Geometric immunosuppression in CAR-T cell treatment: Insights from mathematical modeling
Silvia Bordel-Vozmediano (1,2), Soukaina Sabir (1,2), Luc\'ia, Benito-Barca (3), Bettina Weigelin (4,5), V\'ictor M. P\'erez-Garc\'ia, (1,2) ((1) Mathematical Oncology Laboratory (MOLAB), Instituto de, Matem\'atica Aplicada a la Ciencia y la Ingenier\'ia, Universidad de

TL;DR
This paper uses cellular automata modeling to explore how tumor geometry affects the success of CAR-T cell therapy in solid tumors, revealing that spatial distribution impacts immunosuppression and treatment efficacy.
Contribution
It introduces a spatially explicit cellular automata model to analyze the influence of tumor geometry on CAR-T therapy effectiveness in solid tumors.
Findings
Tumor geometry significantly affects treatment outcomes.
Sparse tumor cell distributions improve CAR-T cell efficacy.
Geometrical effects can cause immunosuppression in solid tumors.
Abstract
Chimeric antigen receptor T (CAR-T) cell therapy has emerged as a promising treatment for hematological malignancies, offering a targeted approach to cancer treatment. Understanding the complexities of CAR-T cell therapy within solid tumors poses challenges due to the intricate interactions within the tumor microenvironment. Mathematical modeling may serve as a valuable tool to unravel the dynamics of CAR-T cell therapy and improve its effectiveness in solid tumors. This study aimed to investigate the impact of spatial aspects in CAR-T therapy of solid tumors, utilizing cellular automata for modeling purposes. Our main objective was to deepen our understanding of treatment effects by analyzing scenarios with different spatial distributions and varying the initial quantities of tumor and CAR-T cells. Tumor geometry significantly influenced treatment efficacy in-silico, with notable…
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Taxonomy
TopicsCAR-T cell therapy research · Mathematical Biology Tumor Growth
