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Modelling predicts differences in chimeric antigen receptor T-cell signalling due to biological variability

In recent decades, chimeric antigen receptors (CARs) have been successfully used to generate engineered T cells capable of recognizing and eliminating cancer cells. The structure of CARs typically includes costimulatory domains, which enhance the T-cell response upon antigen encounter. However, it i...

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Detalles Bibliográficos
Autores principales: Tserunyan, Vardges, Finley, Stacey D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399690/
https://www.ncbi.nlm.nih.gov/pubmed/36039281
http://dx.doi.org/10.1098/rsos.220137
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author Tserunyan, Vardges
Finley, Stacey D.
author_facet Tserunyan, Vardges
Finley, Stacey D.
author_sort Tserunyan, Vardges
collection PubMed
description In recent decades, chimeric antigen receptors (CARs) have been successfully used to generate engineered T cells capable of recognizing and eliminating cancer cells. The structure of CARs typically includes costimulatory domains, which enhance the T-cell response upon antigen encounter. However, it is not fully known how those co-stimulatory domains influence cell activation in the presence of biological variability. In this work, we used mathematical modelling to elucidate how the inclusion of one such costimulatory molecule, CD28, impacts the response of a population of CAR T cells under different sources of variability. Particularly, we demonstrate that CD28-bearing CARs mediate a faster and more consistent population response under both target antigen variability and kinetic rate variability. Next, we identify kinetic parameters that have the most impact on cell response time. Finally, based on our findings, we propose that enhancing the catalytic activity of lymphocyte-specific protein tyrosine kinase can result in drastically reduced and more consistent response times among heterogeneous CAR T-cell populations.
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spelling pubmed-93996902022-08-28 Modelling predicts differences in chimeric antigen receptor T-cell signalling due to biological variability Tserunyan, Vardges Finley, Stacey D. R Soc Open Sci Mathematics In recent decades, chimeric antigen receptors (CARs) have been successfully used to generate engineered T cells capable of recognizing and eliminating cancer cells. The structure of CARs typically includes costimulatory domains, which enhance the T-cell response upon antigen encounter. However, it is not fully known how those co-stimulatory domains influence cell activation in the presence of biological variability. In this work, we used mathematical modelling to elucidate how the inclusion of one such costimulatory molecule, CD28, impacts the response of a population of CAR T cells under different sources of variability. Particularly, we demonstrate that CD28-bearing CARs mediate a faster and more consistent population response under both target antigen variability and kinetic rate variability. Next, we identify kinetic parameters that have the most impact on cell response time. Finally, based on our findings, we propose that enhancing the catalytic activity of lymphocyte-specific protein tyrosine kinase can result in drastically reduced and more consistent response times among heterogeneous CAR T-cell populations. The Royal Society 2022-08-24 /pmc/articles/PMC9399690/ /pubmed/36039281 http://dx.doi.org/10.1098/rsos.220137 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Mathematics
Tserunyan, Vardges
Finley, Stacey D.
Modelling predicts differences in chimeric antigen receptor T-cell signalling due to biological variability
title Modelling predicts differences in chimeric antigen receptor T-cell signalling due to biological variability
title_full Modelling predicts differences in chimeric antigen receptor T-cell signalling due to biological variability
title_fullStr Modelling predicts differences in chimeric antigen receptor T-cell signalling due to biological variability
title_full_unstemmed Modelling predicts differences in chimeric antigen receptor T-cell signalling due to biological variability
title_short Modelling predicts differences in chimeric antigen receptor T-cell signalling due to biological variability
title_sort modelling predicts differences in chimeric antigen receptor t-cell signalling due to biological variability
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399690/
https://www.ncbi.nlm.nih.gov/pubmed/36039281
http://dx.doi.org/10.1098/rsos.220137
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