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Updated: May 25, 2026
Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
A hybrid multiscale model for predicting CAR-T therapy outcomes in solid tumors
Mohammad R Nikmaneshi1, Lance L Munn2
1Edwin L. Steele Laboratories, Department of Radiation Oncology, Harvard Medical School and Massachusetts General Hospital, Boston, MA, 02114, USA.
Abstract:
T cell distribution within tumors ("tumor hotness") critically determines the success of immunotherapy. However, despite numerous strategies to enhance intratumoral T cell accumulation - such as multi-target CAR-Ts and combinatorial approaches - limited mechanistic understanding of T cell-microenvironment interactions has constrained progress. To address this, we developed a mechanistic physiological model of the 3D tumor microenvironment (TME) to evaluate CAR-T performance under environmental fluctuations and across different infusion strategies. The model integrates key vascular (rolling, firm adhesion, endothelial suppression) and interstitial (ECM density, metabolic competition, chemokine sensitivity) barriers. Our simulations reveal that collagen density and metabolic competition are dominant factors in CAR-T efficacy. Enhancing vascular rolling and firm adhesion improves infiltration but remains limited by collagen and metabolism. Endothelial suppression markedly reduces tumor hotness, while its alleviation enhances response. Systemic infusion yields higher tumor hotness than intratumoral delivery, but combined routes or reduced collagen density restore efficacy, even in dense tumors. This mechanistic framework enables rational optimization of CAR-T strategies.
Insights
Understanding tumor microenvironment barriers is key for effective CAR-T cell immunotherapy. Our model shows collagen density and metabolic competition significantly impact T cell infiltration and tumor response.
Area of Science:
- Immunology
- Biomedical Engineering
- Computational Biology
Background:
- Tumor hotness, or T cell distribution within tumors, is crucial for immunotherapy success.
- Current strategies to enhance T cell accumulation face limitations due to poor understanding of T cell-microenvironment interactions.
Purpose of the Study:
- To develop a mechanistic physiological model of the 3D tumor microenvironment (TME).
- To evaluate CAR-T cell performance under varying environmental conditions and infusion strategies.
Main Methods:
- Integrated key vascular (rolling, adhesion, endothelial suppression) and interstitial (ECM density, metabolic competition, chemokine sensitivity) barriers into a 3D TME model.
- Simulated CAR-T cell performance across different environmental fluctuations and infusion strategies.
Main Results:
- Collagen density and metabolic competition were identified as dominant factors limiting CAR-T efficacy.
- Enhanced vascular rolling and adhesion improved infiltration but were constrained by collagen and metabolism.
- Endothelial suppression significantly reduced tumor hotness, while its alleviation improved response.
- Systemic infusion led to higher tumor hotness than intratumoral delivery.
Conclusions:
- Alleviating barriers like collagen density and metabolic competition can restore CAR-T efficacy.
- Combined infusion routes or reduced collagen density can overcome limitations in dense tumors.
- The developed mechanistic framework allows for rational optimization of CAR-T cell strategies.
