Sigal2019 - Mathematical modelling of cancer stem cell-targeted immunotherapy

Model Identifier
MODEL1911270001
Short description
This is a mathematical model studies how specific immune system components, namely dendritic cells and cytotoxic T-cells, interact with different cancer cell types, specifically cancer stem cells (CSCs) and non-CSCs. The effects of two types of immunotherapy are modeled, namely dendritic cell vaccines and T-cell adoptive therapy.
Format
SBML
(L2V4)
Related Publication
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Mathematical modelling of cancer stem cell-targeted immunotherapy.
- Sigal D, Przedborski M, Sivaloganathan D, Kohandel M
- Mathematical biosciences , 12/ 2019 , Volume 318 , pages: 108269 , PubMed ID: 31622595
- Schulich School of Medicine and Dentistry, University of Western Ontario, ON N6A 3K7 Canada.
- The cancer stem cell hypothesis states that tumors are heterogeneous and comprised of several different cell types that have a range of reproductive potentials. Cancer stem cells (CSCs), represent one class of cells that has both reproductive potential and the ability to differentiate. These cells are thought to drive the progression of aggressive and recurring cancers since they give rise to all other constituent cells within a tumor. With the development of immunotherapy in the last decade, the specific targeting of CSCs has become feasible and presents a novel therapeutic approach. In this paper, we construct a mathematical model to study how specific components of the immune system, namely dendritic cells and cytotoxic T-cells interact with different cancer cell types (CSCs and non-CSCs). Using a system of ordinary differential equations, we model the effects of immunotherapy, specifically dendritic cell vaccines and T-cell adoptive therapy, on tumor growth, with and without chemotherapy. The model reproduces several results observed in the literature, including temporal measurements of tumor size from in vivo experiments, and it is used to predict the optimal treatment schedule when combining different treatment modalities. Importantly, the model also demonstrates that chemotherapy increases tumorigenicity whereas CSC-targeted immunotherapy decreases it.
Contributors
Submitter of the first revision: Johannes Meyer
Submitter of this revision: Johannes Meyer
Modellers: Johannes Meyer
Submitter of this revision: Johannes Meyer
Modellers: Johannes Meyer
Metadata information
hasTaxon (1 statement)
hasProperty (4 statements)
hasProperty (4 statements)
Mathematical Modelling Ontology
Ordinary differential equation model
NCIt Cancer Immunotherapy
NCIt Adoptive Immunotherapy
NCIt Cancer Stem Cell
NCIt Cancer Immunotherapy
NCIt Adoptive Immunotherapy
NCIt Cancer Stem Cell
Curation status
Non-curated
Modelling approach(es)
Tags
Connected external resources
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Model files |
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Sigal2019.xml | SBML L2V4 Representation of Sigal2019 - Mathematical modelling of cancer stem cell-targeted immunotherapy | 61.03 KB | Preview | Download |
Additional files |
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Sigal2019.cps | COPASI file of Sigal2019 - Mathematical modelling of cancer stem cell-targeted immunotherapy | 123.10 KB | Preview | Download |