Chemoimmunotherapy Administration Protocol Design for the Treatment of Leukemia through Mathematical Modeling and In...

Area of Science:

• Mathematical Oncology
• Immunotherapy
• Pharmacology

Background:

• Cancer, including leukemia, remains a significant global health challenge with complex evolution and survival mechanisms.
• Existing treatments face limitations due to cancer's adaptability, necessitating advanced therapeutic strategies.

Purpose of the Study:

• To model chronic lymphocytic leukemia (CLL) growth dynamics under combined CAR-T cell and chlorambucil treatment.
• To establish mathematical conditions for leukemia cell eradication and persistence of CAR-T and cancer cells.

Main Methods:

• Utilized nonlinear dynamical systems and first-order Ordinary Differential Equations to represent cancer growth.
• Applied nonlinear theories to derive conditions for cell eradication and persistence.
• Conducted in silico experiments and numerical simulations to validate findings and design protocols.

Main Results:

• Sufficient conditions for leukemia cell eradication were established.
• Necessary conditions for the long-term persistence of CAR-T and leukemia cells were identified, crucial for treatment dosing.
• Therapy administration protocols were designed for complete leukemia eradication using CAR-T cells and chemoimmunotherapy.

Conclusions:

• The study provides a mathematical framework for understanding and optimizing CLL treatment.
• Derived conditions offer critical insights for designing effective therapeutic strategies, including dose thresholds for cytotoxic effects.
• Formulated equations estimate the cytotoxicity of chlorambucil and CAR-T cells, with validated parameters.