CAR-T Cell Therapy for the Treatment of ALL: Eradication Conditions and In Silico Experimentation
In this paper, we explore the application of Chimeric Antigen Receptor (CAR) T cell therapy for the treatment of Acute Lymphocytic Leukaemia (ALL) by means of in silico experimentation, mathematical modelling through first-order Ordinary Differential Equations and nonlinear systems theory. By combin...
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doaj-0445540a39944182bdf418b0b3396a262021-09-26T00:15:30ZengMDPI AGHemato2673-63572021-07-0122844146210.3390/hemato2030028CAR-T Cell Therapy for the Treatment of ALL: Eradication Conditions and In Silico ExperimentationPaul A. Valle0Luis N. Coria1Corina Plata2Yolocuauhtli Salazar3Postgraduate Program in Engineering Sciences, BioMath Research Group, Tecnológico Nacional de México/IT Tijuana, Blvd. Alberto Limón Padilla s/n, Tijuana 22454, MexicoPostgraduate Program in Engineering Sciences, BioMath Research Group, Tecnológico Nacional de México/IT Tijuana, Blvd. Alberto Limón Padilla s/n, Tijuana 22454, MexicoPostgraduate Program in Engineering Sciences, BioMath Research Group, Tecnológico Nacional de México/IT Tijuana, Blvd. Alberto Limón Padilla s/n, Tijuana 22454, MexicoPostgraduate Program in Engineering, Tecnológico Nacional de México/IT Durango, Blvd. Felipe Pescador 1830 ote., Durango 34080, MexicoIn this paper, we explore the application of Chimeric Antigen Receptor (CAR) T cell therapy for the treatment of Acute Lymphocytic Leukaemia (ALL) by means of in silico experimentation, mathematical modelling through first-order Ordinary Differential Equations and nonlinear systems theory. By combining the latter with systems biology on cancer evolution we were able to establish a sufficient condition on the therapy dose to ensure complete response. The latter is illustrated across multiple numerical simulations when comparing three mathematically formulated administration protocols with one of a phase 1 dose-escalation trial on CAR-T cells for the treatment of ALL on children and young adults. Therefore, both our analytical and in silico results are consistent with real-life scenarios. Finally, our research indicates that tumour cells growth rate and the killing efficacy of the therapy are key factors in the designing of personalised strategies for cancer treatment.https://www.mdpi.com/2673-6357/2/3/28acute lymphocytic leukaemiacancer eradication conditionsCAR-T cell therapycomplete responsein silicomathematical modelling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Paul A. Valle Luis N. Coria Corina Plata Yolocuauhtli Salazar |
spellingShingle |
Paul A. Valle Luis N. Coria Corina Plata Yolocuauhtli Salazar CAR-T Cell Therapy for the Treatment of ALL: Eradication Conditions and In Silico Experimentation Hemato acute lymphocytic leukaemia cancer eradication conditions CAR-T cell therapy complete response in silico mathematical modelling |
author_facet |
Paul A. Valle Luis N. Coria Corina Plata Yolocuauhtli Salazar |
author_sort |
Paul A. Valle |
title |
CAR-T Cell Therapy for the Treatment of ALL: Eradication Conditions and In Silico Experimentation |
title_short |
CAR-T Cell Therapy for the Treatment of ALL: Eradication Conditions and In Silico Experimentation |
title_full |
CAR-T Cell Therapy for the Treatment of ALL: Eradication Conditions and In Silico Experimentation |
title_fullStr |
CAR-T Cell Therapy for the Treatment of ALL: Eradication Conditions and In Silico Experimentation |
title_full_unstemmed |
CAR-T Cell Therapy for the Treatment of ALL: Eradication Conditions and In Silico Experimentation |
title_sort |
car-t cell therapy for the treatment of all: eradication conditions and in silico experimentation |
publisher |
MDPI AG |
series |
Hemato |
issn |
2673-6357 |
publishDate |
2021-07-01 |
description |
In this paper, we explore the application of Chimeric Antigen Receptor (CAR) T cell therapy for the treatment of Acute Lymphocytic Leukaemia (ALL) by means of in silico experimentation, mathematical modelling through first-order Ordinary Differential Equations and nonlinear systems theory. By combining the latter with systems biology on cancer evolution we were able to establish a sufficient condition on the therapy dose to ensure complete response. The latter is illustrated across multiple numerical simulations when comparing three mathematically formulated administration protocols with one of a phase 1 dose-escalation trial on CAR-T cells for the treatment of ALL on children and young adults. Therefore, both our analytical and in silico results are consistent with real-life scenarios. Finally, our research indicates that tumour cells growth rate and the killing efficacy of the therapy are key factors in the designing of personalised strategies for cancer treatment. |
topic |
acute lymphocytic leukaemia cancer eradication conditions CAR-T cell therapy complete response in silico mathematical modelling |
url |
https://www.mdpi.com/2673-6357/2/3/28 |
work_keys_str_mv |
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1717366558562451456 |