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Experimental Models as Refined Translational Tools for Breast Cancer Research

2020-07-31Journal article Open access
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dc.contributor.authorCosta, Eduardo
dc.contributor.authorFerreira-Gonçalves, Tânia
dc.contributor.authorChasqueira, Gonçalo
dc.contributor.authorCabrita, António S.
dc.contributor.authorFigueiredo, Isabel V.
dc.contributor.authorReis, Catarina Pinto
dc.date.accessioned2022-03-07T19:30:07Z
dc.date.available2022-03-07T19:30:07Z
dc.date.issued2020-07-31
dc.date.updated2022-02-21T09:37:09Z
dc.description.abstractBreast 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 different 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 efficacy still greatly depend on the tumor classification, and treatments are commonly associated with invasiveness, pain, discomfort, severe side effects, 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.pt_PT
dc.description.sponsorshipThis work was supported by Fundação para a Ciência e Tecnologia (FCT), Portugal under the Project Reference UID/DTP/04138/2019 and UIDB/00313/2020. T.F.-G. was supported by FCT, Portugal under the Reference SFRH/BD/147306/2019.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCosta E, Ferreira-Gonçalves T, Chasqueira G, Cabrita AS, Figueiredo IV, Reis CP. Experimental models as refined translational tools for breast cancer research. Sci Pharm [Internet]. 2020;88(3):32. Disponível em: https://www.mdpi.com/2218-0532/88/3/32pt_PT
dc.identifier.doi10.3390/scipharm88030032pt_PT
dc.identifier.eid2-s2.0-85090525437
dc.identifier.issn2218-0532
dc.identifier.slugcv-prod-2118248
dc.identifier.urihttp://hdl.handle.net/10451/51641
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationResearch Institute for Medicines
dc.relationCoimbra Chemistry Center
dc.relationNon-invasive photoactivated nanodevices for mammary cancer treatment
dc.relation.publisherversionhttps://www.mdpi.com/2218-0532/88/3/32pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectOncologypt_PT
dc.subjectBreast cancerpt_PT
dc.subjectExperimental modelspt_PT
dc.subjectAnimal modelspt_PT
dc.subjectIn vitropt_PT
dc.subjectIn silicopt_PT
dc.subjectPharmacological testingpt_PT
dc.subjectStrategies of drug developmentpt_PT
dc.titleExperimental Models as Refined Translational Tools for Breast Cancer Researchpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Institute for Medicines
oaire.awardTitleCoimbra Chemistry Center
oaire.awardTitleNon-invasive photoactivated nanodevices for mammary cancer treatment
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FDTP%2F04138%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00313%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F147306%2F2019/PT
oaire.citation.issue3pt_PT
oaire.citation.startPage32pt_PT
oaire.citation.titleScientia Pharmaceuticapt_PT
oaire.citation.volume88pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamOE
person.familyNameGonçalves
person.familyNameBeco Pinto Reis
person.givenNameTânia
person.givenNameAna Catarina
person.identifierM-8132-2013
person.identifier.ciencia-id2914-A05C-F762
person.identifier.ciencia-id1317-A7D6-3B1C
person.identifier.orcid0000-0001-9916-3907
person.identifier.orcid0000-0002-1046-4031
person.identifier.scopus-author-id57218871355
person.identifier.scopus-author-id14027161300
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.cv.cienciaid2914-A05C-F762 | Tânia Sofia Ferreira Gonçalves
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationf65c6fd6-44d0-44ed-9161-371024a59271
relation.isAuthorOfPublication228cdf0e-ac72-4d38-bab4-b766e376becc
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