Modeling and Analysis of a Nonlinear Age-Structured Model for Tumor Cell Populations with Quiescence

Zijian Liu, Jing Chen, Jianhua Pang, Ping Bi, Shigui Ruan

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

We present a nonlinear first-order hyperbolic partial differential equation model to describe age-structured tumor cell populations with proliferating and quiescent phases at the avascular stage in vitro. The division rate of the proliferating cells is assumed to be nonlinear due to the limitation of the nutrient and space. The model includes a proportion of newborn cells that enter directly the quiescent phase with age zero. This proportion can reflect the effect of treatment by drugs such as erlotinib. The existence and uniqueness of solutions are established. The local and global stabilities of the trivial steady state are investigated. The existence and local stability of the positive steady state are also analyzed. Numerical simulations are performed to verify the results and to examine the impacts of parameters on the nonlinear dynamics of the model.

Original languageEnglish (US)
Pages (from-to)1-29
Number of pages29
JournalJournal of Nonlinear Science
DOIs
StateAccepted/In press - May 7 2018

Keywords

  • Age-structured model
  • Cell cycle
  • Proliferating and quiescent stages
  • Stability
  • Steady state

ASJC Scopus subject areas

  • Modeling and Simulation
  • Engineering(all)
  • Applied Mathematics

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