ArticleBulletin of mathematical biology2025
Mathematical Model of CAR T-Cell Therapy for a B-Cell Lymphoma Lymph Node.
Article in Bulletin of mathematical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Mathematical model of tumor-macrophage dynamics in glioma to advance myeloid-targeted therapies.Computers in biology and medicine · 2025Article
- Mathematical model of tumor-macrophage dynamics in glioma to advance myeloid-targeted therapies.bioRxiv : the preprint server for biology · 2025Article
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Authors and funding
5 authors.
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Abstract
CAR T-cell therapies have demonstrated significant success in treating B-cell leukemia in children and young adults. However, their effectiveness in treating B-cell lymphomas has been limited in comparison to leukemia. In this paper we present a mathematical model that elucidates the dynamics of diffuse large B-cell lymphoma and CAR T-cells in a lymph node. The mathematical model aids in understanding the complex interplay between the cell populations involved and proposes ways to identify potential underlying dynamical causes of treatment failure. We also study the phenomenon of immunosuppression induced by tumor cells and theoretically demonstrate its impact on cell dynamics. Through the examination of various response scenarios, we underscore the significance of product characteristics in treatment outcomes.
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Registered trials
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