BCG and IL − 2 model for bladder cancer treatment with fast and slow dynamics based on S PVF method—stability analysis

OPhir Nave, Shlomo Hareli, Miriam Elbaz, Itzhak Hayim Iluz, Svetlana Bunimovich-Mendrazitsky

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

In this study, we apply the method of singularly perturbed vector field (S PVF) and its application to the problem of bladder cancer treatment that takes into account the combination of Bacillus CalmetteGurin vaccine (BCG) and interleukin (IL)-2 immunotherapy (IL − 2). The model is presented with a hidden hierarchy of time scale of the dynamical variables of the system. By applying the S PVF, we transform the model to S PS (Singular Perturbed System) form with explicit hierarchy, i.e., slow and fast sub-systems. The decomposition of the model to fast and slow subsystems, first of all, reduces significantly the time computer calculations as well as the long and complex algebraic expressions when investigating the full model. In addition, this decomposition allows us to explore only the fast subsystem without losing important biological/ mathematical information of the original system.The main results of the paper were that we obtained explicit expressions of the equilibrium points of the model and investigated the stability of these points.

Original languageEnglish
Pages (from-to)5346-5379
Number of pages34
JournalMathematical Biosciences and Engineering
Volume16
Issue number5
DOIs
StatePublished - 1 Jan 2019

Keywords

  • BCG
  • Dirac delta function
  • Gamma distribution function
  • IL-2 combined therapy
  • Impulse differential equations
  • Mathematical modeling
  • Therapy schedule

ASJC Scopus subject areas

  • Modeling and Simulation
  • Agricultural and Biological Sciences (all)
  • Computational Mathematics
  • Applied Mathematics

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