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Proceedings Paper

A mathematical model of the dynamics of antitumor laser immunotherapy
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Paper Abstract

We use a mathematical model to describe and predict the population dynamics of tumor cells, immune cells, and other immune components in a host undergoing laser immunotherapy treatment against metastatic cancer. We incorporate key elements of the treatment into the model: a function describing the laser-induced primary tumor cell death and parameters capturing the role and strength of the primary immunoadjuvant, glycated chitosan. We focus on identifying conditions that ensure a successful treatment. In particular, we study the patient response (i.e., anti-tumor immune dynamics and treatment outcome) in two different but related mathematical models as we vary quantitative features of the immune system (supply, proliferation, death, and interaction rates). We compare immune dynamics of a `baseline' immune model against an `augmented' model (with additional cell types and antibodies) and in both, we find that using strong immunoadjuvants, like glycated chitosan, that enhance dendritic cell activity yields more promising patient outcomes.

Paper Details

Date Published: 27 February 2014
PDF: 10 pages
Proc. SPIE 8944, Biophotonics and Immune Responses IX, 89440W (27 February 2014); doi: 10.1117/12.2041810
Show Author Affiliations
Bryan A. Dawkins, Univ. of Central Oklahoma (United States)
Sean M. Laverty, Univ. of Central Oklahoma (United States)


Published in SPIE Proceedings Vol. 8944:
Biophotonics and Immune Responses IX
Wei R. Chen, Editor(s)

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