Response to CAR T cell therapy can be explained by ecological cell dynamics and stochastic extinction events
Abstract
Chimeric antigen receptor (CAR) T cell therapy is a remarkably effective immunotherapy that relies on in vivo expansion of engineered CAR T cells, after lymphodepletion by chemotherapy. The laws underlying this expansion and subsequent tumor eradication remain unknown. Still, about 60% of CAR T-treated patients are likely to progress; their tumors are not eradicated. Here we seek to understand and disentangle the multiple processes that contribute to CAR expansion and tumor eradication. We developed a mathematical model of T cell-tumor cell interactions, and demonstrate that CAR T cell expansion is shaped by immune reconstitution dynamics after lymphodepletion and predator prey-like dynamics. Our cell population model was parameterized using patient population-level data over time and recapitulates progression free survival. As an intrinsic property, we find that tumor eradication is a stochastic event. Our cell population-based approach renders CAR T cell therapy as an ecological dynamic process that drives tumors toward an extinction vortex. Even if a clinical event, such as progression, is likely, its timing can be highly variable. We predict how clinical interventions that increase CAR T memory populations could improve the likelihood of tumor eradication and improve progression free survival. Our model can be leveraged to propose new CAR composition and dosing strategies, assess the need for multiple doses, and identify patient populations most likely to benefit from CAR T with or without additional interventions.
02 /Specification & Classification
Click any tag to browse matching papers- Organism
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Mathematical deconvolution of CAR T-cell proliferation and exhaustion from real-time killing assay data
P. Sahoo, X. Yang, … R. C. Rockne·bioRxiv·Nov 9, 2019
- Three-Compartment Model of CAR T-cell Immunotherapy
B. J. Rodrigues, L. R. C. Barros, R. C. Almeida·bioRxiv·Apr 18, 2020
- Modelling CAR T-cell Therapy with Patient Preconditioning
K. L. Owens, I. Bozic·Bulletin of Mathematical BiologyPeer-reviewed·May 1, 2021
- A mechanistic model for dynamics between CAR T cells and target cells captures features that determine killing profiles
Suriya Selvarajan, Kevin L. Scrudders, … Shalini T. Low-Nam·bioRxiv·Jun 24, 2025
- Toxicity Management in CAR T cell therapy for B-ALL: Mathematical modelling as a new avenue for improvement.
Shalla Hanson, David Robert Grimes, … Arturo Araujo·bioRxiv·Apr 22, 2016
- Mechanisms of Resistance to CAR-T cell Immunotherapy: Insights from a Mathematical Model
D. S. Santurio, E. A. Paixao, … A. C. Fassoni·bioRxiv·May 1, 2023