Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/93879
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Campo DCValorIdioma
dc.contributor.advisorBrito, Catarina-
dc.contributor.advisorAlves, Paula-
dc.contributor.authorEstrada Magalhães e Menezes, Marta Maria Vieira Martinho Falcão-
dc.date.accessioned2020-03-06T15:05:05Z-
dc.date.available2021-11-30T01:30:26Z-
dc.date.issued2018-11-
dc.date.submitted2018-09-
dc.identifier.urihttp://hdl.handle.net/10362/93879-
dc.description.abstractBreast cancer is the most prevalent and deadly in woman. ER+ breast cancer represents around two-thirds of all cases and has a favourable prognosis due to good response to endocrine therapy. However, these tumours present 25% of disease relapse due to drug resistance and metastatic behaviour. Tumour progression and acquired drug resistance are modulated by the interactions between tumour cells and the surrounding microenvironment. Most models employed to address these mechanisms fail to reflect the complex tumour microenvironment and do not allow long-term monitoring of tumour progression. (...)pt_PT
dc.language.isoengpt_PT
dc.relationSFRH/BD/52208/2013pt_PT
dc.rightsopenAccesspt_PT
dc.subjectBreast Tumorpt_PT
dc.subjectCell Modelspt_PT
dc.titleNovel cell models to study breast tumour microenvironment and disease progressionpt_PT
dc.typedoctoralThesispt_PT
thesis.degree.nameDissertation presented to obtain the PhD degree in Engineering and Technology Sciencespt_PT
dc.subject.fosBiomedical Engineeringpt_PT
Aparece nas colecções:ITQB: CBL - PhD Theses

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