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A model‐based approach leveraging in vitro data to support dose selection from the outset: A framework for bispecific antibodies in immuno‐oncology

FAP‐4‐1BBL is a bispecific antibody exerting 4‐1BB‐associated T‐cell activation only while simultaneously bound to the fibroblast activation protein (FAP) receptor, expressed on the surface of cancer‐associated fibroblasts. The trimeric complex formed when FAP‐4‐1BBL is simultaneously bound to FAP a...

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Autores principales: Sánchez, Javier, Claus, Christina, Albrecht, Rosmarie, Gaillard, Brenda C., Marinho, Joana, McIntyre, Christine, Tanos, Tamara, Boehnke, Axel, Friberg, Lena E., Jönsson, Siv, Frances, Nicolas
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/PMC10681425/
https://www.ncbi.nlm.nih.gov/pubmed/37964753
http://dx.doi.org/10.1002/psp4.13065
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author Sánchez, Javier
Claus, Christina
Albrecht, Rosmarie
Gaillard, Brenda C.
Marinho, Joana
McIntyre, Christine
Tanos, Tamara
Boehnke, Axel
Friberg, Lena E.
Jönsson, Siv
Frances, Nicolas
author_facet Sánchez, Javier
Claus, Christina
Albrecht, Rosmarie
Gaillard, Brenda C.
Marinho, Joana
McIntyre, Christine
Tanos, Tamara
Boehnke, Axel
Friberg, Lena E.
Jönsson, Siv
Frances, Nicolas
author_sort Sánchez, Javier
collection PubMed
description FAP‐4‐1BBL is a bispecific antibody exerting 4‐1BB‐associated T‐cell activation only while simultaneously bound to the fibroblast activation protein (FAP) receptor, expressed on the surface of cancer‐associated fibroblasts. The trimeric complex formed when FAP‐4‐1BBL is simultaneously bound to FAP and 4‐1BB represents a promising mechanism to achieve tumor‐specific 4‐1BB stimulation. We integrated in vitro data with mathematical modeling to characterize the pharmacology of FAP‐4‐1BBL as a function of trimeric complex formation when combined with the T‐cell engager cibisatamab. This relationship was used to prospectively predict a range of clinical doses where trimeric complex formation is expected to be at its maximum. Depending on the dosing schedule and FAP‐4‐1BBL plasma: tumor distribution, doses between 2 and 145 mg could lead to maximum trimeric complex formation in the clinic. Due to the expected variability in both pharmacokinetic and FAP expression in the patient population, we predict that detecting a clear dose–response relationship would remain difficult without a large number of patients per dose level, highlighting that mathematical modeling techniques based on in vitro data could aid dose selection.
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spelling pubmed-106814252023-11-15 A model‐based approach leveraging in vitro data to support dose selection from the outset: A framework for bispecific antibodies in immuno‐oncology Sánchez, Javier Claus, Christina Albrecht, Rosmarie Gaillard, Brenda C. Marinho, Joana McIntyre, Christine Tanos, Tamara Boehnke, Axel Friberg, Lena E. Jönsson, Siv Frances, Nicolas CPT Pharmacometrics Syst Pharmacol Research FAP‐4‐1BBL is a bispecific antibody exerting 4‐1BB‐associated T‐cell activation only while simultaneously bound to the fibroblast activation protein (FAP) receptor, expressed on the surface of cancer‐associated fibroblasts. The trimeric complex formed when FAP‐4‐1BBL is simultaneously bound to FAP and 4‐1BB represents a promising mechanism to achieve tumor‐specific 4‐1BB stimulation. We integrated in vitro data with mathematical modeling to characterize the pharmacology of FAP‐4‐1BBL as a function of trimeric complex formation when combined with the T‐cell engager cibisatamab. This relationship was used to prospectively predict a range of clinical doses where trimeric complex formation is expected to be at its maximum. Depending on the dosing schedule and FAP‐4‐1BBL plasma: tumor distribution, doses between 2 and 145 mg could lead to maximum trimeric complex formation in the clinic. Due to the expected variability in both pharmacokinetic and FAP expression in the patient population, we predict that detecting a clear dose–response relationship would remain difficult without a large number of patients per dose level, highlighting that mathematical modeling techniques based on in vitro data could aid dose selection. John Wiley and Sons Inc. 2023-11-15 /pmc/articles/PMC10681425/ /pubmed/37964753 http://dx.doi.org/10.1002/psp4.13065 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 Research
Sánchez, Javier
Claus, Christina
Albrecht, Rosmarie
Gaillard, Brenda C.
Marinho, Joana
McIntyre, Christine
Tanos, Tamara
Boehnke, Axel
Friberg, Lena E.
Jönsson, Siv
Frances, Nicolas
A model‐based approach leveraging in vitro data to support dose selection from the outset: A framework for bispecific antibodies in immuno‐oncology
title A model‐based approach leveraging in vitro data to support dose selection from the outset: A framework for bispecific antibodies in immuno‐oncology
title_full A model‐based approach leveraging in vitro data to support dose selection from the outset: A framework for bispecific antibodies in immuno‐oncology
title_fullStr A model‐based approach leveraging in vitro data to support dose selection from the outset: A framework for bispecific antibodies in immuno‐oncology
title_full_unstemmed A model‐based approach leveraging in vitro data to support dose selection from the outset: A framework for bispecific antibodies in immuno‐oncology
title_short A model‐based approach leveraging in vitro data to support dose selection from the outset: A framework for bispecific antibodies in immuno‐oncology
title_sort model‐based approach leveraging in vitro data to support dose selection from the outset: a framework for bispecific antibodies in immuno‐oncology
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681425/
https://www.ncbi.nlm.nih.gov/pubmed/37964753
http://dx.doi.org/10.1002/psp4.13065
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