On the Analysis of a Mathematical Model of CAR–T Cell Therapy for Glioblastoma: Insights from a Mathematical Model

Chimeric antigen receptor T (CAR-T) cell therapy has been proven to be successful against different leukaemias and lymphomas. Its success has led, in recent years, to its use being tested for different solid tumours, including glioblastoma, a type of primary brain tumour, characterised by aggressive...

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Main Authors: Bodnar Marek, Foryś Urszula, Piotrowska Monika J., Bodzioch Mariusz, Romero-Rosales Jose A., Belmonte-Beitia Juan
Format: Article
Language:English
Published: Sciendo 2023-09-01
Series:International Journal of Applied Mathematics and Computer Science
Subjects:
Online Access:https://doi.org/10.34768/amcs-2023-0027
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author Bodnar Marek
Foryś Urszula
Piotrowska Monika J.
Bodzioch Mariusz
Romero-Rosales Jose A.
Belmonte-Beitia Juan
author_facet Bodnar Marek
Foryś Urszula
Piotrowska Monika J.
Bodzioch Mariusz
Romero-Rosales Jose A.
Belmonte-Beitia Juan
author_sort Bodnar Marek
collection DOAJ
description Chimeric antigen receptor T (CAR-T) cell therapy has been proven to be successful against different leukaemias and lymphomas. Its success has led, in recent years, to its use being tested for different solid tumours, including glioblastoma, a type of primary brain tumour, characterised by aggressiveness and recurrence. This paper presents an analytical study of a mathematical model describing the competition of CAR-T and glioblastoma tumour cells, taking into account their immunosuppressive capacity. The model is formulated in a general way, and its basic properties are investigated. However, most of the analysis considers the model with exponential tumour growth, assuming this growth type for simplicity. The existence and stability of steady states are studied, and the subsequent focus is on two different types of treatment: constant and periodic. Finally, protocols for CAR-T cell therapy of glioblastoma are numerically derived; these are aimed at preventing the tumour from reaching a critical size and at prolonging the patients’ survival time as much as possible. The analytical and numerical results provide theoretical support for the treatment of glioblastoma using CAR-T cells.
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spelling doaj.art-13f978502d6d422d8b332892f50072152023-10-16T06:08:09ZengSciendoInternational Journal of Applied Mathematics and Computer Science2083-84922023-09-0133337939410.34768/amcs-2023-0027On the Analysis of a Mathematical Model of CAR–T Cell Therapy for Glioblastoma: Insights from a Mathematical ModelBodnar Marek0Foryś Urszula1Piotrowska Monika J.2Bodzioch Mariusz3Romero-Rosales Jose A.4Belmonte-Beitia Juan51Institute of Applied Mathematics and Mechanics, University of Warsaw, Banacha 2, 02-097Warsaw, Poland1Institute of Applied Mathematics and Mechanics, University of Warsaw, Banacha 2, 02-097Warsaw, Poland1Institute of Applied Mathematics and Mechanics, University of Warsaw, Banacha 2, 02-097Warsaw, Poland2Faculty of Mathematics and Computer Science, University of Warmia and Mazury in Olsztyn, Słoneczna 54, 10-710Olsztyn, Poland3Mathematical Oncology Laboratory (MOLAB), University of Castilla–La Mancha, Avda. Camilo José Cela s/n, 13071Ciudad Real, Spain3Mathematical Oncology Laboratory (MOLAB), University of Castilla–La Mancha, Avda. Camilo José Cela s/n, 13071Ciudad Real, SpainChimeric antigen receptor T (CAR-T) cell therapy has been proven to be successful against different leukaemias and lymphomas. Its success has led, in recent years, to its use being tested for different solid tumours, including glioblastoma, a type of primary brain tumour, characterised by aggressiveness and recurrence. This paper presents an analytical study of a mathematical model describing the competition of CAR-T and glioblastoma tumour cells, taking into account their immunosuppressive capacity. The model is formulated in a general way, and its basic properties are investigated. However, most of the analysis considers the model with exponential tumour growth, assuming this growth type for simplicity. The existence and stability of steady states are studied, and the subsequent focus is on two different types of treatment: constant and periodic. Finally, protocols for CAR-T cell therapy of glioblastoma are numerically derived; these are aimed at preventing the tumour from reaching a critical size and at prolonging the patients’ survival time as much as possible. The analytical and numerical results provide theoretical support for the treatment of glioblastoma using CAR-T cells.https://doi.org/10.34768/amcs-2023-0027glioblastomacar-t cell therapymathematical modellingperiodic treatment
spellingShingle Bodnar Marek
Foryś Urszula
Piotrowska Monika J.
Bodzioch Mariusz
Romero-Rosales Jose A.
Belmonte-Beitia Juan
On the Analysis of a Mathematical Model of CAR–T Cell Therapy for Glioblastoma: Insights from a Mathematical Model
International Journal of Applied Mathematics and Computer Science
glioblastoma
car-t cell therapy
mathematical modelling
periodic treatment
title On the Analysis of a Mathematical Model of CAR–T Cell Therapy for Glioblastoma: Insights from a Mathematical Model
title_full On the Analysis of a Mathematical Model of CAR–T Cell Therapy for Glioblastoma: Insights from a Mathematical Model
title_fullStr On the Analysis of a Mathematical Model of CAR–T Cell Therapy for Glioblastoma: Insights from a Mathematical Model
title_full_unstemmed On the Analysis of a Mathematical Model of CAR–T Cell Therapy for Glioblastoma: Insights from a Mathematical Model
title_short On the Analysis of a Mathematical Model of CAR–T Cell Therapy for Glioblastoma: Insights from a Mathematical Model
title_sort on the analysis of a mathematical model of car t cell therapy for glioblastoma insights from a mathematical model
topic glioblastoma
car-t cell therapy
mathematical modelling
periodic treatment
url https://doi.org/10.34768/amcs-2023-0027
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