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Time to evolve: predicting engineered T cell-associated toxicity with next-generation models

Despite promising clinical results in a small subset of malignancies, therapies based on engineered chimeric antigen receptor and T-cell receptor T cells are associated with serious adverse events, including cytokine release syndrome and neurotoxicity. These toxicities are sometimes so severe that t...

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Autores principales: Donnadieu, Emmanuel, Luu, Maik, Alb, Miriam, Anliker, Brigitte, Arcangeli, Silvia, Bonini, Chiara, De Angelis, Biagio, Choudhary, Rashmi, Espie, David, Galy, Anne, Holland, Cam, Ivics, Zoltán, Kantari-Mimoun, Chahrazade, Kersten, Marie Jose, Köhl, Ulrike, Kuhn, Chantal, Laugel, Bruno, Locatelli, Franco, Marchiq, Ibtissam, Markman, Janet, Moresco, Marta Angiola, Morris, Emma, Negre, Helene, Quintarelli, Concetta, Rade, Michael, Reiche, Kristin, Renner, Matthias, Ruggiero, Eliana, Sanges, Carmen, Stauss, Hans, Themeli, Maria, Van den Brulle, Jan, Hudecek, Michael, Casucci, Monica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115021/
https://www.ncbi.nlm.nih.gov/pubmed/35577500
http://dx.doi.org/10.1136/jitc-2021-003486
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author Donnadieu, Emmanuel
Luu, Maik
Alb, Miriam
Anliker, Brigitte
Arcangeli, Silvia
Bonini, Chiara
De Angelis, Biagio
Choudhary, Rashmi
Espie, David
Galy, Anne
Holland, Cam
Ivics, Zoltán
Kantari-Mimoun, Chahrazade
Kersten, Marie Jose
Köhl, Ulrike
Kuhn, Chantal
Laugel, Bruno
Locatelli, Franco
Marchiq, Ibtissam
Markman, Janet
Moresco, Marta Angiola
Morris, Emma
Negre, Helene
Quintarelli, Concetta
Rade, Michael
Reiche, Kristin
Renner, Matthias
Ruggiero, Eliana
Sanges, Carmen
Stauss, Hans
Themeli, Maria
Van den Brulle, Jan
Hudecek, Michael
Casucci, Monica
author_facet Donnadieu, Emmanuel
Luu, Maik
Alb, Miriam
Anliker, Brigitte
Arcangeli, Silvia
Bonini, Chiara
De Angelis, Biagio
Choudhary, Rashmi
Espie, David
Galy, Anne
Holland, Cam
Ivics, Zoltán
Kantari-Mimoun, Chahrazade
Kersten, Marie Jose
Köhl, Ulrike
Kuhn, Chantal
Laugel, Bruno
Locatelli, Franco
Marchiq, Ibtissam
Markman, Janet
Moresco, Marta Angiola
Morris, Emma
Negre, Helene
Quintarelli, Concetta
Rade, Michael
Reiche, Kristin
Renner, Matthias
Ruggiero, Eliana
Sanges, Carmen
Stauss, Hans
Themeli, Maria
Van den Brulle, Jan
Hudecek, Michael
Casucci, Monica
author_sort Donnadieu, Emmanuel
collection PubMed
description Despite promising clinical results in a small subset of malignancies, therapies based on engineered chimeric antigen receptor and T-cell receptor T cells are associated with serious adverse events, including cytokine release syndrome and neurotoxicity. These toxicities are sometimes so severe that they significantly hinder the implementation of this therapeutic strategy. For a long time, existing preclinical models failed to predict severe toxicities seen in human clinical trials after engineered T-cell infusion. However, in recent years, there has been a concerted effort to develop models, including humanized mouse models, which can better recapitulate toxicities observed in patients. The Accelerating Development and Improving Access to CAR and TCR-engineered T cell therapy (T2EVOLVE) consortium is a public–private partnership directed at accelerating the preclinical development and increasing access to engineered T-cell therapy for patients with cancer. A key ambition in T2EVOLVE is to design new models and tools with higher predictive value for clinical safety and efficacy, in order to improve and accelerate the selection of lead T-cell products for clinical translation. Herein, we review existing preclinical models that are used to test the safety of engineered T cells. We will also highlight limitations of these models and propose potential measures to improve them.
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spelling pubmed-91150212022-06-04 Time to evolve: predicting engineered T cell-associated toxicity with next-generation models Donnadieu, Emmanuel Luu, Maik Alb, Miriam Anliker, Brigitte Arcangeli, Silvia Bonini, Chiara De Angelis, Biagio Choudhary, Rashmi Espie, David Galy, Anne Holland, Cam Ivics, Zoltán Kantari-Mimoun, Chahrazade Kersten, Marie Jose Köhl, Ulrike Kuhn, Chantal Laugel, Bruno Locatelli, Franco Marchiq, Ibtissam Markman, Janet Moresco, Marta Angiola Morris, Emma Negre, Helene Quintarelli, Concetta Rade, Michael Reiche, Kristin Renner, Matthias Ruggiero, Eliana Sanges, Carmen Stauss, Hans Themeli, Maria Van den Brulle, Jan Hudecek, Michael Casucci, Monica J Immunother Cancer Review Despite promising clinical results in a small subset of malignancies, therapies based on engineered chimeric antigen receptor and T-cell receptor T cells are associated with serious adverse events, including cytokine release syndrome and neurotoxicity. These toxicities are sometimes so severe that they significantly hinder the implementation of this therapeutic strategy. For a long time, existing preclinical models failed to predict severe toxicities seen in human clinical trials after engineered T-cell infusion. However, in recent years, there has been a concerted effort to develop models, including humanized mouse models, which can better recapitulate toxicities observed in patients. The Accelerating Development and Improving Access to CAR and TCR-engineered T cell therapy (T2EVOLVE) consortium is a public–private partnership directed at accelerating the preclinical development and increasing access to engineered T-cell therapy for patients with cancer. A key ambition in T2EVOLVE is to design new models and tools with higher predictive value for clinical safety and efficacy, in order to improve and accelerate the selection of lead T-cell products for clinical translation. Herein, we review existing preclinical models that are used to test the safety of engineered T cells. We will also highlight limitations of these models and propose potential measures to improve them. BMJ Publishing Group 2022-05-16 /pmc/articles/PMC9115021/ /pubmed/35577500 http://dx.doi.org/10.1136/jitc-2021-003486 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Review
Donnadieu, Emmanuel
Luu, Maik
Alb, Miriam
Anliker, Brigitte
Arcangeli, Silvia
Bonini, Chiara
De Angelis, Biagio
Choudhary, Rashmi
Espie, David
Galy, Anne
Holland, Cam
Ivics, Zoltán
Kantari-Mimoun, Chahrazade
Kersten, Marie Jose
Köhl, Ulrike
Kuhn, Chantal
Laugel, Bruno
Locatelli, Franco
Marchiq, Ibtissam
Markman, Janet
Moresco, Marta Angiola
Morris, Emma
Negre, Helene
Quintarelli, Concetta
Rade, Michael
Reiche, Kristin
Renner, Matthias
Ruggiero, Eliana
Sanges, Carmen
Stauss, Hans
Themeli, Maria
Van den Brulle, Jan
Hudecek, Michael
Casucci, Monica
Time to evolve: predicting engineered T cell-associated toxicity with next-generation models
title Time to evolve: predicting engineered T cell-associated toxicity with next-generation models
title_full Time to evolve: predicting engineered T cell-associated toxicity with next-generation models
title_fullStr Time to evolve: predicting engineered T cell-associated toxicity with next-generation models
title_full_unstemmed Time to evolve: predicting engineered T cell-associated toxicity with next-generation models
title_short Time to evolve: predicting engineered T cell-associated toxicity with next-generation models
title_sort time to evolve: predicting engineered t cell-associated toxicity with next-generation models
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115021/
https://www.ncbi.nlm.nih.gov/pubmed/35577500
http://dx.doi.org/10.1136/jitc-2021-003486
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