Literature DB >> 31493486

A mathematical model for the immune-mediated theory of metastasis.

Adam Rhodes1, Thomas Hillen2.   

Abstract

Accumulating experimental and clinical evidence suggest that the immune response to cancer is not exclusively anti-tumor. Indeed, the pro-tumor roles of the immune system  -  as suppliers of growth and pro-angiogenic factors or defenses against cytotoxic immune attacks, for example  -  have been long appreciated, but relatively few theoretical works have considered their effects. Inspired by the recently proposed "immune-mediated" theory of metastasis, we develop a mathematical model for tumor-immune interactions at two anatomically distant sites, which includes both anti- and pro-tumor immune effects, and the experimentally observed tumor-induced phenotypic plasticity of immune cells (tumor "education" of the immune cells). Upon confrontation of our model to experimental data, we use it to evaluate the implications of the immune-mediated theory of metastasis. We find that tumor education of immune cells may explain the relatively poor performance of immunotherapies, and that many metastatic phenomena, including metastatic blow-up, dormancy, and metastasis to sites of injury, can be explained by the immune-mediated theory of metastasis. Our results suggest that further work is warranted to fully elucidate the pro-tumor effects of the immune system in metastatic cancer.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Immune response; Immunotherapies; Metastasis; Metastatic cascade; Ordinary differential equations

Mesh:

Year:  2019        PMID: 31493486     DOI: 10.1016/j.jtbi.2019.109999

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  2 in total

1.  Modeling cancer immunoediting in tumor microenvironment with system characterization through the ising-model Hamiltonian.

Authors:  Alfonso Rojas-Domínguez; Renato Arroyo-Duarte; Fernando Rincón-Vieyra; Matías Alvarado-Mentado
Journal:  BMC Bioinformatics       Date:  2022-05-30       Impact factor: 3.307

2.  Investigating key cell types and molecules dynamics in PyMT mice model of breast cancer through a mathematical model.

Authors:  Navid Mohammad Mirzaei; Navid Changizi; Alireza Asadpoure; Sumeyye Su; Dilruba Sofia; Zuzana Tatarova; Ioannis K Zervantonakis; Young Hwan Chang; Leili Shahriyari
Journal:  PLoS Comput Biol       Date:  2022-03-16       Impact factor: 4.475

  2 in total

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