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Research Article | Open Access

A Filippov tumor-immune system with antigenicity

Hengjie PengChangcheng Xiang( )
School of Mathematics and Statistics, Hubei Minzu University, Enshi, Hubei, 445000, China
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Abstract

A threshold strategy model is proposed to demonstrate the extinction of tumor load and the mobilization of immune cells. Using Filippov system theory, we consider global dynamics and sliding bifurcation analysis. It was found that an effective model of cell targeted therapy captures more complex kinetics and that the kinetic behavior of the Filippov system changes as the threshold is altered, including limit cycle and some of the previously described sliding bifurcations. The analysis showed that abnormal changes in patients' tumor cells could be detected in time by using tumor cell-directed therapy appropriately. Under certain initial conditions, exceeding a certain level of tumor load (depending on the patient) leads to different tumor cell changes, that is, different post-treatment effects. Therefore, the optimal control policy for tumor cell-directed therapy should be individualized by considering individual patient data.

CLC number: 34C25, 34D20

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AIMS Mathematics
Pages 19699-19718

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Cite this article:
Peng H, Xiang C. A Filippov tumor-immune system with antigenicity. AIMS Mathematics, 2023, 8(8): 19699-19718. https://doi.org/10.3934/math.20231004

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Received: 27 March 2023
Revised: 08 May 2023
Accepted: 19 May 2023
Published: 15 August 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)