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9 March 2016 Regulatory T cell effects in antitumor laser immunotherapy: a mathematical model and analysis
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Proceedings Volume 9709, Biophotonics and Immune Responses XI; 97090Z (2016)
Event: SPIE BiOS, 2016, San Francisco, California, United States
Regulatory T cells (Tregs) have tremendous influence on treatment outcomes in patients receiving immunotherapy for cancerous tumors. We present a mathematical model incorporating the primary cellular and molecular components of antitumor laser immunotherapy. We explicitly model developmental classes of dendritic cells (DCs), cytotoxic T cells (CTLs), primary and metastatic tumor cells, and tumor antigen. Regulatory T cells have been shown to kill antigen presenting cells, to influence dendritic cell maturation and migration, to kill activated killer CTLs in the tumor microenvironment, and to influence CTL proliferation. Since Tregs affect explicitly modeled cells, but we do not explicitly model dynamics of Treg themselves, we use model parameters to analyze effects of Treg immunosuppressive activity. We will outline a systematic method for assigning clinical outcomes to model simulations and use this condition to associate simulated patient treatment outcome with Treg activity.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bryan A. Dawkins and Sean M. Laverty "Regulatory T cell effects in antitumor laser immunotherapy: a mathematical model and analysis", Proc. SPIE 9709, Biophotonics and Immune Responses XI, 97090Z (9 March 2016);

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