Experimental Models as Refined Translational Tools for Breast Cancer Research

Detalhes bibliográficos
Autor(a) principal: Costa, Eduardo
Data de Publicação: 2020
Outros Autores: Ferreira-Gonçalves, Tânia, Chasqueira, Gonçalo, Cabrita, António S., Figueiredo, Isabel V., Reis, Catarina Pinto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/106693
https://doi.org/10.3390/scipharm88030032
Resumo: Breast cancer is one of the most common cancers worldwide, which makes it a very impactful malignancy in the society. Breast cancers can be classified through di erent systems based on the main tumor features and gene, protein, and cell receptors expression, which will determine the most advisable therapeutic course and expected outcomes. Multiple therapeutic options have already been proposed and implemented for breast cancer treatment. Nonetheless, their use and e cacy still greatly depend on the tumor classification, and treatments are commonly associated with invasiveness, pain, discomfort, severe side e ects, and poor specificity. This has demanded an investment in the research of the mechanisms behind the disease progression, evolution, and associated risk factors, and on novel diagnostic and therapeutic techniques. However, advances in the understanding and assessment of breast cancer are dependent on the ability to mimic the properties and microenvironment of tumors in vivo, which can be achieved through experimentation on animal models. This review covers an overview of the main animal models used in breast cancer research, namely in vitro models, in vivo models, in silico models, and other models. For each model, the main characteristics, advantages, and challenges associated to their use are highlighted.
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spelling Experimental Models as Refined Translational Tools for Breast Cancer Researchoncologybreast cancerexperimental modelsanimal modelsin vitroin silicopharmacological testingstrategies of drug developmentBreast cancer is one of the most common cancers worldwide, which makes it a very impactful malignancy in the society. Breast cancers can be classified through di erent systems based on the main tumor features and gene, protein, and cell receptors expression, which will determine the most advisable therapeutic course and expected outcomes. Multiple therapeutic options have already been proposed and implemented for breast cancer treatment. Nonetheless, their use and e cacy still greatly depend on the tumor classification, and treatments are commonly associated with invasiveness, pain, discomfort, severe side e ects, and poor specificity. This has demanded an investment in the research of the mechanisms behind the disease progression, evolution, and associated risk factors, and on novel diagnostic and therapeutic techniques. However, advances in the understanding and assessment of breast cancer are dependent on the ability to mimic the properties and microenvironment of tumors in vivo, which can be achieved through experimentation on animal models. This review covers an overview of the main animal models used in breast cancer research, namely in vitro models, in vivo models, in silico models, and other models. For each model, the main characteristics, advantages, and challenges associated to their use are highlighted.MDPI2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/106693http://hdl.handle.net/10316/106693https://doi.org/10.3390/scipharm88030032eng2218-0532Costa, EduardoFerreira-Gonçalves, TâniaChasqueira, GonçaloCabrita, António S.Figueiredo, Isabel V.Reis, Catarina Pintoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-04-17T10:05:43Zoai:estudogeral.uc.pt:10316/106693Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:23:06.360661Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Experimental Models as Refined Translational Tools for Breast Cancer Research
title Experimental Models as Refined Translational Tools for Breast Cancer Research
spellingShingle Experimental Models as Refined Translational Tools for Breast Cancer Research
Costa, Eduardo
oncology
breast cancer
experimental models
animal models
in vitro
in silico
pharmacological testing
strategies of drug development
title_short Experimental Models as Refined Translational Tools for Breast Cancer Research
title_full Experimental Models as Refined Translational Tools for Breast Cancer Research
title_fullStr Experimental Models as Refined Translational Tools for Breast Cancer Research
title_full_unstemmed Experimental Models as Refined Translational Tools for Breast Cancer Research
title_sort Experimental Models as Refined Translational Tools for Breast Cancer Research
author Costa, Eduardo
author_facet Costa, Eduardo
Ferreira-Gonçalves, Tânia
Chasqueira, Gonçalo
Cabrita, António S.
Figueiredo, Isabel V.
Reis, Catarina Pinto
author_role author
author2 Ferreira-Gonçalves, Tânia
Chasqueira, Gonçalo
Cabrita, António S.
Figueiredo, Isabel V.
Reis, Catarina Pinto
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Costa, Eduardo
Ferreira-Gonçalves, Tânia
Chasqueira, Gonçalo
Cabrita, António S.
Figueiredo, Isabel V.
Reis, Catarina Pinto
dc.subject.por.fl_str_mv oncology
breast cancer
experimental models
animal models
in vitro
in silico
pharmacological testing
strategies of drug development
topic oncology
breast cancer
experimental models
animal models
in vitro
in silico
pharmacological testing
strategies of drug development
description Breast cancer is one of the most common cancers worldwide, which makes it a very impactful malignancy in the society. Breast cancers can be classified through di erent systems based on the main tumor features and gene, protein, and cell receptors expression, which will determine the most advisable therapeutic course and expected outcomes. Multiple therapeutic options have already been proposed and implemented for breast cancer treatment. Nonetheless, their use and e cacy still greatly depend on the tumor classification, and treatments are commonly associated with invasiveness, pain, discomfort, severe side e ects, and poor specificity. This has demanded an investment in the research of the mechanisms behind the disease progression, evolution, and associated risk factors, and on novel diagnostic and therapeutic techniques. However, advances in the understanding and assessment of breast cancer are dependent on the ability to mimic the properties and microenvironment of tumors in vivo, which can be achieved through experimentation on animal models. This review covers an overview of the main animal models used in breast cancer research, namely in vitro models, in vivo models, in silico models, and other models. For each model, the main characteristics, advantages, and challenges associated to their use are highlighted.
publishDate 2020
dc.date.none.fl_str_mv 2020
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/106693
http://hdl.handle.net/10316/106693
https://doi.org/10.3390/scipharm88030032
url http://hdl.handle.net/10316/106693
https://doi.org/10.3390/scipharm88030032
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