THE EFFECT OF LENVATINIB AND PEMBROLIZUMAB ON THYROID CANCER REFRACTORY TO IODINE 131I SIMULATED BY MATHEMATICAL MODELING
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
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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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:29462024-08-05T20:42:25.608697Repositório 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 |
|
_version_ |
1808129237207482369 |