Bioengineered organotypic metastatic breast cancer mesenchymal stromal cell tumor models for drug screening
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/41009 |
Resumo: | Summary: Breast cancer (BC) is a highly aggressive and incurable disease in late stages of development. The tumor microenvironment (TME) in breast cancer is a master regulator of disease progression and dictates the clinical outcome in most of BC patients' interactions between the cellular and non-cellular components of the TME are now perceived as a crucial axis of tumor progression and drug resistance. Deepening our knowledge of BC ECM-TME interactions and of its cellular components can be crucial for discovering innovative therapeutic approaches. In this context, 3D in vitro tumor models capable of recapitulating extracellular matrix cues and the TME cellular landscape have unique potential for fundamental oncology research and new therapies preclinical screening. However, their high-throughput manufacture and high-cell density bioengineering have remained challenging. In this thesis a new bioengineered BC model based on breast-tissue specific decellularized matrix (dECM) was developed through the combinatorial application of superhydrophobic surfaces and photo crosslinking agents Ru/SPS to achieve spheroid-like cell densities within ECM enriched models. Moreover, the impact that the inclusion of cancer cells within this ECM mimetic environment has with and without varying populations of mesenchymal stem cells (e.g., derived from bone-marrow and adipose tissue) was studied, seeking to comprehend better how each population affects MDA-MB-231 cisplatin susceptibility and proving these platforms utility as both a study model and preclinical screening platform. In the end, a high cell density bead model with dECM and different cell cultures suitable for drug screening in Breast tumor context was produced. Using this ECM enriched models it was observed an increased resistance in stromal rich models to cisplatin, particularly noticeable when compared with dECM-free arrangements of the same populations. These results highlight the importance of developing 3D cancer models in a dECM-enriched setting, serving as platforms within which to further study the interactions present between tumor- associated mesenchymal stem cells and cancer cells, and therefore opening new pathways of research and therapy to be procured. |
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Bioengineered organotypic metastatic breast cancer mesenchymal stromal cell tumor models for drug screeningBreast cancerTumor microenvironmentExtracellular matrix3D in vitro modelsMesenchymal stem cellsSpheroidsPreclinical drug screeningSummary: Breast cancer (BC) is a highly aggressive and incurable disease in late stages of development. The tumor microenvironment (TME) in breast cancer is a master regulator of disease progression and dictates the clinical outcome in most of BC patients' interactions between the cellular and non-cellular components of the TME are now perceived as a crucial axis of tumor progression and drug resistance. Deepening our knowledge of BC ECM-TME interactions and of its cellular components can be crucial for discovering innovative therapeutic approaches. In this context, 3D in vitro tumor models capable of recapitulating extracellular matrix cues and the TME cellular landscape have unique potential for fundamental oncology research and new therapies preclinical screening. However, their high-throughput manufacture and high-cell density bioengineering have remained challenging. In this thesis a new bioengineered BC model based on breast-tissue specific decellularized matrix (dECM) was developed through the combinatorial application of superhydrophobic surfaces and photo crosslinking agents Ru/SPS to achieve spheroid-like cell densities within ECM enriched models. Moreover, the impact that the inclusion of cancer cells within this ECM mimetic environment has with and without varying populations of mesenchymal stem cells (e.g., derived from bone-marrow and adipose tissue) was studied, seeking to comprehend better how each population affects MDA-MB-231 cisplatin susceptibility and proving these platforms utility as both a study model and preclinical screening platform. In the end, a high cell density bead model with dECM and different cell cultures suitable for drug screening in Breast tumor context was produced. Using this ECM enriched models it was observed an increased resistance in stromal rich models to cisplatin, particularly noticeable when compared with dECM-free arrangements of the same populations. These results highlight the importance of developing 3D cancer models in a dECM-enriched setting, serving as platforms within which to further study the interactions present between tumor- associated mesenchymal stem cells and cancer cells, and therefore opening new pathways of research and therapy to be procured.Resumo: O cancro da mama (BC) é uma doença altamente agressiva e incurável em estádios avançados. O microambiente tumoral (TME) no cancro da mama desempenha um papel fundamental na progressão da doença e influencia o prognóstico clínico na maioria dos pacientes com BC. As interações entre os elementos celulares e não celulares do TME são agora consideradas um eixo crucial na progressão tumoral e na resistência aos medicamentos. Aprofundar o conhecimento das interações do ECM- TME do BC e dos seus componentes celulares pode ser fundamental para descobrir abordagens terapêuticas inovadoras. Neste contexto, os modelos tumorais 3D in vitro, capazes de reproduzir as características da matriz extracelular e do ambiente celular do TME, têm um potencial único para a investigação fundamental em oncologia e para o estudo pré-clínico de novas terapias. No entanto, a sua produção tem sido desafiante. Nesta tese, foi desenvolvido um novo modelo bioengenheirado de BC com base numa matriz descelularizada específica do tecido mamário (dECM) através da aplicação combinada de superfícies super-hidrofóbicas e agentes de fotocrosslinking Ru/SPS para atingir densidades celulares semelhantes a esferoides em modelos enriquecidos com ECM. Além disso, foi estudado o impacto da inclusão de células cancerígenas neste ambiente bio mimético do TME , com e sem populações variadas de células estromais mesenquimais (por exemplo, derivadas da medula óssea e do tecido adiposo), com o objetivo de compreender melhor como cada população afeta a suscetibilidade das células MDA-MB-231 a fármacos e de demonstrar a utilidade destas plataformas como modelos de estudo e triagem pré-clínica. Em última análise, foi criado um modelo de elevada densidade celular com dECM e diferentes culturas celulares adequadas para a triagem de fármacos no contexto do cancro da mama. Ao utilizar estes modelos enriquecidos com ECM, verificou-se um aumento da resistência nos modelos ricos em estroma à cisplatina, especialmente evidente quando comparados com modelos sem dECM. Estes resultados realçam a importância do desenvolvimento de modelos de cancro 3D num ambiente enriquecido com dECM, servindo como plataformas para aprofundar o estudo das interações entre células estromais associadas ao tumor e células cancerígenas, abrindo assim novas vias de investigação e terapia.2026-01-02T00:00:00Z2023-12-19T00:00:00Z2023-12-19info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/41009engLima, Hugo Macedoinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-18T01:47:35Zoai:ria.ua.pt:10773/41009Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T04:02:08.101072Repositório 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 |
Bioengineered organotypic metastatic breast cancer mesenchymal stromal cell tumor models for drug screening |
title |
Bioengineered organotypic metastatic breast cancer mesenchymal stromal cell tumor models for drug screening |
spellingShingle |
Bioengineered organotypic metastatic breast cancer mesenchymal stromal cell tumor models for drug screening Lima, Hugo Macedo Breast cancer Tumor microenvironment Extracellular matrix 3D in vitro models Mesenchymal stem cells Spheroids Preclinical drug screening |
title_short |
Bioengineered organotypic metastatic breast cancer mesenchymal stromal cell tumor models for drug screening |
title_full |
Bioengineered organotypic metastatic breast cancer mesenchymal stromal cell tumor models for drug screening |
title_fullStr |
Bioengineered organotypic metastatic breast cancer mesenchymal stromal cell tumor models for drug screening |
title_full_unstemmed |
Bioengineered organotypic metastatic breast cancer mesenchymal stromal cell tumor models for drug screening |
title_sort |
Bioengineered organotypic metastatic breast cancer mesenchymal stromal cell tumor models for drug screening |
author |
Lima, Hugo Macedo |
author_facet |
Lima, Hugo Macedo |
author_role |
author |
dc.contributor.author.fl_str_mv |
Lima, Hugo Macedo |
dc.subject.por.fl_str_mv |
Breast cancer Tumor microenvironment Extracellular matrix 3D in vitro models Mesenchymal stem cells Spheroids Preclinical drug screening |
topic |
Breast cancer Tumor microenvironment Extracellular matrix 3D in vitro models Mesenchymal stem cells Spheroids Preclinical drug screening |
description |
Summary: Breast cancer (BC) is a highly aggressive and incurable disease in late stages of development. The tumor microenvironment (TME) in breast cancer is a master regulator of disease progression and dictates the clinical outcome in most of BC patients' interactions between the cellular and non-cellular components of the TME are now perceived as a crucial axis of tumor progression and drug resistance. Deepening our knowledge of BC ECM-TME interactions and of its cellular components can be crucial for discovering innovative therapeutic approaches. In this context, 3D in vitro tumor models capable of recapitulating extracellular matrix cues and the TME cellular landscape have unique potential for fundamental oncology research and new therapies preclinical screening. However, their high-throughput manufacture and high-cell density bioengineering have remained challenging. In this thesis a new bioengineered BC model based on breast-tissue specific decellularized matrix (dECM) was developed through the combinatorial application of superhydrophobic surfaces and photo crosslinking agents Ru/SPS to achieve spheroid-like cell densities within ECM enriched models. Moreover, the impact that the inclusion of cancer cells within this ECM mimetic environment has with and without varying populations of mesenchymal stem cells (e.g., derived from bone-marrow and adipose tissue) was studied, seeking to comprehend better how each population affects MDA-MB-231 cisplatin susceptibility and proving these platforms utility as both a study model and preclinical screening platform. In the end, a high cell density bead model with dECM and different cell cultures suitable for drug screening in Breast tumor context was produced. Using this ECM enriched models it was observed an increased resistance in stromal rich models to cisplatin, particularly noticeable when compared with dECM-free arrangements of the same populations. These results highlight the importance of developing 3D cancer models in a dECM-enriched setting, serving as platforms within which to further study the interactions present between tumor- associated mesenchymal stem cells and cancer cells, and therefore opening new pathways of research and therapy to be procured. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-12-19T00:00:00Z 2023-12-19 2026-01-02T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/41009 |
url |
http://hdl.handle.net/10773/41009 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/embargoedAccess |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138193848664064 |