Dataset Information

Barros2021 - CARTmath, Mathematical Model of CAR-T Immunotherapy in Raji Cell Line

ABSTRACT: A mathematical model (CART-math) studying the impact of CAR-T cells therapy on haematological cancer cell lines which in this case is RAJI.

SUBMITTER: Krishna Kumar Tiwari

PROVIDER: BIOMD0000001020 | BioModels | 2024-09-02

REPOSITORIES: BioModels

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Dataset's files

Source:

			Action	DRS
	BIOMD0000001020?filename=Barros2021_RAJI-biopax2.owl	Owl
	BIOMD0000001020?filename=Barros2021_RAJI-biopax3.owl	Owl
	BIOMD0000001020?filename=Barros2021_RAJI-matlab.m	Other
	BIOMD0000001020?filename=Barros2021_RAJI-octave.m	Other
	BIOMD0000001020?filename=Barros2021_RAJI.cps	Other

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Publications

CART<i>math</i>-A Mathematical Model of CAR-T Immunotherapy in Preclinical Studies of Hematological Cancers.

Barros Luciana R C LRC Paixão Emanuelle A EA Valli Andrea M P AMP Naozuka Gustavo T GT Fassoni Artur C AC Almeida Regina C RC

Cancers 20210611 12

Immunotherapy has gained great momentum with chimeric antigen receptor T cell (CAR-T) therapy, in which patient's T lymphocytes are genetically manipulated to recognize tumor-specific antigens, increasing tumor elimination efficiency. In recent years, CAR-T cell immunotherapy for hematological malignancies achieved a great response rate in patients and is a very promising therapy for several other malignancies. Each new CAR design requires a preclinical proof-of-concept experiment using immunode ...[more]

PMID: 34208323

Similar Datasets

Project description:This model is based on the publication: "CAR T cell therapy in B-cell acute lymphoblastic leukaemia: Insights from mathematical models". Odelaisy León-Triana, Soukaina Sabir, Gabriel F. Calvo, Juan Belmonte-Beitia, Salvador Chulián, Álvaro Martínez-Rubio, María Rosa, Antonio Pérez-Martínez, Manuel Ramirez-Orellana, Víctor M. Pérez-García doi: 10.1016/j.cnsns.2020.105570 Comment: This model is based on equations (4a)-(4c). Abstract: Immunotherapies use components of the patient immune system to selectively target can- cer cells. The use of chimeric antigenic receptor (CAR) T cells to treat B-cell malignancies –leukaemias and lymphomas–is one of the most successful examples, with many patients experiencing long-lasting full responses to this therapy. This treatment works by extract- ing the patient’s T cells and transducing them with the CAR, enabling them to recognize and target cells carrying the antigen CD19 + , which is expressed in these haematological cancers. Here we put forward a mathematical model describing the time response of leukaemias to the injection of CAR T cells. The model accounts for mature and progenitor B-cells, leukaemic cells, CAR T cells and side effects by including the main biological processes involved. The model explains the early post-injection dynamics of the different compart- ments and the fact that the number of CAR T cells injected does not critically affect the treatment outcome. An explicit formula is found that gives the maximum CAR T cell ex- pansion in vivo and the severity of side effects. Our mathematical model captures other known features of the response to this immunotherapy. It also predicts that CD19 + cancer relapses could be the result of competition between leukaemic and CAR T cells, analogous to predator-prey dynamics. We discuss this in the light of the available evidence and the possibility of controlling relapses by early re-challenging of the leukaemia cells with stored CAR T cells.

Project description:This model is based on the publication: "CAR T cell therapy in B-cell acute lymphoblastic leukaemia: Insights from mathematical models". Odelaisy León-Triana, Soukaina Sabir, Gabriel F. Calvo, Juan Belmonte-Beitia, Salvador Chulián, Álvaro Martínez-Rubio, María Rosa, Antonio Pérez-Martínez, Manuel Ramirez-Orellana, Víctor M. Pérez-García doi: 10.1016/j.cnsns.2020.105570 Comment: This model is based on equations (3a)-(3c) from the paper. Abstract: Immunotherapies use components of the patient immune system to selectively target can- cer cells. The use of chimeric antigenic receptor (CAR) T cells to treat B-cell malignancies –leukaemias and lymphomas–is one of the most successful examples, with many patients experiencing long-lasting full responses to this therapy. This treatment works by extract- ing the patient’s T cells and transducing them with the CAR, enabling them to recognize and target cells carrying the antigen CD19 + , which is expressed in these haematological cancers. Here we put forward a mathematical model describing the time response of leukaemias to the injection of CAR T cells. The model accounts for mature and progenitor B-cells, leukaemic cells, CAR T cells and side effects by including the main biological processes involved. The model explains the early post-injection dynamics of the different compart- ments and the fact that the number of CAR T cells injected does not critically affect the treatment outcome. An explicit formula is found that gives the maximum CAR T cell ex- pansion in vivo and the severity of side effects. Our mathematical model captures other known features of the response to this immunotherapy. It also predicts that CD19 + cancer relapses could be the result of competition between leukaemic and CAR T cells, analogous to predator-prey dynamics. We discuss this in the light of the available evidence and the possibility of controlling relapses by early re-challenging of the leukaemia cells with stored CAR T cells.