Complex dynamics of a tumor-immune system with antigenicity

被引:15
作者
Li, Jianquan [1 ]
Xie, Xin [1 ]
Chen, Yuming [2 ]
Zhang, Dian [3 ]
机构
[1] Shaanxi Univ Sci & Technol, Dept Math, Xian 710021, Peoples R China
[2] Wilfrid Laurier Univ, Dept Math, Waterloo, ON N2L 3C5, Canada
[3] Xian Med Univ, Dept Immunol, Xian 710021, Peoples R China
基金
加拿大自然科学与工程研究理事会;
关键词
Tumor-immune interaction; Antigenicity; Stability; Hopf bifurcation; Bogdanov-Takens bifurcation;
D O I
10.1016/j.amc.2021.126052
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
With the effect of antigenicity in consideration, we propose and analyze a conceptual model for the tumor-immune interaction. The model is described by a system of two ordinary differential equations. Though simple, the model can have complicated dynamical behaviors. Besides the tumor-free equilibrium, there can be up to three tumor-present equilibria, which can be a saddle or stable node/focus. Sufficient conditions on the nonexistence of nonconstant periodic solutions are provided. Bifurcation analysis including Hopf bifurcation and Bogdanov-Takens bifurcation is carried out. The theoretical results are supported by numerical simulations. Numerical simulations reveal the complexity of the dynamical behaviors of the model, which includes the subcritical/supercritical Hopf bifurcation, homoclinic bifurcation, saddle-node bifurcation at a nonhyperbolic periodic orbit, the appearance of two limit cycles with a singular closed orbit, and so on. Some biological implications of the theoretical results and numerical simulations are also provided. (C) 2021 Elsevier Inc. All rights reserved.
引用
收藏
页数:25
相关论文
共 38 条
  • [1] Tumor infiltrating lymphocyte therapy for ovarian cancer and renal cell carcinoma
    Andersen, Rikke
    Donia, Marco
    Westergaard, Marie Christine Wulff
    Pedersen, Magnus
    Hansen, Morten
    Svane, Inge Marie
    [J]. HUMAN VACCINES & IMMUNOTHERAPEUTICS, 2015, 11 (12) : 2790 - 2795
  • [2] [Anonymous], 1990, NONLINEAR OSCILLATIO
  • [3] [Anonymous], 1997, A survey of models for tumor-immune system dynamics
  • [4] A history of the study of solid tumour growth: The contribution of mathematical modelling
    Araujo, RP
    McElwain, DLS
    [J]. BULLETIN OF MATHEMATICAL BIOLOGY, 2004, 66 (05) : 1039 - 1091
  • [5] Arciero JC, 2004, DISCRETE CONT DYN-B, V4, P39
  • [6] Immunotherapy with interleukin-2: A study based on mathematical modeling
    Banerjee, Sandip
    [J]. INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE, 2008, 18 (03) : 389 - 398
  • [7] Bi P, 2014, ELECTRON J DIFFER EQ
  • [8] Bifurcations in Delay Differential Equations and Applications to Tumor and Immune System Interaction Models
    Bi, Ping
    Ruan, Shigui
    [J]. SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS, 2013, 12 (04): : 1847 - 1888
  • [9] Brauer F., 2011, Texts in Applied Mathematics
  • [10] Dynamics of delay-differential equations modelling immunology of tumor growth
    Buric, N
    Todorovic, D
    [J]. CHAOS SOLITONS & FRACTALS, 2002, 13 (04) : 645 - 655