Strategies for the treatment of breast cancer: from classical drugs to mathematical models

Breast cancer is one of the most common cancers and generally affects women. It is a heterogeneous disease that presents different entities, different biological characteristics, and differentiated clinical behaviors. With this in mind, this literature review had as its main objective to analyze the...

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Autores principales:	Ana Costa, Nuno Vale
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	breast cancer drug repurposing immunotherapy nanoparticles mathematical models Biotechnology TP248.13-248.65 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/f221b853853047fda4c15f7bfe26d186
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spelling	oai:doaj.org-article:f221b853853047fda4c15f7bfe26d1862021-11-11T01:24:09ZStrategies for the treatment of breast cancer: from classical drugs to mathematical models10.3934/mbe.20213161551-0018https://doaj.org/article/f221b853853047fda4c15f7bfe26d1862021-07-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021316?viewType=HTMLhttps://doaj.org/toc/1551-0018Breast cancer is one of the most common cancers and generally affects women. It is a heterogeneous disease that presents different entities, different biological characteristics, and differentiated clinical behaviors. With this in mind, this literature review had as its main objective to analyze the path taken from the simple use of classical drugs to the application of mathematical models, which through the many ongoing studies, have been considered as one of the reliable strategies, explaining the reasons why chemotherapy is not always successful. Besides, the most commonly mentioned strategies are immunotherapy, which includes techniques and therapies such as the use of antibodies, cytokines, antitumor vaccines, oncolytic and genomic viruses, among others, and nanoparticles, including metallic, magnetic, polymeric, liposome, dendrimer, micelle, and others, as well as drug reuse, which is a process by which new therapeutic indications are found for existing and approved drugs. The most commonly used pharmacological categories are cardiac, antiparasitic, anthelmintic, antiviral, antibiotic, and others. For the efficient development of reused drugs, there must be a process of exchange of purposes, methods, and information already available, and for their better understanding, computational mathematical models are then used, of which the methods of blind search or screening, based on the target, knowledge, signature, pathway or network and the mechanism to which it is directed, stand out. To conclude it should be noted that these different strategies can be applied alone or in combination with each other always to improve breast cancer treatment.Ana CostaNuno ValeAIMS Pressarticlebreast cancerdrug repurposingimmunotherapynanoparticlesmathematical modelsBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 6328-6385 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	breast cancer drug repurposing immunotherapy nanoparticles mathematical models Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	breast cancer drug repurposing immunotherapy nanoparticles mathematical models Biotechnology TP248.13-248.65 Mathematics QA1-939 Ana Costa Nuno Vale Strategies for the treatment of breast cancer: from classical drugs to mathematical models
description	Breast cancer is one of the most common cancers and generally affects women. It is a heterogeneous disease that presents different entities, different biological characteristics, and differentiated clinical behaviors. With this in mind, this literature review had as its main objective to analyze the path taken from the simple use of classical drugs to the application of mathematical models, which through the many ongoing studies, have been considered as one of the reliable strategies, explaining the reasons why chemotherapy is not always successful. Besides, the most commonly mentioned strategies are immunotherapy, which includes techniques and therapies such as the use of antibodies, cytokines, antitumor vaccines, oncolytic and genomic viruses, among others, and nanoparticles, including metallic, magnetic, polymeric, liposome, dendrimer, micelle, and others, as well as drug reuse, which is a process by which new therapeutic indications are found for existing and approved drugs. The most commonly used pharmacological categories are cardiac, antiparasitic, anthelmintic, antiviral, antibiotic, and others. For the efficient development of reused drugs, there must be a process of exchange of purposes, methods, and information already available, and for their better understanding, computational mathematical models are then used, of which the methods of blind search or screening, based on the target, knowledge, signature, pathway or network and the mechanism to which it is directed, stand out. To conclude it should be noted that these different strategies can be applied alone or in combination with each other always to improve breast cancer treatment.
format	article
author	Ana Costa Nuno Vale
author_facet	Ana Costa Nuno Vale
author_sort	Ana Costa
title	Strategies for the treatment of breast cancer: from classical drugs to mathematical models
title_short	Strategies for the treatment of breast cancer: from classical drugs to mathematical models
title_full	Strategies for the treatment of breast cancer: from classical drugs to mathematical models
title_fullStr	Strategies for the treatment of breast cancer: from classical drugs to mathematical models
title_full_unstemmed	Strategies for the treatment of breast cancer: from classical drugs to mathematical models
title_sort	strategies for the treatment of breast cancer: from classical drugs to mathematical models
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/f221b853853047fda4c15f7bfe26d186
work_keys_str_mv	AT anacosta strategiesforthetreatmentofbreastcancerfromclassicaldrugstomathematicalmodels AT nunovale strategiesforthetreatmentofbreastcancerfromclassicaldrugstomathematicalmodels
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Strategies for the treatment of breast cancer: from classical drugs to mathematical models

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