Oscillations in a Spatial Oncolytic Virus Model

Arwa Abdulla Baabdulla, Thomas Hillen

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Virotherapy treatment is a new and promising target therapy that selectively attacks cancer cells without harming normal cells. Mathematical models of oncolytic viruses have shown predator–prey like oscillatory patterns as result of an underlying Hopf bifurcation. In a spatial context, these oscillations can lead to different spatio-temporal phenomena such as hollow-ring patterns, target patterns, and dispersed patterns. In this paper we continue the systematic analysis of these spatial oscillations and discuss their relevance in the clinical context. We consider a bifurcation analysis of a spatially explicit reaction-diffusion model to find the above mentioned spatio-temporal virus infection patterns. The desired pattern for tumor eradication is the hollow ring pattern and we find exact conditions for its occurrence. Moreover, we derive the minimal speed of travelling invasion waves for the cancer and for the oncolytic virus. Our numerical simulations in 2-D reveal complex spatial interactions of the virus infection and a new phenomenon of a periodic peak splitting. An effect that we cannot explain with our current methods.

Original languageEnglish
Article number93
JournalBulletin of Mathematical Biology
Volume86
Issue number8
DOIs
Publication statusPublished - Aug 2024
Externally publishedYes

Keywords

  • Hopf bifurcation
  • Oncolytic virus
  • Reaction diffusion system
  • Spatial viral distribution
  • Travelling wave
  • Tumor control probability

ASJC Scopus subject areas

  • General Neuroscience
  • Immunology
  • General Mathematics
  • General Biochemistry,Genetics and Molecular Biology
  • General Environmental Science
  • Pharmacology
  • General Agricultural and Biological Sciences
  • Computational Theory and Mathematics

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