Dynamical properties of a stochastic tumor-immune model with comprehensive pulsed therapy

被引:2
|
作者
Li, Wei [1 ]
Wang, Bingshuo [1 ]
Huang, Dongmei [1 ]
Rajic, Vesna [2 ]
Zhao, Junfeng [3 ]
机构
[1] Xidian Univ, Sch Math & Stat, Xian 710071, Peoples R China
[2] Univ Belgrade, Fac Econ & Business, Dept Stat & Math, Belgrade, Serbia
[3] Northwestern Polytech Univ, Sch Math & Stat, Xian 710071, Peoples R China
来源
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2025年 / 140卷
基金
中国国家自然科学基金;
关键词
Tumor-immune model; Stochastic perturbations; Comprehensive pulsed therapy; Persistence and extinction; Milsteins method; TIME-DELAY; IMMUNOTHERAPY; SYSTEM; CHEMOTHERAPY; EXTINCTION;
D O I
10.1016/j.cnsns.2024.108330
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, a stochastic tumor-immune model with comprehensive pulsed therapy is established by taking stochastic perturbation and pulsed effect into account. Some properties of the model solutions are given in the form of the Theorems. Firstly, we obtain the equivalent solutions of the tumor-immune system by through three auxiliary equations, and prove the system solutions are existent, positive and unique. Secondly, a Lyapunov function is constructed to prove the global attraction in the mean sense for the system solution, and the boundness of the solutions' expectation is proved by the comparison theorem of the impulsive differential equations. Next, the sufficient conditions for the extinction and non-mean persistence of tumor cells, hunting T-cells and helper T-cells, as well as the weak persistence and stochastic persistence of the tumor, are obtained by way of combining Ito's differential rule and strong law of large numbers, respectively. The results pass the confirmation by numerical Milsteins method. The results show that when the noise intensity gradually increases, the tumor state changes from the weak persistence to the extinction, it demonstrates that the effect of stochastic perturbations on tumor cells is very prominent. In addition, by adjusting the value of a(nP) to simulate different medication doses, the results show that the killing rate of the medication to the tumor cells is the dominant factor in the long-term evolution of the tumor, and the bigger killing rate can lead to a rapid decrease in the number of tumor cells. Increasing the frequency of pulse therapy has also significant effects on tumor regression. The conclusion is consistent with the clinical observation of tumor treatment.
引用
收藏
页数:20
相关论文
共 50 条
  • [31] A Simple Model of Tumor-Immune Interaction: The Effect of Antigen Delay
    Li, Jianquan
    Chen, Yuming
    Cao, Hui
    Zhang, Dian
    Zhang, Peijun
    INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2023, 33 (11):
  • [32] Qualitative and Computational Analysis of a Mathematical Model for Tumor-Immune Interactions
    Rihan, F. A.
    Safan, M.
    Abdeen, M. A.
    Rahman, D. Abdel
    JOURNAL OF APPLIED MATHEMATICS, 2012,
  • [33] DYNAMICS OF A MODEL OF TUMOR-IMMUNE INTERACTION WITH TIME DELAY AND NOISE
    Han, Lifeng
    He, Changhan
    Kuang, Yang
    DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S, 2020, 13 (09): : 2347 - 2363
  • [34] Stability and bifurcation of fractional tumor-immune model with time delay
    Alidousti, Javad
    Ghafari, Elham
    COMPUTATIONAL METHODS FOR DIFFERENTIAL EQUATIONS, 2021, 9 (03): : 692 - 709
  • [35] Permanence and extinction of the delay tumor-immune system with the stochastic environment
    Wang, Zhen
    Jin, Mengmeng
    INTERNATIONAL JOURNAL OF BIOMATHEMATICS, 2024,
  • [36] Existence and bifurcation of non-constant positive steady states for a tumor-immune model
    Wang, Jingjing
    Zheng, Hongchan
    Jia, Yunfeng
    ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND PHYSIK, 2020, 71 (05):
  • [37] GLOBAL DYNAMICS OF THE MODEL OF TUMOR-IMMUNE INTERACTION
    He, Zecen
    Zhao, Yulin
    DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B, 2023, 28 (03): : 1993 - 2010
  • [38] A mathematical model of tumor-immune interactions with an immune checkpoint inhibitor
    Yu, Jui-Ling
    Jang, Sophia R-J
    APPLIED MATHEMATICS AND COMPUTATION, 2019, 362
  • [39] Dynamical behavior of tumor-immune system with fractal-fractional operator
    Farman, Muhammad
    Ahmad, Aqeel
    Akgul, Ali
    Saleem, Muhammad Umer
    Nisar, Kottakkaran Sooppy
    Vijayakumar, Velusamy
    AIMS MATHEMATICS, 2022, 7 (05): : 8751 - 8773
  • [40] Longtime evolution and stationary response of a stochastic tumor-immune system with resting T cells
    Wang B.
    Li W.
    Zhao J.
    Trisovic N.
    Mathematical Biosciences and Engineering, 2024, 21 (02) : 2813 - 2834