Bifurcation and Stability of a Mathematical Model for Tumor Growth with Oncolytic Virotherapy

被引:0
|
作者
Chen, Hong-Bing [1 ,2 ]
机构
[1] Northwest Normal Univ, Sch Math & Stat, Lanzhou 730070, Gansu, Peoples R China
[2] Tianshui Normal Univ, Sch Math & Stat, Tianshui 741001, Gansu, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Oncolytic virotherapy; T-OV-taxis; global bifurcation; stability; REACTION-DIFFUSION MODEL; DYNAMICS; VIRUS; ADENOVIRUS; EFFICACY; THERAPY; CELLS;
D O I
10.1142/S0218127423501687
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Replication-competent viruses have been used as an alternative therapeutic approach for cancer treatment. In this paper, a T-OV-taxis mathematical model for tumor growth with oncolytic virotherapy is established. First, the stability of u* is studied in the ODE system and in the reaction-diffusion system of the model. It is found that the stability of u* will not be changed by diffusion alone. Next, the T-OV-taxis rate chi is selected as a bifurcation factor, and a threshold value chi(0) (chi(0) < 0) is found, such that positive constant steady-state u* becomes unstable when chi < chi(0). Hence, the taxis-driven Turing instability occurs. Furthermore, the existence, stability, turning direction of steady-state bifurcation are discussed. And, the local steady-state bifurcation is extended to a global one, where the theory used is the Crandall-Rabinowitz bifurcation theorem. Finally, it is concluded that T-OV-taxis rate chi plays an important role in this mathematical model.
引用
下载
收藏
页数:26
相关论文
共 50 条
  • [31] Ultimate tumor dynamics and eradication using oncolytic virotherapy
    Starkov, Konstantin E.
    Kanatnikov, Anatoly N.
    Andres, Giovana
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2021, 92
  • [32] Synergy of CTL tumor cytotoxicity with myxoma oncolytic virotherapy
    Chen, Meixuan
    Matos, Ana L.
    Yuvaraj, Padhmavathy
    Belmont, Laura
    McFadden, Grant
    Anderson, Karen S.
    CANCER RESEARCH, 2019, 79 (13)
  • [33] Oncolytic virotherapy evolved into the fourth generation as tumor immunotherapy
    Xianwang Wang
    Yihua Shen
    Xingxia Wan
    Xiaoqing Hu
    Wen-Qi Cai
    Zijun Wu
    Qiang Xin
    Xiaoqing Liu
    Jingang Gui
    Hong-Yi Xin
    Hong-Wu Xin
    Journal of Translational Medicine, 21
  • [34] Ultimate tumor dynamics and eradication using oncolytic virotherapy
    Starkov, Konstantin E.
    Kanatnikov, Anatoly N.
    Andres, Giovana
    Communications in Nonlinear Science and Numerical Simulation, 2021, 92
  • [35] Interferon-Mediated Tumor Resistance to Oncolytic Virotherapy
    Ebrahimi, Safieh
    Ghorbani, Elnaz
    Khazaei, Majid
    Avan, Amir
    Ryzhikov, Mikhail
    Azadmanesh, Kayhan
    Hassanian, Seyed Mahdi
    JOURNAL OF CELLULAR BIOCHEMISTRY, 2017, 118 (08) : 1994 - 1999
  • [36] Murine Tumor Models for Oncolytic Rhabdo-Virotherapy
    Falls, Theresa
    Roy, Dominic Guy
    Bell, John Cameron
    Bourgeois-Daigneault, Marie-Claude
    ILAR JOURNAL, 2016, 57 (01) : 73 - 85
  • [37] Oncolytic virotherapy evolved into the fourth generation as tumor immunotherapy
    Wang, Xianwang
    Shen, Yihua
    Wan, Xingxia
    Hu, Xiaoqing
    Cai, Wen-Qi
    Wu, Zijun
    Xin, Qiang
    Liu, Xiaoqing
    Gui, Jingang
    Xin, Hong-Yi
    Xin, Hong-Wu
    JOURNAL OF TRANSLATIONAL MEDICINE, 2023, 21 (01)
  • [38] Tumor Control by Cytomegalovirus: A Door Open for Oncolytic Virotherapy?
    Herbein, Georges
    Nehme, Zeina
    MOLECULAR THERAPY-ONCOLYTICS, 2020, 17 : 1 - 8
  • [39] Age-structure model for oncolytic virotherapy
    Ding, Chuying
    Wang, Zizi
    Zhang, Qian
    INTERNATIONAL JOURNAL OF BIOMATHEMATICS, 2022, 15 (01)
  • [40] Optimal control of a basic model of oncolytic virotherapy
    Abu-Rqayiq, Abdullah
    Alayed, Haneen
    Zannon, Mohammad
    JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE-JMCS, 2022, 24 (02): : 119 - 126