2017 Volume 7 Issue 1
Article Contents

Wenshuang Suo, Yunfeng Jia. EFFECTS OF THE KILLING RATE ON GLOBAL BIFURCATION IN AN ONCOLYTIC-VIRUS SYSTEM WITH TUMORS[J]. Journal of Applied Analysis & Computation, 2017, 7(1): 264-277. doi: 10.11948/2017018
Citation: Wenshuang Suo, Yunfeng Jia. EFFECTS OF THE KILLING RATE ON GLOBAL BIFURCATION IN AN ONCOLYTIC-VIRUS SYSTEM WITH TUMORS[J]. Journal of Applied Analysis & Computation, 2017, 7(1): 264-277. doi: 10.11948/2017018

EFFECTS OF THE KILLING RATE ON GLOBAL BIFURCATION IN AN ONCOLYTIC-VIRUS SYSTEM WITH TUMORS

  • Fund Project:
  • Oncologists and virologist are quite concerned about many kinds of issues related to tumor-virus dynamics in different virus models. Since the virus invasive behavior emerges from combined effects of tumor cell proliferation, migration and cell-microenvironment interactions, it has been recognized as a complex process and usually simulated by nonlinear differential systems. In this paper, a nonlinear differential model for tumor-virus dynamics is investigated mathematically. We first give a priori estimates for positive steadystates and analyze the stability of the positive constant solution. And then, based on these, we mainly discuss effects of the rate of killing infected cells on the bifurcation solution emanating from the positive constant solution by taking the killing rate as the bifurcation parameter.
    MSC: 35K57;58J55
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  • [1] W. Allegretto, G. Cao, G. Li and Y. Lin, Numerical analysis of tumor model in steady state, Comput. Math. Appl., 52(2006)(5), 593-606.

    Google Scholar

    [2] M. G. Crandall and P. H. Rabinowitz, Bifurcation from simple eigenvalues, J. Funct. Anal., 8(1971)(2), 321-340.

    Google Scholar

    [3] V. Cristini, X. Li, J. S. Lowengrub and S. M. Wise, Nonlinear simulations of solid tumor growth using a mixture model:invasion and branching, J. Math. Biol., 58(2009)(4-5), 723-763.

    Google Scholar

    [4] V. Cristini, J. S. Lowengrub and Q. Nie, Nonlinear simulation of tumor growth, J. Math. Biol., 46(2003)(3), 191-224.

    Google Scholar

    [5] J. Escher and A.V. Matioc, Bifurcation analysis for a free boundary problem modeling tumor growth, Arch. Math., 97(2011)(1), 79-90.

    Google Scholar

    [6] A. Friedman and B. Hu, Stability and instability of Liapunov-Schmidt and Hopf bifurcation for a free boundary problem arising in a tumor model, Trans. Am. Math. Soc., 360(2008)(10), 5291-5342.

    Google Scholar

    [7] H. Hao, J. D. Hauenstein, B. Hu, Y. Liu, A. J. Sommese and Y. Zhang, Bifurcation of steady-state solutions for a tumor model with a necrotic core, Nonlinear Anal. RWA, 13(2012), 694-709.

    Google Scholar

    [8] Y. Jia, J. Wu and H. -K. Xu, Positive solutions for a predator-prey interaction model with Holling-type functional response and diffusion, Taiwanese J. Math., 15(2011)(5), 2013-2034.

    Google Scholar

    [9] E. Khain and L. M. Sander, Dynamics and pattern formation in invasive tumor growth, Phys. Rev. Lett., 96(2006)(18), 188103-1-4.

    Google Scholar

    [10] D. A. Knopoff, D. R. Fernandez, G. A. Torres and C. V. Turner, Adjoint method for a tumor growth PDE-constrained optimization problem, Comput. Math. Appl., 66(2013)(6), 1104-1119.

    Google Scholar

    [11] P. Liu, J. Shi, R. Wang and Y. Wang, Bifurcation analysis of a generic reactiondiffusion Turing model, Int. J. Bifurcation Chaos, 24(2014)(4), 1450042-1-12.

    Google Scholar

    [12] J. Liu and J. Wei, On Hopf bifurcation of a delayed predator-prey system with diffusion, Int. J. Bifurcation Chaos, 23(2013)(2), 1350023-1-13.

    Google Scholar

    [13] J. López-Gómeza and M. Molina-Meyerb, Bounded components of positive solutions of abstract fixed point equations:mushrooms, loops and isolas, J. Differential Equations, 209(2005)(2), 416-441.

    Google Scholar

    [14] A. J. Lotka, Elements of Physical Biology, Williams & Wilkins Company, New York, 1925.

    Google Scholar

    [15] Y. Lou and W. -M. Ni, Diffusion, self-diffusion and cross-diffusion, J. Differential Equations, 131(1996)(1), 79-131.

    Google Scholar

    [16] A. S. Novozhilov, F. S. Berezovskaya, E. V. Koonin and G. P. Karev, Mathematical modeling of tumor therapy with oncolytic viruses:regimes with complete tumor elimination within the framework of deterministic model, Biol. Direct, 1(2006)(1), 231-276.

    Google Scholar

    [17] J. Shi, Bifurcation in infinite dimensional spaces and applications in spatiotemporal biological and chemical models, Front Math. China, 4(2009)(3), 407-424.

    Google Scholar

    [18] Y. Tao and Q. Guo, The competitive dynamics between tumor cells, a replication-competent virus and an immune response, J. Math. Biol., 51(2005)(1), 37-74.

    Google Scholar

    [19] K. Umezu, Global structure of supercritical bifurcation with turning points for the logistic elliptic equation with nonlinear boundary conditions, Nonlinear Anal., 89(2013)(3), 250-266.

    Google Scholar

    [20] V. Volterra, Variazioni e fluttuazioni del numero d'individui in specie animali conviventi, Mem. R. Accad. Naz. dei Lincei, 2(1926)(2), 31-113.

    Google Scholar

    [21] Y. Wang and J. Wu, Stability of positive constant steady states and their bifurcation in a biological depletion model, Discrete Contin. Dyn. Syst. Ser. B, 15(2011)(3), 849-865.

    Google Scholar

    [22] D. Wodarz, Viruses as antitumor weapons:defining conditions for tumor remission, Cancer Res., 61(2001)(8), 3501-3507.

    Google Scholar

    [23] J. Wu and S. Cui, Bifurcation analysis of a mathematical model for the growth of solid tumors in the presence of external inhibitors, Math. Method Appl. Sci., 38(2014)(9), 1813-1823.

    Google Scholar

    [24] D. Yang, J. P. Tian and J. Wang, A solvable hyperbolic free boundary problem modelling tumour regrowth, Appl. Anal., 92(2013)(7), 1541-1558.

    Google Scholar

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