Oncolytic virotherapy for tumours following a Gompertz growth law

Adrianne L Jenner1, Peter S Kim1, Federico Frascoli2

  • 1School of Mathematics and Statistics, University of Sydney, Sydney, NSW, Australia.

Insights

Oncolytic virus therapy for cancer shows complex dynamics. Mathematical modeling reveals that complete tumor eradication is possible but depends on matching viral traits to tumor growth, not just high viral loads.

Area of Science:

  • Oncology
  • Mathematical Biology
  • Virology

Background:

  • Oncolytic viruses are engineered to target and destroy cancer cells, offering a promising therapeutic avenue.
  • Understanding the complex interactions between oncolytic viruses and tumors in vivo is crucial for optimizing treatment strategies.

Purpose of the Study:

  • To develop and analyze a mathematical model simulating cancer dynamics under oncolytic virus treatment.
  • To investigate the influence of viral characteristics and administration schedules on treatment outcomes.

Main Methods:

  • Utilized a Gompertz growth law to model tumor progression.
  • Employed local stability analysis and bifurcation plots to explore virus-tumor interactions.
  • Analyzed system dynamics, including oscillations and bistable states.

Main Results:

  • Identified conditions for complete tumor eradication, emphasizing the importance of matching viral properties to tumor growth rates.
  • Demonstrated that high initial viral doses or highly effective viruses do not guarantee eradication.
  • Revealed that lower viral loads and less resilient viruses can be more effective in certain scenarios, avoiding detrimental oscillations.

Conclusions:

  • Oncolytic virus therapy efficacy is highly dependent on specific parameter combinations, not solely on viral load or potency.
  • Oscillations and bistable states significantly impact treatment outcomes, with strategies for their control linked to initial viral load and parameter tuning.

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