Abstract
Oncolytic virotherapy is an experimental treatment of cancer pa- tients. This method is based on the administration of replication-competent viruses that selectively destroy tumor cells but remain healthy tissue unaf- fected. In order to obtain optimal dosage for complete tumor eradication, we derive and analyze a new oncolytic virotherapy model with a fixed time period and non-local infection which is caused by the difiusion of the target cells in a continuous bounded domain, where is assumed to be the duration that oncolytic viruses spend to destroy the target cells and to release new viruses since they enter into the target cells. This model is a delayed reaction dif- fusion system with nonlocal reaction term. By analyzing the global stability of tumor cell eradication equilibrium, we give different treatment strategies for cancer therapy according to the different genes mutations (oncogene and antioncogene).
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CITATION STYLE
Wang, Z., Guo, Z., & Peng, H. (2017). Dynamical behavior of a new oncolytic virotherapy model based on gene variation. In Discrete and Continuous Dynamical Systems - Series S (Vol. 10, pp. 1079–1093). American Institute of Mathematical Sciences. https://doi.org/10.3934/dcdss.2017058
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