Literature DB >> 24759513

A dynamical model of tumour immunotherapy.

Federico Frascoli1, Peter S Kim2, Barry D Hughes3, Kerry A Landman3.   

Abstract

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 T 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 discussed. 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 volume must surpass a threshold size that depends on lymphocyte parameters for the cancer to be completely 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.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cancer; Dynamical systems; Finite-time tumour elimination; Immunotherapy; Ordinary differential equations

Mesh:

Substances:

Year:  2014        PMID: 24759513     DOI: 10.1016/j.mbs.2014.04.003

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  6 in total

1.  Mathematical model reveals how regulating the three phases of T-cell response could counteract immune evasion.

Authors:  Tommaso Lorenzi; Rebecca H Chisholm; Matteo Melensi; Alexander Lorz; Marcello Delitala
Journal:  Immunology       Date:  2015-08-02       Impact factor: 7.397

Review 2.  Mathematical modeling of tumor-immune cell interactions.

Authors:  Grace E Mahlbacher; Kara C Reihmer; Hermann B Frieboes
Journal:  J Theor Biol       Date:  2019-03-02       Impact factor: 2.691

3.  Mathematical deconvolution of CAR T-cell proliferation and exhaustion from real-time killing assay data.

Authors:  Prativa Sahoo; Xin Yang; Daniel Abler; Davide Maestrini; Vikram Adhikarla; David Frankhouser; Heyrim Cho; Vanessa Machuca; Dongrui Wang; Michael Barish; Margarita Gutova; Sergio Branciamore; Christine E Brown; Russell C Rockne
Journal:  J R Soc Interface       Date:  2020-01-15       Impact factor: 4.118

4.  Mathematical Modelling Based on In Vivo Imaging Suggests CD137-Stimulated Cytotoxic T Lymphocytes Exert Superior Tumour Control Due to an Enhanced Antimitotic Effect on Tumour Cells.

Authors:  Richard J Beck; Bettina Weigelin; Joost B Beltman
Journal:  Cancers (Basel)       Date:  2021-05-24       Impact factor: 6.639

5.  Global dynamics of a colorectal cancer treatment model with cancer stem cells.

Authors:  Kristen Abernathy; Zachary Abernathy; Kelsey Brown; Claire Burgess; Rebecca Hoehne
Journal:  Heliyon       Date:  2017-02-13

6.  Data-Driven Mathematical Model of Osteosarcoma.

Authors:  Trang Le; Sumeyye Su; Arkadz Kirshtein; Leili Shahriyari
Journal:  Cancers (Basel)       Date:  2021-05-14       Impact factor: 6.639

  6 in total

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