THE EFFECT OF LENVATINIB AND PEMBROLIZUMAB ON THYROID CANCER REFRACTORY TO IODINE 131I SIMULATED BY MATHEMATICAL MODELING

Detalhes bibliográficos
Autor(a) principal: Silva, Jairo Gomes da
Data de Publicação: 2022
Outros Autores: Silva, Izabel Cristina Rodrigues da, Adimy, Mostafa, Mancera, Paulo Fernando De Arruda [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1142/S0218339022500036
http://hdl.handle.net/11449/239935
Resumo: Immunotherapy and targeted therapy are alternative treatments to differentiated thyroid cancer (DTC), which is usually treated with surgery and radioactive iodine. However, in advanced thyroid carcinomas, molecular alterations can cause a progressive loss of iodine sensitivity, thereby making cancer resistant to radioactive iodine-refractory (RAIR). In the treatment of cancer, tyrosine kinase inhibitors are administered to prevent the growth of cancer cells. One such inhibitor, lenvatinib, forms a targeted therapy for RAIRDTC, while the immunotherapeutic pembrolizumab, a humanized antibody, prevents the binding of programmed cell death ligand 1 (PD-L1) to the PD-1 receptor. As one of the first studies on treatments for thyroid cancer with mathematical model involving immunotherapy and targeted therapy, we developed an ordinary differential system and tested variables such as concentration of lenvatinib and pembrolizumab, total cancer cells, and number of immune cells (i.e., T cells and natural killer cells). Analyzing local and global stability and the simulated action of drugs in patients with RAIR-DTC, revealed the combined effect of the targeted therapy with pembrolizumab. The scenarios obtained favor the combined therapy as the best treatment option, given its unrivaled ability to boost the immune system's rate of eliminating tumor cells.
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spelling THE EFFECT OF LENVATINIB AND PEMBROLIZUMAB ON THYROID CANCER REFRACTORY TO IODINE 131I SIMULATED BY MATHEMATICAL MODELINGAsymptotic StabilityImmune SystemImmunotherapyLyapunov FunctionMathematical ModelTargeted TherapyThyroid TumorImmunotherapy and targeted therapy are alternative treatments to differentiated thyroid cancer (DTC), which is usually treated with surgery and radioactive iodine. However, in advanced thyroid carcinomas, molecular alterations can cause a progressive loss of iodine sensitivity, thereby making cancer resistant to radioactive iodine-refractory (RAIR). In the treatment of cancer, tyrosine kinase inhibitors are administered to prevent the growth of cancer cells. One such inhibitor, lenvatinib, forms a targeted therapy for RAIRDTC, while the immunotherapeutic pembrolizumab, a humanized antibody, prevents the binding of programmed cell death ligand 1 (PD-L1) to the PD-1 receptor. As one of the first studies on treatments for thyroid cancer with mathematical model involving immunotherapy and targeted therapy, we developed an ordinary differential system and tested variables such as concentration of lenvatinib and pembrolizumab, total cancer cells, and number of immune cells (i.e., T cells and natural killer cells). Analyzing local and global stability and the simulated action of drugs in patients with RAIR-DTC, revealed the combined effect of the targeted therapy with pembrolizumab. The scenarios obtained favor the combined therapy as the best treatment option, given its unrivaled ability to boost the immune system's rate of eliminating tumor cells.Instituto Federal de Mato Grosso (IFMT), Campus de Barra do Garças, MTFaculdade de Ceilândia Universidade de Brasilia (UnB), Ceilândia Sul, DFINRIA Univ Lyon Université de Lyon 1 Institute Camille Jordan, 43 Bd. du 11 novembre 1918Universidade Estadual Paulista (UNESP) Instituto de Biociências, SPUniversidade Estadual Paulista (UNESP) Instituto de Biociências, SPInstituto Federal de Mato Grosso (IFMT)Universidade de Brasília (UnB)Institute Camille JordanUniversidade Estadual Paulista (UNESP)Silva, Jairo Gomes daSilva, Izabel Cristina Rodrigues daAdimy, MostafaMancera, Paulo Fernando De Arruda [UNESP]2023-03-01T19:54:10Z2023-03-01T19:54:10Z2022-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article93-112http://dx.doi.org/10.1142/S0218339022500036Journal of Biological Systems, v. 30, n. 1, p. 93-112, 2022.0218-3390http://hdl.handle.net/11449/23993510.1142/S02183390225000362-s2.0-85128774048Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Biological Systemsinfo:eu-repo/semantics/openAccess2023-03-01T19:54:10Zoai:repositorio.unesp.br:11449/239935Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-03-01T19:54:10Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv THE EFFECT OF LENVATINIB AND PEMBROLIZUMAB ON THYROID CANCER REFRACTORY TO IODINE 131I SIMULATED BY MATHEMATICAL MODELING
title THE EFFECT OF LENVATINIB AND PEMBROLIZUMAB ON THYROID CANCER REFRACTORY TO IODINE 131I SIMULATED BY MATHEMATICAL MODELING
spellingShingle THE EFFECT OF LENVATINIB AND PEMBROLIZUMAB ON THYROID CANCER REFRACTORY TO IODINE 131I SIMULATED BY MATHEMATICAL MODELING
Silva, Jairo Gomes da
Asymptotic Stability
Immune System
Immunotherapy
Lyapunov Function
Mathematical Model
Targeted Therapy
Thyroid Tumor
title_short THE EFFECT OF LENVATINIB AND PEMBROLIZUMAB ON THYROID CANCER REFRACTORY TO IODINE 131I SIMULATED BY MATHEMATICAL MODELING
title_full THE EFFECT OF LENVATINIB AND PEMBROLIZUMAB ON THYROID CANCER REFRACTORY TO IODINE 131I SIMULATED BY MATHEMATICAL MODELING
title_fullStr THE EFFECT OF LENVATINIB AND PEMBROLIZUMAB ON THYROID CANCER REFRACTORY TO IODINE 131I SIMULATED BY MATHEMATICAL MODELING
title_full_unstemmed THE EFFECT OF LENVATINIB AND PEMBROLIZUMAB ON THYROID CANCER REFRACTORY TO IODINE 131I SIMULATED BY MATHEMATICAL MODELING
title_sort THE EFFECT OF LENVATINIB AND PEMBROLIZUMAB ON THYROID CANCER REFRACTORY TO IODINE 131I SIMULATED BY MATHEMATICAL MODELING
author Silva, Jairo Gomes da
author_facet Silva, Jairo Gomes da
Silva, Izabel Cristina Rodrigues da
Adimy, Mostafa
Mancera, Paulo Fernando De Arruda [UNESP]
author_role author
author2 Silva, Izabel Cristina Rodrigues da
Adimy, Mostafa
Mancera, Paulo Fernando De Arruda [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Instituto Federal de Mato Grosso (IFMT)
Universidade de Brasília (UnB)
Institute Camille Jordan
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Silva, Jairo Gomes da
Silva, Izabel Cristina Rodrigues da
Adimy, Mostafa
Mancera, Paulo Fernando De Arruda [UNESP]
dc.subject.por.fl_str_mv Asymptotic Stability
Immune System
Immunotherapy
Lyapunov Function
Mathematical Model
Targeted Therapy
Thyroid Tumor
topic Asymptotic Stability
Immune System
Immunotherapy
Lyapunov Function
Mathematical Model
Targeted Therapy
Thyroid Tumor
description Immunotherapy and targeted therapy are alternative treatments to differentiated thyroid cancer (DTC), which is usually treated with surgery and radioactive iodine. However, in advanced thyroid carcinomas, molecular alterations can cause a progressive loss of iodine sensitivity, thereby making cancer resistant to radioactive iodine-refractory (RAIR). In the treatment of cancer, tyrosine kinase inhibitors are administered to prevent the growth of cancer cells. One such inhibitor, lenvatinib, forms a targeted therapy for RAIRDTC, while the immunotherapeutic pembrolizumab, a humanized antibody, prevents the binding of programmed cell death ligand 1 (PD-L1) to the PD-1 receptor. As one of the first studies on treatments for thyroid cancer with mathematical model involving immunotherapy and targeted therapy, we developed an ordinary differential system and tested variables such as concentration of lenvatinib and pembrolizumab, total cancer cells, and number of immune cells (i.e., T cells and natural killer cells). Analyzing local and global stability and the simulated action of drugs in patients with RAIR-DTC, revealed the combined effect of the targeted therapy with pembrolizumab. The scenarios obtained favor the combined therapy as the best treatment option, given its unrivaled ability to boost the immune system's rate of eliminating tumor cells.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-01
2023-03-01T19:54:10Z
2023-03-01T19:54:10Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1142/S0218339022500036
Journal of Biological Systems, v. 30, n. 1, p. 93-112, 2022.
0218-3390
http://hdl.handle.net/11449/239935
10.1142/S0218339022500036
2-s2.0-85128774048
url http://dx.doi.org/10.1142/S0218339022500036
http://hdl.handle.net/11449/239935
identifier_str_mv Journal of Biological Systems, v. 30, n. 1, p. 93-112, 2022.
0218-3390
10.1142/S0218339022500036
2-s2.0-85128774048
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Biological Systems
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 93-112
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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