Influence of multiple delays in brain tumor and immune system interaction with T11 target structure as a potent stimulator

被引:29
作者
Khajanchi, Subhas [1 ]
Banerjee, Sandip [2 ]
机构
[1] Bankura Univ, Dept Math, Bankura 722155, India
[2] Indian Inst Technol Roorkee, Dept Math, Roorkee 247667, Uttar Pradesh, India
关键词
Malignant gliomas; T11 target structure; Stability; Multiple delays; Hopf bifurcation; MATHEMATICAL-MODEL; BIFURCATION-ANALYSIS; TGF-BETA; GROWTH; IMMUNOTHERAPY; STABILITY; PROGRESSION; THERAPY; CELLS;
D O I
10.1016/j.mbs.2018.06.001
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We present a mathematical model which describes the growth of malignant gliomas in presence of immune responses by considering the role of immunotherapeutic agent T11 target structure (T11TS). The model consider five populations, namely, glioma cells, macrophages, cytotoxic T-lymphocytes, TGF - beta and IFN - gamma. The model system has highly nonlinear terms with four discrete time lags, but remains tractable. The goal of this work is to better understand the effect of multiple delays on the interaction between gliomas and immune components in conjunction with an administration of T11 target structure. Analytically, we investigate the conditions for the asymptotic stability of equilibrium points, the existence of Hopf bifurcations and the maximum value of the delay to preserve the stability of limit cycle. For the set of parameter values estimated from experimental data, time delays have hardly any influence on the system behavior. Numerical simulations are carried out to investigate the dynamics of the model with different values for delays with and without administration of T11 target structure.
引用
收藏
页码:116 / 130
页数:15
相关论文
共 36 条
  • [1] Alvord E. C., 1991, The Pathology of the Aging Human Nervous System, P210
  • [2] Modelling and analysis of time-lags in some basic patterns of cell proliferation
    Baker, CTH
    Bocharov, GA
    Paul, CAH
    Rihan, FA
    [J]. JOURNAL OF MATHEMATICAL BIOLOGY, 1998, 37 (04) : 341 - 371
  • [3] Delay-induced model for tumor-immune interaction and control of malignant tumor growth
    Banerjee, Sandip
    Sarkar, Ram Rup
    [J]. BIOSYSTEMS, 2008, 91 (01) : 268 - 288
  • [4] A Mathematical Model to Elucidate Brain Tumor Abrogation by Immunotherapy with T11 Target Structure
    Banerjee, Sandip
    Khajanchi, Subhas
    Chaudhuri, Swapna
    [J]. PLOS ONE, 2015, 10 (05):
  • [5] MATHEMATICAL MODELING OF GLIOMA THERAPY USING ONCOLYTIC VIRUSES
    Camara, Baba Issa
    Mokrani, Houda
    Afenya, Evans
    [J]. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2013, 10 (03) : 565 - 578
  • [6] Delay-induced oscillatory dynamics of tumour-immune system interaction
    d'Onofrio, Alberto
    Gatti, Francesca
    Cerrai, Paola
    Freschi, Luca
    [J]. MATHEMATICAL AND COMPUTER MODELLING, 2010, 51 (5-6) : 572 - 591
  • [7] de Pillis LG, 2003, COMPUTATIONAL FLUID AND SOLID MECHANICS 2003, VOLS 1 AND 2, PROCEEDINGS, P1661
  • [8] Effects of TGF-β on the immune system:: implications for cancer immunotherapy
    de Visser, KE
    Kast, WM
    [J]. LEUKEMIA, 1999, 13 (08) : 1188 - 1199
  • [9] Dieudonnc J., 1960, FDN MODERN ANAL
  • [10] Virtual glioblastoma: growth, migration and treatment in a three-dimensional mathematical model
    Eikenberry, S. E.
    Sankar, T.
    Preul, M. C.
    Kostelich, E. J.
    Thalhauser, C. J.
    Kuang, Y.
    [J]. CELL PROLIFERATION, 2009, 42 (04) : 511 - 528