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A dynamical model of tumour immunotherapy

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posted on 2024-07-26, 13:53 authored by Federico FrascoliFederico Frascoli, Peter S. Kim, Barry D. Hughes, Kerry A. Landman
A coupled ordinary differential equation model of tumour-immune dynamics is presented and analysed. The model accounts for biological and clinical factors which regulate the interaction rates of cytotoxic lymphocytes on the surface of the tumour mass. A phase plane analysis demonstrates that competition between tumour cells and lymphocytes can result in tumour eradication, perpetual oscillations, or unbounded solutions. To investigate the dependence of the dynamic behaviour on model parameters, the equations are solved analytically and conditions for unbounded versus bounded solutions are dis- cussed. An analytic characterisation of the basin of attraction for oscillatory orbits is given. It is also shown that the tumour shape, characterised by a surface area to volume scaling factor, influences the size of the basin, with significant consequences for therapy design. The findings reveal that the tumour vol- ume must surpass a threshold size that depends on lymphocyte parameters for the cancer to be com- pletely eliminated. A semi-analytic procedure to calculate oscillation periods and determine their sensitivity to model parameters is also presented. Numerical results show that the period of oscillations exhibits notable nonlinear dependence on biologically relevant conditions.

Funding

Australian Research Council

History

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PDF (Accepted manuscript)

ISSN

0025-5564

Journal title

Mathematical Biosciences

Volume

253

Issue

1

Pagination

12 pp

Publisher

Elsevier

Copyright statement

Copyright © 2014 Published by Elsevier Inc. This is the accepted manuscript of a work that was accepted for publication in Mathematical Biosciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Mathematical Biosciences, vol. 253, (Jul 2014), DOI: 10.1016/j.mbs.2014.04.003

Language

eng

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