of biomarkers for immune-related adverse events after immune checkpoint inhibition |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556693/ https://www.ncbi.nlm.nih.gov/pubmed/36248910 http://dx.doi.org/10.3389/fimmu.2022.1011040 |
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