Patient-derived explant cultures for cancer modelling

Detalhes bibliográficos
Autor(a) principal: Teixeira, Marta Carolina Jesus
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/130073
Resumo: "Cancer remains one of the deadliest diseases in the world. The process of drug discovery to find new drugs for oncology treatment takes more than a decade of research and it is associated with high attrition rates during clinical trials. One of the most common reasons claimed for the poor efficiency of new developed drugs is the lack of physiological relevance of the in vitro models used to select the novel compounds and to evaluate their potency. The role of tumor microenvironment on tumor progression and drug sensitivity is being increasingly studied and it is expected to provide significant clues for the development of novel therapies. Therefore, the incorporation of microenvironment features on cancer cell models during pre- clinical stages of research has the potential to improve significantly their predictive value. (...)"
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spelling Patient-derived explant cultures for cancer modellingOvarian cancerPatient-derived explantsTumor microenvironment3D cancer model"Cancer remains one of the deadliest diseases in the world. The process of drug discovery to find new drugs for oncology treatment takes more than a decade of research and it is associated with high attrition rates during clinical trials. One of the most common reasons claimed for the poor efficiency of new developed drugs is the lack of physiological relevance of the in vitro models used to select the novel compounds and to evaluate their potency. The role of tumor microenvironment on tumor progression and drug sensitivity is being increasingly studied and it is expected to provide significant clues for the development of novel therapies. Therefore, the incorporation of microenvironment features on cancer cell models during pre- clinical stages of research has the potential to improve significantly their predictive value. (...)"Universidade Nova de Lisboa. Instituto de Tecnologia Quimica e Biológica António XavierRUNTeixeira, Marta Carolina Jesus2022-01-02T01:42:36Z2018-012018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/130073enginfo: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:RCAAP2024-03-11T05:08:53Zoai:run.unl.pt:10362/130073Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:46:41.475233Repositório 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 Patient-derived explant cultures for cancer modelling
title Patient-derived explant cultures for cancer modelling
spellingShingle Patient-derived explant cultures for cancer modelling
Teixeira, Marta Carolina Jesus
Ovarian cancer
Patient-derived explants
Tumor microenvironment
3D cancer model
title_short Patient-derived explant cultures for cancer modelling
title_full Patient-derived explant cultures for cancer modelling
title_fullStr Patient-derived explant cultures for cancer modelling
title_full_unstemmed Patient-derived explant cultures for cancer modelling
title_sort Patient-derived explant cultures for cancer modelling
author Teixeira, Marta Carolina Jesus
author_facet Teixeira, Marta Carolina Jesus
author_role author
dc.contributor.none.fl_str_mv RUN
dc.contributor.author.fl_str_mv Teixeira, Marta Carolina Jesus
dc.subject.por.fl_str_mv Ovarian cancer
Patient-derived explants
Tumor microenvironment
3D cancer model
topic Ovarian cancer
Patient-derived explants
Tumor microenvironment
3D cancer model
description "Cancer remains one of the deadliest diseases in the world. The process of drug discovery to find new drugs for oncology treatment takes more than a decade of research and it is associated with high attrition rates during clinical trials. One of the most common reasons claimed for the poor efficiency of new developed drugs is the lack of physiological relevance of the in vitro models used to select the novel compounds and to evaluate their potency. The role of tumor microenvironment on tumor progression and drug sensitivity is being increasingly studied and it is expected to provide significant clues for the development of novel therapies. Therefore, the incorporation of microenvironment features on cancer cell models during pre- clinical stages of research has the potential to improve significantly their predictive value. (...)"
publishDate 2018
dc.date.none.fl_str_mv 2018-01
2018-01-01T00:00:00Z
2022-01-02T01:42:36Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/130073
url http://hdl.handle.net/10362/130073
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Universidade Nova de Lisboa. Instituto de Tecnologia Quimica e Biológica António Xavier
publisher.none.fl_str_mv Universidade Nova de Lisboa. Instituto de Tecnologia Quimica e Biológica António Xavier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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