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Model‐informed drug development of autologous CAR‐T cell therapy: Strategies to optimize CAR‐T cell exposure leveraging cell kinetic/dynamic modeling

Autologous Chimeric antigen receptor (CAR‐T) cell therapy has been highly successful in the treatment of aggressive hematological malignancies and is also being evaluated for the treatment of solid tumors as well as other therapeutic areas. A challenge, however, is that up to 60% of patients do not...

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Autores principales: Mc Laughlin, Anna M., Milligan, Peter A., Yee, Cassian, Bergstrand, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681459/
https://www.ncbi.nlm.nih.gov/pubmed/37448343
http://dx.doi.org/10.1002/psp4.13011
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author Mc Laughlin, Anna M.
Milligan, Peter A.
Yee, Cassian
Bergstrand, Martin
author_facet Mc Laughlin, Anna M.
Milligan, Peter A.
Yee, Cassian
Bergstrand, Martin
author_sort Mc Laughlin, Anna M.
collection PubMed
description Autologous Chimeric antigen receptor (CAR‐T) cell therapy has been highly successful in the treatment of aggressive hematological malignancies and is also being evaluated for the treatment of solid tumors as well as other therapeutic areas. A challenge, however, is that up to 60% of patients do not sustain a long‐term response. Low CAR‐T cell exposure has been suggested as an underlying factor for a poor prognosis. CAR‐T cell therapy is a novel therapeutic modality with unique kinetic and dynamic properties. Importantly, “clear” dose‐exposure relationships do not seem to exist for any of the currently approved CAR‐T cell products. In other words, dose increases have not led to a commensurate increase in the measurable in vivo frequency of transferred CAR‐T cells. Therefore, alternative approaches beyond dose titration are needed to optimize CAR‐T cell exposure. In this paper, we provide examples of actionable variables – design elements in CAR‐T cell discovery, development, and clinical practice, which can be modified to optimize autologous CAR‐T cell exposure. Most of these actionable variables can be assessed throughout the various stages of discovery and development as part of a well‐informed research and development program. Model‐informed drug development approaches can enable such study and program design choices from discovery through to clinical practice and can be an important contributor to cell therapy effectiveness and efficiency.
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spelling pubmed-106814592023-07-28 Model‐informed drug development of autologous CAR‐T cell therapy: Strategies to optimize CAR‐T cell exposure leveraging cell kinetic/dynamic modeling Mc Laughlin, Anna M. Milligan, Peter A. Yee, Cassian Bergstrand, Martin CPT Pharmacometrics Syst Pharmacol Reviews Autologous Chimeric antigen receptor (CAR‐T) cell therapy has been highly successful in the treatment of aggressive hematological malignancies and is also being evaluated for the treatment of solid tumors as well as other therapeutic areas. A challenge, however, is that up to 60% of patients do not sustain a long‐term response. Low CAR‐T cell exposure has been suggested as an underlying factor for a poor prognosis. CAR‐T cell therapy is a novel therapeutic modality with unique kinetic and dynamic properties. Importantly, “clear” dose‐exposure relationships do not seem to exist for any of the currently approved CAR‐T cell products. In other words, dose increases have not led to a commensurate increase in the measurable in vivo frequency of transferred CAR‐T cells. Therefore, alternative approaches beyond dose titration are needed to optimize CAR‐T cell exposure. In this paper, we provide examples of actionable variables – design elements in CAR‐T cell discovery, development, and clinical practice, which can be modified to optimize autologous CAR‐T cell exposure. Most of these actionable variables can be assessed throughout the various stages of discovery and development as part of a well‐informed research and development program. Model‐informed drug development approaches can enable such study and program design choices from discovery through to clinical practice and can be an important contributor to cell therapy effectiveness and efficiency. John Wiley and Sons Inc. 2023-07-28 /pmc/articles/PMC10681459/ /pubmed/37448343 http://dx.doi.org/10.1002/psp4.13011 Text en © 2023 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Reviews
Mc Laughlin, Anna M.
Milligan, Peter A.
Yee, Cassian
Bergstrand, Martin
Model‐informed drug development of autologous CAR‐T cell therapy: Strategies to optimize CAR‐T cell exposure leveraging cell kinetic/dynamic modeling
title Model‐informed drug development of autologous CAR‐T cell therapy: Strategies to optimize CAR‐T cell exposure leveraging cell kinetic/dynamic modeling
title_full Model‐informed drug development of autologous CAR‐T cell therapy: Strategies to optimize CAR‐T cell exposure leveraging cell kinetic/dynamic modeling
title_fullStr Model‐informed drug development of autologous CAR‐T cell therapy: Strategies to optimize CAR‐T cell exposure leveraging cell kinetic/dynamic modeling
title_full_unstemmed Model‐informed drug development of autologous CAR‐T cell therapy: Strategies to optimize CAR‐T cell exposure leveraging cell kinetic/dynamic modeling
title_short Model‐informed drug development of autologous CAR‐T cell therapy: Strategies to optimize CAR‐T cell exposure leveraging cell kinetic/dynamic modeling
title_sort model‐informed drug development of autologous car‐t cell therapy: strategies to optimize car‐t cell exposure leveraging cell kinetic/dynamic modeling
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681459/
https://www.ncbi.nlm.nih.gov/pubmed/37448343
http://dx.doi.org/10.1002/psp4.13011
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