Bunimovich-Mendrazitsky, S.; Shaikhet, L. Stability Analysis of Delayed Tumor-Antigen-ActivatedImmune Response in Combined BCG and IL-2Immunotherapy of Bladder Cancer. Processes2020, 8, 1564.
Bunimovich-Mendrazitsky, S.; Shaikhet, L. Stability Analysis of Delayed Tumor-Antigen-ActivatedImmune Response in Combined BCG and IL-2Immunotherapy of Bladder Cancer. Processes 2020, 8, 1564.
Bunimovich-Mendrazitsky, S.; Shaikhet, L. Stability Analysis of Delayed Tumor-Antigen-ActivatedImmune Response in Combined BCG and IL-2Immunotherapy of Bladder Cancer. Processes2020, 8, 1564.
Bunimovich-Mendrazitsky, S.; Shaikhet, L. Stability Analysis of Delayed Tumor-Antigen-ActivatedImmune Response in Combined BCG and IL-2Immunotherapy of Bladder Cancer. Processes 2020, 8, 1564.
Abstract
We use a system biology approach to translate the interaction of Bacillus Calmette-Gurin (BCG) + interleukin 2 (IL-2) for the treatment of bladder cancer into a mathematical model. The model is presented as a system of differential equations with the following variables: number of tumor cells, bacterial cells, immune cells, and cytokines involved in the tumor-immune response. This work investigates the delay effect induced by the proliferation of tumor antigen-specific effector cells after the immune system destroys BCG-infected urothelium cells following BCG and IL-2 immunotherapy in the treatment of bladder cancer. For the proposed model, three equilibrium states are found analytically. The stability of all equilibria is analyzed using the method of Lyapunov functionals construction and the method of linear matrix inequalities (LMIs).
Keywords
cancer modeling; combined treatment model; discrete time delay; stability conditions; Lyapunov functionals; linear matrix inequalities (LMIs)
Subject
Computer Science and Mathematics, Applied Mathematics
Copyright:
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