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Optimal Combinations of Chemotherapy and Radiotherapy in Low-Grade Gliomas: A Mathematical Approach

Low-grade gliomas (LGGs) are brain tumors characterized by their slow growth and infiltrative nature. Treatment options for these tumors are surgery, radiation therapy and chemotherapy. The optimal use of radiation therapy and chemotherapy is still under study. In this paper, we construct a mathemat...

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Autores principales: Ayala-Hernández, Luis E., Gallegos, Armando, Schucht, Philippe, Murek, Michael, Pérez-Romasanta, Luis, Belmonte-Beitia, Juan, Pérez-García, Víctor M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537400/
https://www.ncbi.nlm.nih.gov/pubmed/34683177
http://dx.doi.org/10.3390/jpm11101036
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author Ayala-Hernández, Luis E.
Gallegos, Armando
Schucht, Philippe
Murek, Michael
Pérez-Romasanta, Luis
Belmonte-Beitia, Juan
Pérez-García, Víctor M.
author_facet Ayala-Hernández, Luis E.
Gallegos, Armando
Schucht, Philippe
Murek, Michael
Pérez-Romasanta, Luis
Belmonte-Beitia, Juan
Pérez-García, Víctor M.
author_sort Ayala-Hernández, Luis E.
collection PubMed
description Low-grade gliomas (LGGs) are brain tumors characterized by their slow growth and infiltrative nature. Treatment options for these tumors are surgery, radiation therapy and chemotherapy. The optimal use of radiation therapy and chemotherapy is still under study. In this paper, we construct a mathematical model of LGG response to combinations of chemotherapy, specifically to the alkylating agent temozolomide and radiation therapy. Patient-specific parameters were obtained from longitudinal imaging data of the response of real LGG patients. Computer simulations showed that concurrent cycles of radiation therapy and temozolomide could provide the best therapeutic efficacy in-silico for the patients included in the study. The patient cohort was extended computationally to a set of 3000 virtual patients. This virtual cohort was subject to an in-silico trial in which matching the doses of radiotherapy to those of temozolomide in the first five days of each cycle improved overall survival over concomitant radio-chemotherapy according to RTOG 0424. Thus, the proposed treatment schedule could be investigated in a clinical setting to improve combination treatments in LGGs with substantial survival benefits.
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spelling pubmed-85374002021-10-24 Optimal Combinations of Chemotherapy and Radiotherapy in Low-Grade Gliomas: A Mathematical Approach Ayala-Hernández, Luis E. Gallegos, Armando Schucht, Philippe Murek, Michael Pérez-Romasanta, Luis Belmonte-Beitia, Juan Pérez-García, Víctor M. J Pers Med Article Low-grade gliomas (LGGs) are brain tumors characterized by their slow growth and infiltrative nature. Treatment options for these tumors are surgery, radiation therapy and chemotherapy. The optimal use of radiation therapy and chemotherapy is still under study. In this paper, we construct a mathematical model of LGG response to combinations of chemotherapy, specifically to the alkylating agent temozolomide and radiation therapy. Patient-specific parameters were obtained from longitudinal imaging data of the response of real LGG patients. Computer simulations showed that concurrent cycles of radiation therapy and temozolomide could provide the best therapeutic efficacy in-silico for the patients included in the study. The patient cohort was extended computationally to a set of 3000 virtual patients. This virtual cohort was subject to an in-silico trial in which matching the doses of radiotherapy to those of temozolomide in the first five days of each cycle improved overall survival over concomitant radio-chemotherapy according to RTOG 0424. Thus, the proposed treatment schedule could be investigated in a clinical setting to improve combination treatments in LGGs with substantial survival benefits. MDPI 2021-10-16 /pmc/articles/PMC8537400/ /pubmed/34683177 http://dx.doi.org/10.3390/jpm11101036 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ayala-Hernández, Luis E.
Gallegos, Armando
Schucht, Philippe
Murek, Michael
Pérez-Romasanta, Luis
Belmonte-Beitia, Juan
Pérez-García, Víctor M.
Optimal Combinations of Chemotherapy and Radiotherapy in Low-Grade Gliomas: A Mathematical Approach
title Optimal Combinations of Chemotherapy and Radiotherapy in Low-Grade Gliomas: A Mathematical Approach
title_full Optimal Combinations of Chemotherapy and Radiotherapy in Low-Grade Gliomas: A Mathematical Approach
title_fullStr Optimal Combinations of Chemotherapy and Radiotherapy in Low-Grade Gliomas: A Mathematical Approach
title_full_unstemmed Optimal Combinations of Chemotherapy and Radiotherapy in Low-Grade Gliomas: A Mathematical Approach
title_short Optimal Combinations of Chemotherapy and Radiotherapy in Low-Grade Gliomas: A Mathematical Approach
title_sort optimal combinations of chemotherapy and radiotherapy in low-grade gliomas: a mathematical approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537400/
https://www.ncbi.nlm.nih.gov/pubmed/34683177
http://dx.doi.org/10.3390/jpm11101036
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