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Genetic instability as a driver for immune surveillance
Guim Aguadé-Gorgorió1,2, Ricard Solé3,4,5
1ICREA-Complex Systems Lab, Universitat Pompeu Fabra, Barcelona, 08003, Spain. guimaguade@gmail.com.
Journal for Immunotherapy of Cancer
|December 13, 2019
Summary
Increased genetic instability in tumors can enhance immune response, leading to better cancer prognosis. This finding suggests that boosting mutational load may improve outcomes for combined cancer therapies.
Area of Science:
- Oncology
- Immunology
- Mathematical Biology
Background:
- Genetic instability aids tumor adaptation and carcinogenesis.
- Growing evidence links genetic instability to improved cancer prognosis via immune response.
- Tumor mutational burden drives neoantigen production and immune recognition.
Purpose of the Study:
- To mathematically model the relationship between tumor instability and immune response.
- To analyze evolutionary trade-offs in cancer replication and T cell response.
- To investigate the roles of mutational load and immune activation in cancer prognosis.
Main Methods:
- Developed a minimal mathematical model of ecological interactions.
- Incorporated experimental estimates for relevant parameters.
- Analyzed evolutionary trade-offs and the impact of mutational load and immune activation.
Main Results:
- Cancer clearance is achievable with enhanced mutational load and immune migration.
- Increased genetic instability predicts transitions towards tumor control and eradication.
- Model predictions align with experimental data from Mismatch Repair knockout studies.
Conclusions:
- Genetic instability may drive transitions toward immune-mediated tumor control.
- Enhancing mutational loads could be effective before adoptive cell therapies.
- The mathematical framework aids in predicting outcomes for combined therapies involving genetic instability.
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