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Published on: June 12, 2021
Stochastic tumor immune dynamics with saturating response.
Javed Hussain1, Tareq Saeed2, Lianlian Zhou3
1Department of Mathematics, Sukkur IBA University, Sukkur, Pakistan.
Scientific Reports
|June 26, 2026
Summary
This study models tumor-immune dynamics with random fluctuations, revealing that sustained immune pressure is crucial for tumor extinction. Persistence depends on a stochastic threshold influenced by interaction noise.
Area of Science:
- Mathematical Biology
- Immunology
- Computational Science
Background:
- Tumor-immune interactions are complex, involving dynamic population balances.
- Stochastic models are essential for capturing random fluctuations in biological systems.
Purpose of the Study:
- To analyze a stochastic tumor-immune interaction model with a saturating response.
- To investigate the conditions for tumor extinction and population persistence.
Main Methods:
- Stochastic differential equations with a single Brownian motion driving the interaction term.
- Analysis of global positive solutions, population boundedness, and extinction criteria.
- Application of Krylov-Bogoliubov averaging for invariant probability measures.
Main Results:
- Unique global positive solutions exist for positive initial data.
- Tumor extinction necessitates sustained immune pressure.
- Persistence is governed by a stochastic threshold, with interaction noise creating an Itô correction.
Conclusions:
- The model demonstrates that random fluctuations in immune contact influence tumor dynamics.
- Sustained immune pressure is key for tumor eradication.
- Numerical simulations support the model's predictions regarding persistence and saturation effects.
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