一类具时滞的肿瘤–免疫反应扩散模型的动力学性质
Dynamics of a Tumor-Immune Response Diffusion Model with Time Delay
DOI: 10.12677/AAM.2023.125251, PDF,    国家自然科学基金支持
作者: 赵玉芝, 魏新*:黑龙江大学数学科学学院,黑龙江 哈尔滨
关键词: 肿瘤–免疫模型稳定性Hopf分支Tumor-Immune Model Stability Hopf Bifurcation
摘要: 本文主要对一类肿瘤–免疫细胞竞争模型的动力学性质进行研究。首先,分析在反应扩散模型中引入时滞是否影响平衡点的稳定性;其次,给出了Hopf分支发生的充分条件;最后,通过数值模拟展示了肿瘤–免疫细胞竞争模型的发展规律,并对理论结果进行了解释。
Abstract: In this paper, the dynamical properties of a tumor-immune cell competition model were studied. Firstly, the stability of equilibrium point is analyzed if time delay is introduced into reaction-dif- fu-sion model. Secondly, the sufficient conditions for the occurrence of Hopf bifurcation are given. Fi-nally, the development law of tumor-immune cell competition model was demonstrated by numer-ical simulation, and the theoretical results were explained.
文章引用:赵玉芝, 魏新. 一类具时滞的肿瘤–免疫反应扩散模型的动力学性质[J]. 应用数学进展, 2023, 12(5): 2493-2501. https://doi.org/10.12677/AAM.2023.125251

参考文献

[1] Friedman, A., Tian, J.P., Fulci, G., Chiocca, E.A. and Wang, J. (2006) Glioma Virotherapy: Effects of Innate Immune Suppression and Increased Viral Replication Capacity. Cancer Research, 66, 2314-2319. [Google Scholar] [CrossRef
[2] Phan, T.A. and Tian, J.P. (2017) The Role of the Innate Immune System in Oncolytic Virotherapy. Computational and Mathematical Methods in Medicine, 2017, Article ID: 6587258. [Google Scholar] [CrossRef] [PubMed]
[3] Kuznetsov, V.A., Makalkin, I.A., Taylor, M.A. and Perelson, A.S. (1994) Nonlinear Dynamics of Immunogenic Tumors: Parameter Estimation and Global Bifurcation Analysis. Bul-letin of Mathematical Biology, 56, 295-321. [Google Scholar] [CrossRef
[4] Kirschner, D. and Panetta, J.C. (1998) Modeling Immunotherapy of the Tumor—Immune Interaction. Journal of Mathematical Biology, 37, 235-252. [Google Scholar] [CrossRef] [PubMed]
[5] Baker, C.T.H., Bocharov, G.A., Paul, C.A.H. and Rihan, F.A. (1998) Modelling and Analysis of Time-Lags in Some Basic Patterns of Cell Proliferation. Journal of Mathematical Biology, 37, 341-371. [Google Scholar] [CrossRef] [PubMed]
[6] Zheng, J. and Xing, R. (2020) Bifurcation for a Free-Boundary Tu-mor Model with Extracellular Matrix and Matrix Degrading Enzymes. Journal of Differential Equations, 268, 3152-3170. [Google Scholar] [CrossRef
[7] Shu, Y., Huang, J., Dong, Y. and Takeuchi, Y. (2020) Mathematical Modeling and Bifurcation Analysis of Pro- and Anti-Tumor Macrophages. Applied Mathematical Modelling, 88, 758-773. [Google Scholar] [CrossRef
[8] Ruan, S. (2020) Nonlinear Dynamics in Tumor-Immune System Interaction Models with Delays. Discrete and Continuous Dynamical Systems-B, 26, 541-602. [Google Scholar] [CrossRef
[9] Pang, L., Liu, S., Zhang, X. and Tian, T.H. (2020) Mathematical Mod-eling and Dynamic Analysis of Anti-Tumor Immune Response. Journal of Applied Mathematics and Computing, 62, 473-488. [Google Scholar] [CrossRef
[10] Das, P., Mukherjee, S. and Das, P. (2019) An Investigation on Michaelis-Menten Kinetics Based Complex Dynamics of Tumor-Immune Interaction. Chaos, Solitons & Fractals, 128, 297-305. [Google Scholar] [CrossRef
[11] Yu, M., Huang, G., Dong, Y. and Takeuchi, Y. (2020) Complicated Dynamics of Tumor-Immune System Interaction Model with Distributed Time Delay. Discrete \& Continu-ous Dynamical Systems-B, 25, 2391-2406. [Google Scholar] [CrossRef
[12] 王晶囡, 杨德中. 具时滞扩散效应的病原体——免疫模型的稳定性及分支[J]. 数学物理学报, 2021, 41(4): 1204- 1217.
[13] 刘高杨, 丁宇婷. 具时滞的肿瘤免疫扩散模型的动力学性质分析[J]. 沈阳大学学报(自然科学版), 2021, 33(5): 445-454.
[14] Villasana, M. and Radunskaya, A. (2003) A Delay Differential Equation Model for Tumor Growth. Journal of Mathematical Biology, 47, 270-294. [Google Scholar] [CrossRef] [PubMed]
[15] Zhao, J. and Wei, J. (2009) Stability and Bifurcation in a Two Harmful Phytoplankton—Zooplankton System. Chaos, Solitons & Fractals, 39, 1395-1409. [Google Scholar] [CrossRef