Modeling and Analyzing Stem-Cell Therapy toward Cancer: Evolutionary Game Theory Perspective

Area of Science:

• Mathematical Oncology
• Evolutionary Game Theory
• Cancer Immunotherapy

Background:

• Immunotherapy enhances the patient's immune system to fight cancer.
• Stem cell injection is an emerging immunotherapy strategy.
• Understanding cancer cell dynamics is crucial for effective treatment.

Purpose of the Study:

• To develop a mathematical model for cancer therapy using evolutionary game theory.
• To investigate the efficacy of stem cell injection as a cancer treatment.
• To create a flexible framework applicable to diverse cancer types.

Main Methods:

• Modeled cancer and healthy cell interactions using evolutionary game theory.
• Analyzed system dynamics with replicator equations and control theory.
• Incorporated stem cell injection by modifying replicator equations and adding parameters.

Main Results:

• Adjusting stem cell parameters led to desired equilibrium points with minimal cancer cells.
• Simulation results demonstrated the effectiveness of stem cell-based interventions.
• The model successfully predicted cancer cell reduction through theoretical analysis.

Conclusions:

• The developed mathematical model offers a flexible framework for cancer therapy.
• The approach is adaptable to various cancer types by parameter adjustment.
• Stem cell injection shows promise as a viable cancer treatment strategy.