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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8537400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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