Mathematical Modeling of Immunotherapy for Tumors: Computational Analysis of Adoptive Cell Therapy with Interleukin-2

Detalhes bibliográficos
Autor(a) principal: Antunes, Jeferson Miguel Melo
Data de Publicação: 2024
Outros Autores: Rosa, Valéria Mattos da
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Revista Brasileira de Cancerologia (Online)
Texto Completo: https://rbc.inca.gov.br/index.php/revista/article/view/4446
Resumo: Introduction: Cancer is one of the main causes of death in the world, but there are still unknown aspects of its dynamics. An important tool for its study is mathematical modeling, which analyzes and projects tumor behavior. A model must be validated in silico to be useful. Objective: Validate a mathematical model for immunotherapy against tumors, to evaluate how the cellular composition of the adoptive cell therapy interferes with the response and which is the most appropriate scheme for administering interleukin-2 in terms of dose and time of use. Method: An ordinary differential equation model was developed. The parameters were obtained from the literature, adapted or simulated. The solutions were found using Octave 8.1.0 software and compared with the literature. Results: The results, compared with data from clinical trials and other modeling, show that the model is valid for reproducing tumor dynamics. In addition, infusion of adoptive cell therapy with a predominance of CD8+ T lymphocytes appears slightly more advantageous than infusion with a predominance of CD4+ T lymphocytes; high but tolerable doses of interleukin-2 generate a better anti-tumor response; and longer administration of interleukin-2 maximizes the response. Conclusion: The model is valid for studying tumor dynamics and can help in the development of new research. In addition, immunotherapy with a predominance of CD8+ T lymphocytes over CD4+ T lymphocytes and with interleukin-2 in higher doses and for longer periods, respecting tolerance, showed better results in silico.
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spelling Mathematical Modeling of Immunotherapy for Tumors: Computational Analysis of Adoptive Cell Therapy with Interleukin-2Modelización Matemática de la Inmunoterapia de Tumores: Análisis Computacional de la Terapia Celular Adoptiva con Interleucina-2Modelagem Matemática da Imunoterapia para Tumores: Análise Computacional da Terapia Celular Adotiva com Interleucina-2Modelos TeóricosSimulação por ComputadorImunoterapia AdotivaNeoplasias/epidemiologiaModels, TheoreticalComputer SimulationImmunotherapy, AdoptiveNeoplasms/epidemiologyModelos TeóricosSimulación por ComputadorInmunoterapia AdoptivaNeoplasias/epidemiologíaIntroduction: Cancer is one of the main causes of death in the world, but there are still unknown aspects of its dynamics. An important tool for its study is mathematical modeling, which analyzes and projects tumor behavior. A model must be validated in silico to be useful. Objective: Validate a mathematical model for immunotherapy against tumors, to evaluate how the cellular composition of the adoptive cell therapy interferes with the response and which is the most appropriate scheme for administering interleukin-2 in terms of dose and time of use. Method: An ordinary differential equation model was developed. The parameters were obtained from the literature, adapted or simulated. The solutions were found using Octave 8.1.0 software and compared with the literature. Results: The results, compared with data from clinical trials and other modeling, show that the model is valid for reproducing tumor dynamics. In addition, infusion of adoptive cell therapy with a predominance of CD8+ T lymphocytes appears slightly more advantageous than infusion with a predominance of CD4+ T lymphocytes; high but tolerable doses of interleukin-2 generate a better anti-tumor response; and longer administration of interleukin-2 maximizes the response. Conclusion: The model is valid for studying tumor dynamics and can help in the development of new research. In addition, immunotherapy with a predominance of CD8+ T lymphocytes over CD4+ T lymphocytes and with interleukin-2 in higher doses and for longer periods, respecting tolerance, showed better results in silico.Introducción: El cáncer es una de las principales causas de muerte en todo el mundo, pero aún se desconocen aspectos de su dinámica. Una herramienta importante para su estudio es la modelización matemática, que analiza y proyecta el comportamiento tumoral. Para que un modelo sea útil debe ser validado in silico. Objetivo: Validar un modelo matemático de inmunoterapia contra tumores, evaluar cómo interfiere la composición celular de la terapia celular adoptiva en la respuesta y cuál es el esquema más adecuado de administración de interleuquina-2 en cuanto a dosis y tiempo de utilización. Método: Se desarrolló un modelo de ecuaciones diferenciales ordinarias. Los parámetros se obtuvieron de la literatura, se adaptaron o se simularon. Las soluciones se hallaron con el software Octave 8.1.0 y se compararon con las de la bibliografía. Resultados: Los resultados, comparados con datos de ensayos clínicos y otras modelizaciones, muestran que el modelo es válido para reproducir la dinámica tumoral. Además, la infusión de terapia celular adoptiva con predominio de linfocitos T CD8+ parece ligeramente más ventajosa que la infusión con predominio de linfocitos T CD4+; dosis altas pero tolerables de interleuquina-2 generan una mejor respuesta antitumoral; y la administración de interleuquina-2 durante más tiempo maximiza la respuesta. Conclusión: El modelo es válido para estudiar la dinámica tumoral y podría ayudar en el desarrollo de nuevas investigaciones. Además, la inmunoterapia con predominio de linfocitos T CD8+ sobre linfocitos T CD4+ y con interleuquina-2 en dosis más altas y durante más tiempo, respetando la tolerancia, mostró mejores resultados in silico.Introdução: O câncer é uma das principais causas de óbito no mundo, mas ainda há aspectos desconhecidos da sua dinâmica. Uma importante ferramenta para seu estudo é a modelagem matemática, que analisa e projeta o comportamento tumoral. Um modelo deve ser validado in silico para ser útil. Objetivo: Validar um modelo matemático para imunoterapia contra tumores, avaliar como a composição celular da terapia celular adotiva interfere na resposta e qual o esquema mais adequado para administração de interleucina-2 quanto à dose e ao tempo de uso. Método: Foi desenvolvido um modelo de equações diferenciais ordinárias. Os parâmetros foram obtidos da literatura, adaptados ou simulados. As soluções foram encontradas usando o software Octave 8.1.0 e comparadas com a literatura. Resultados: Os resultados, comparados com dados de ensaios clínicos e outras modelagens, mostram que o modelo é válido para reproduzir a dinâmica tumoral. Ademais, a infusão da terapia celular adotiva com predomínio de linfócitos T CD8+ parece ligeiramente mais vantajosa do que a infusão com predomínio de linfócitos T CD4+; doses altas, porém toleráveis, de interleucina-2 geram melhor resposta antitumoral; e a administração de interleucina-2 por mais tempo maximiza a resposta. Conclusão: O modelo é válido para estudo da dinâmica tumoral e pode auxiliar no desenvolvimento de novas pesquisas. Adicionalmente, a imunoterapia com predomínio de linfócitos T CD8+ em relação a linfócitos T CD4+ e com interleucina-2 em doses mais altas e por mais tempo, respeitando a tolerância, apresentou melhores resultados in silico.INCA2024-04-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigos, Avaliado pelos paresapplication/pdfapplication/pdfhttps://rbc.inca.gov.br/index.php/revista/article/view/444610.32635/2176-9745.RBC.2024v70n1.4446Revista Brasileira de Cancerologia; Vol. 70 No. 1 (2024): Jan./Feb./Mar.; e-164446Revista Brasileira de Cancerologia; Vol. 70 Núm. 1 (2024): ene./feb./mar.; e-164446Revista Brasileira de Cancerologia; v. 70 n. 1 (2024): jan./fev./mar.; e-1644462176-9745reponame:Revista Brasileira de Cancerologia (Online)instname:Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA)instacron:INCAporenghttps://rbc.inca.gov.br/index.php/revista/article/view/4446/3402https://rbc.inca.gov.br/index.php/revista/article/view/4446/3403Copyright (c) 2024 Revista Brasileira de Cancerologiahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAntunes, Jeferson Miguel Melo Rosa, Valéria Mattos da2024-04-15T17:47:31Zoai:rbc.inca.gov.br:article/4446Revistahttps://rbc.inca.gov.br/index.php/revistaPUBhttps://rbc.inca.gov.br/index.php/revista/oairbc@inca.gov.br0034-71162176-9745opendoar:2024-04-15T17:47:31Revista Brasileira de Cancerologia (Online) - Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA)false
dc.title.none.fl_str_mv Mathematical Modeling of Immunotherapy for Tumors: Computational Analysis of Adoptive Cell Therapy with Interleukin-2
Modelización Matemática de la Inmunoterapia de Tumores: Análisis Computacional de la Terapia Celular Adoptiva con Interleucina-2
Modelagem Matemática da Imunoterapia para Tumores: Análise Computacional da Terapia Celular Adotiva com Interleucina-2
title Mathematical Modeling of Immunotherapy for Tumors: Computational Analysis of Adoptive Cell Therapy with Interleukin-2
spellingShingle Mathematical Modeling of Immunotherapy for Tumors: Computational Analysis of Adoptive Cell Therapy with Interleukin-2
Antunes, Jeferson Miguel Melo
Modelos Teóricos
Simulação por Computador
Imunoterapia Adotiva
Neoplasias/epidemiologia
Models, Theoretical
Computer Simulation
Immunotherapy, Adoptive
Neoplasms/epidemiology
Modelos Teóricos
Simulación por Computador
Inmunoterapia Adoptiva
Neoplasias/epidemiología
title_short Mathematical Modeling of Immunotherapy for Tumors: Computational Analysis of Adoptive Cell Therapy with Interleukin-2
title_full Mathematical Modeling of Immunotherapy for Tumors: Computational Analysis of Adoptive Cell Therapy with Interleukin-2
title_fullStr Mathematical Modeling of Immunotherapy for Tumors: Computational Analysis of Adoptive Cell Therapy with Interleukin-2
title_full_unstemmed Mathematical Modeling of Immunotherapy for Tumors: Computational Analysis of Adoptive Cell Therapy with Interleukin-2
title_sort Mathematical Modeling of Immunotherapy for Tumors: Computational Analysis of Adoptive Cell Therapy with Interleukin-2
author Antunes, Jeferson Miguel Melo
author_facet Antunes, Jeferson Miguel Melo
Rosa, Valéria Mattos da
author_role author
author2 Rosa, Valéria Mattos da
author2_role author
dc.contributor.author.fl_str_mv Antunes, Jeferson Miguel Melo
Rosa, Valéria Mattos da
dc.subject.por.fl_str_mv Modelos Teóricos
Simulação por Computador
Imunoterapia Adotiva
Neoplasias/epidemiologia
Models, Theoretical
Computer Simulation
Immunotherapy, Adoptive
Neoplasms/epidemiology
Modelos Teóricos
Simulación por Computador
Inmunoterapia Adoptiva
Neoplasias/epidemiología
topic Modelos Teóricos
Simulação por Computador
Imunoterapia Adotiva
Neoplasias/epidemiologia
Models, Theoretical
Computer Simulation
Immunotherapy, Adoptive
Neoplasms/epidemiology
Modelos Teóricos
Simulación por Computador
Inmunoterapia Adoptiva
Neoplasias/epidemiología
description Introduction: Cancer is one of the main causes of death in the world, but there are still unknown aspects of its dynamics. An important tool for its study is mathematical modeling, which analyzes and projects tumor behavior. A model must be validated in silico to be useful. Objective: Validate a mathematical model for immunotherapy against tumors, to evaluate how the cellular composition of the adoptive cell therapy interferes with the response and which is the most appropriate scheme for administering interleukin-2 in terms of dose and time of use. Method: An ordinary differential equation model was developed. The parameters were obtained from the literature, adapted or simulated. The solutions were found using Octave 8.1.0 software and compared with the literature. Results: The results, compared with data from clinical trials and other modeling, show that the model is valid for reproducing tumor dynamics. In addition, infusion of adoptive cell therapy with a predominance of CD8+ T lymphocytes appears slightly more advantageous than infusion with a predominance of CD4+ T lymphocytes; high but tolerable doses of interleukin-2 generate a better anti-tumor response; and longer administration of interleukin-2 maximizes the response. Conclusion: The model is valid for studying tumor dynamics and can help in the development of new research. In addition, immunotherapy with a predominance of CD8+ T lymphocytes over CD4+ T lymphocytes and with interleukin-2 in higher doses and for longer periods, respecting tolerance, showed better results in silico.
publishDate 2024
dc.date.none.fl_str_mv 2024-04-15
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artigos, Avaliado pelos pares
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rbc.inca.gov.br/index.php/revista/article/view/4446
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url https://rbc.inca.gov.br/index.php/revista/article/view/4446
identifier_str_mv 10.32635/2176-9745.RBC.2024v70n1.4446
dc.language.iso.fl_str_mv por
eng
language por
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dc.relation.none.fl_str_mv https://rbc.inca.gov.br/index.php/revista/article/view/4446/3402
https://rbc.inca.gov.br/index.php/revista/article/view/4446/3403
dc.rights.driver.fl_str_mv Copyright (c) 2024 Revista Brasileira de Cancerologia
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Revista Brasileira de Cancerologia
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv INCA
publisher.none.fl_str_mv INCA
dc.source.none.fl_str_mv Revista Brasileira de Cancerologia; Vol. 70 No. 1 (2024): Jan./Feb./Mar.; e-164446
Revista Brasileira de Cancerologia; Vol. 70 Núm. 1 (2024): ene./feb./mar.; e-164446
Revista Brasileira de Cancerologia; v. 70 n. 1 (2024): jan./fev./mar.; e-164446
2176-9745
reponame:Revista Brasileira de Cancerologia (Online)
instname:Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA)
instacron:INCA
instname_str Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA)
instacron_str INCA
institution INCA
reponame_str Revista Brasileira de Cancerologia (Online)
collection Revista Brasileira de Cancerologia (Online)
repository.name.fl_str_mv Revista Brasileira de Cancerologia (Online) - Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA)
repository.mail.fl_str_mv rbc@inca.gov.br
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