Mathematical Model of CAR T-Cell Therapy for a B-Cell Lymphoma Lymph Node

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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Publication Details

Journal
Bulletin of Mathematical Biology
Published
2025-02-07
DOI
https://doi.org/10.1007/s11538-025-01417-1
Citations
4
Primary Topic
CAR-T cell therapy research
Type
article
Field-Weighted Citation Impact
4.18

Funders

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Mathematical Model of CAR T-Cell Therapy for a B-Cell Lymphoma Lymph Node

Roberto Barrio, Sergio Serrano, Soukaina Sabir, Victor M. Pérez-Garcı́a et al.
4 citations
Bulletin of Mathematical Biology
CAR-T cell therapy research
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article

Mathematical Model of CAR T-Cell Therapy for a B-Cell Lymphoma Lymph Node

Roberto Barrio, Sergio Serrano, Soukaina Sabir, Victor M. Pérez-Garcı́a, Odelaisy León‐Triana
article en
4 citations

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.

Bulletin of Mathematical BiologyVol. 87(3)
Universidad de Zaragoza (ES), Hospital La Paz Institute for Health Research (ES), University of Castilla-La Mancha (ES)
Ministerio de Ciencia e Innovación, Universidad de Castilla-La Mancha, Junta de Comunidades de Castilla-La Mancha, European Regional Development Fund, Agencia Estatal de Investigación
Good health and well-being
Openalex Percentile: Top 6%
CAR-T cell therapy research
4.18
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