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Discrete and continuum models for the coevolutionary dynamics between CD8+ cytotoxic T lymphocytes and tumour cells.

Authors :
Almeida L
Audebert C
Leschiera E
Lorenzi T
Source :
Mathematical medicine and biology : a journal of the IMA [Math Med Biol] 2023 Jun 14; Vol. 40 (2), pp. 141-174.
Publication Year :
2023

Abstract

We present an individual-based model for the coevolutionary dynamics between CD8+ cytotoxic T lymphocytes (CTLs) and tumour cells. In this model, every cell is viewed as an individual agent whose phenotypic state is modelled by a discrete variable. For tumour cells, this variable represents a parameterization of the antigen expression profiles, while for CTLs it represents a parameterization of the target antigens of T-cell receptors (TCRs). We formally derive the deterministic continuum limit of this individual-based model, which comprises a non-local partial differential equation for the phenotype distribution of tumour cells coupled with an integro-differential equation for the phenotype distribution of CTLs. The biologically relevant homogeneous steady-state solutions of the continuum model equations are found. The linear-stability analysis of these steady-state solutions is then carried out in order to identify possible conditions on the model parameters that may lead to different outcomes of immune competition and to the emergence of patterns of phenotypic coevolution between tumour cells and CTLs. We report on computational results of the individual-based model, and show that there is a good agreement between them and analytical and numerical results of the continuum model. These results shed light on the way in which different parameters affect the coevolutionary dynamics between tumour cells and CTLs. Moreover, they support the idea that TCR-tumour antigen binding affinity may be a good intervention target for immunotherapy and offer a theoretical basis for the development of anti-cancer therapy aiming at engineering TCRs so as to shape their affinity for cancer targets.<br /> (© The Author(s) 2023. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.)

Details

Language :
English
ISSN :
1477-8602
Volume :
40
Issue :
2
Database :
MEDLINE
Journal :
Mathematical medicine and biology : a journal of the IMA
Publication Type :
Academic Journal
Accession number :
36469427
Full Text :
https://doi.org/10.1093/imammb/dqac017