Quantifying the role of immunotherapeutic drug T11 target structure in progression of malignant gliomas: Mathematical modeling and dynamical perspective

被引:43
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; Global stability; Lyapunov function; Sotomayor's theorem; Transcritical and saddle-node bifurcations; CD8(+) T-CELLS; BRAIN-TUMORS; GROWTH; GLIOBLASTOMA; INVASION;
D O I
10.1016/j.mbs.2017.04.006
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The paper describes a mathematical model with synergistic interaction between the malignant glioma cells and the immune system, namely, macrophages, activated Cytotoxic T-Lymphocytes (CTLs), the immunosuppressive cytokine Transforming Growth Factor-beta (TGF-beta) and the immuno-stimulatory cytokine Interferon-gamma (IFN-gamma), using a system of coupled non-linear ordinary differential equations (ODEs). We have introduced a new immunotherapeutic, drug T11 Target structure (T11TS) into the model, which boosts the macrophages and CTLs to kill the glioma cells. In our analysis, we have established a criteria for the threshold level of immunotherapeutic drug T11TS for which the system will be gliomas free or tumor free. The analytical findings are supported by numerical simulations using parameters estimated from experimental data. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:69 / 77
页数:9
相关论文
共 24 条
[1]  
Alvord E. C., 1991, The Pathology of the Aging Human Nervous System, P210
[2]  
Banerjee S., 2015, PLOS ONE, V10, DOI [10.1371/journal.pone.0123611.E0123611, DOI 10.1371/JOURNAL.PONE.0123611.E0123611]
[3]   The role of IDH1 mutated tumour cells in secondary glioblastomas: an evolutionary game theoretical view [J].
Basanta, David ;
Scott, Jacob G. ;
Rockne, Russ ;
Swanson, Kristin R. ;
Anderson, Alexander R. A. .
PHYSICAL BIOLOGY, 2011, 8 (01)
[4]   Mathematical modeling of efficient protocols to control glioma growth [J].
Branco, J. R. ;
Ferreira, J. A. ;
de Oliveira, Paula .
MATHEMATICAL BIOSCIENCES, 2014, 255 :83-90
[5]   On assessing quality of therapy in non-linear distributed mathematical models for brain tumor growth dynamics [J].
Bratus, A. S. ;
Fimmel, E. ;
Kovalenko, S. Yu .
MATHEMATICAL BIOSCIENCES, 2014, 248 :88-96
[6]   Distributed parameters deterministic model for treatment of brain tumors using Galerkin finite element method [J].
Chakrabarty, Siddhartha P. ;
Hanson, Floyd B. .
MATHEMATICAL BIOSCIENCES, 2009, 219 (02) :129-141
[7]   Medical progress: Brain tumors [J].
DeAngelis, LM .
NEW ENGLAND JOURNAL OF MEDICINE, 2001, 344 (02) :114-123
[8]   Glioma virotherapy: Effects of innate immune suppression and increased viral replication capacity [J].
Friedman, A ;
Tian, JJP ;
Fulci, G ;
Chiocca, EA ;
Wang, J .
CANCER RESEARCH, 2006, 66 (04) :2314-2319
[9]   The detection of CD2+, CD4+, CD8+, and WC1+T lymphocytes, B cells and macrophages in fixed and paraffin embedded bovine tissue using a range of antigen recovery and signal amplification techniques [J].
Gutierrez, M ;
Forster, FI ;
McConnell, SA ;
Cassidy, JP ;
Pollock, JM ;
Bryson, DG .
VETERINARY IMMUNOLOGY AND IMMUNOPATHOLOGY, 1999, 71 (3-4) :321-334
[10]   Mathematical modelling of glioblastoma tumour development: A review [J].
Hatzikirou, H ;
Deutsch, A ;
Schaller, C ;
Simon, M ;
Swanson, K .
MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES, 2005, 15 (11) :1779-1794