Mathematical Model Creation for Cancer Chemo-Immunotherapy

Author:

de Pillis Lisette1,Fister K. Renee2,Gu Weiqing1,Collins Craig3,Daub Michael4,Gross David5,Moore James5,Preskill Benjamin5

Affiliation:

1. Department of Mathematics, Harvey Mudd College, Claremont, CA, USA

2. Department of Mathematics, Murray State University, Murray, KY, USA

3. Murray State University, Murray, KY, USA

4. Williams College, Williamstown, MA, USA

5. Harvey Mudd College, Claremont, CA, USA

Abstract

One of the most challenging tasks in constructing a mathematical model of cancer treatment is the calculation of biological parameters from empirical data. This task becomes increasingly difficult if a model involves several cell populations and treatment modalities. A sophisticated model constructed by de Pilliset al.,Mixed immunotherapy and chemotherapy of tumours: Modelling, applications and biological interpretations, J. Theor. Biol. 238 (2006), pp. 841–862; involves tumour cells, specific and non-specific immune cells (natural killer (NK) cells, CD8+T cells and other lymphocytes) and employs chemotherapy and two types of immunotherapy (IL-2 supplementation and CD8+T-cell infusion) as treatment modalities. Despite the overall success of the aforementioned model, the problem of illustrating the effects of IL-2 on a growing tumour remains open. In this paper, we update the model of de Pilliset al.and then carefully identify appropriate values for the parameters of the new model according to recent empirical data. We determine new NK and tumour antigen-activated CD8+T-cell count equilibrium values; we complete IL-2 dynamics; and we modify the model in de Pilliset al.to allow for endogenous IL-2 production, IL-2-stimulated NK cell proliferation and IL-2-dependent CD8+T-cell self-regulations. Finally, we show that the potential patient-specific efficacy of immunotherapy may be dependent on experimentally determinable parameters.

Funder

National Science Foundation

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modelling and Simulation,General Medicine

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