Abstract.

In this paper, we study a tumor-immune system interaction model with dendritic cell therapy and immune response delay. First, it is shown that the ODE version of the model has a Bogdanov–Takens (BT) singularity or a weak focus with multiplicity at most 1 for different parameter values. As the parameters vary, the ODE model undergoes supercritical Hopf bifurcation and supercritical BT bifurcation. Our analysis indicates that there exists a threshold value of the activation rate of T cells, below which tumor immune escape occurs, above or at which T cells and tumor cells coexist in the form of a stable periodic oscillation or steady state. Second, we study how the immune response delay affects the dynamics of the model. Our results reveal that the delay can destabilize the stable positive equilibrium through Hopf bifurcation. Furthermore, the direction and stability of Hopf bifurcation are derived. When there is a cusp, we show that it is a BT singularity for any delay and the delay model also undergoes BT bifurcation. Finally, numerical simulations are presented to illustrate the theoretical results.

Keywords

  1. tumor-immune system interaction model
  2. dendritic cell therapy
  3. immune response delay

MSC codes

  1. 34K18
  2. 92C37
  3. 37N25

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Acknowledgments.

We thank the four anonymous reviewers for their helpful comments and suggestions which helped us to improve the manuscript significantly.

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Information & Authors

Information

Published In

cover image SIAM Journal on Applied Mathematics
SIAM Journal on Applied Mathematics
Pages: 1892 - 1914
ISSN (online): 1095-712X

History

Submitted: 10 November 2022
Accepted: 28 June 2023
Published online: 21 September 2023

Keywords

  1. tumor-immune system interaction model
  2. dendritic cell therapy
  3. immune response delay

MSC codes

  1. 34K18
  2. 92C37
  3. 37N25

Authors

Affiliations

Yuyue Zhang
School of Mathematics and Statistics, and Key Laboratory of Nonlinear Analysis & Applications (Ministry of Education), Central China Normal University, Wuhan, 430079, People’s Republic of China.
Liqi Xie
School of Mathematics and Statistics, and Key Laboratory of Nonlinear Analysis & Applications (Ministry of Education), Central China Normal University, Wuhan, 430079, People’s Republic of China.
Yueping Dong
School of Mathematics and Statistics, and Key Laboratory of Nonlinear Analysis & Applications (Ministry of Education), Central China Normal University, Wuhan, 430079, People’s Republic of China.
Corresponding co-author. School of Mathematics and Statistics, and Key Laboratory of Nonlinear Analysis & Applications (Ministry of Education), Central China Normal University, Wuhan, 430079, People’s Republic of China.
Corresponding co-author. Department of Mathematics, University of Miami, Coral Gables, FL 33146 USA.
Yasuhiro Takeuchi
College of Science and Engineering, Aoyama Gakuin University, Kanagawa, 252-5258, Japan.

Funding Information

Funding: This research was partially supported by the National Natural Science Foundation of China grants 11871235, 12231008, and 11901225 and by the Japan Society for the Promotion of Science “Grand-in-Aid 20K03755”.

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