Browsing by Author "Costa, T"
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- B-ON: Online Knowledge LibraryPublication . Costa, T; Donato, H
- Endometrial Cancer Spheres Show Cancer Stem Cells Phenotype and Preference for Oxidative MetabolismPublication . Carvalho, MJ; Laranjo, M; Abrantes, AM; Casalta-Lopes, J; Sarmento-Santos, D; Costa, T; Serambeque, B; Almeida, N; Gonçalves, T; Mamede, C; Encarnação, J; Oliveira, R; Paiva, A; de Carvalho, R; Botelho, F; Oliveira, CThis study aimed to characterize endometrial cancer regarding cancer stem cells (CSC) markers, regulatory and differentiation pathways, tumorigenicity and glucose metabolism. Endometrial cancer cell line ECC1 was submitted to sphere forming protocols. The first spheres generation (ES1) was cultured in adherent conditions (G1). This procedure was repeated and was obtained generations of spheres (ES1, ES2 and ES3) and spheres-derived cells in adherent conditions (G1, G2 and G3). Populations were characterized regarding CD133, CD24, CD44, aldehyde dehydrogenase (ALDH), hormonal receptors, HER2, P53 and β-catenin, fluorine-18 fluorodeoxyglucose ([18F]FDG) uptake and metabolism by NMR spectroscopy. An heterotopic model evaluated differential tumor growth. The spheres self-renewal was higher in ES3. The putative CSC markers CD133, CD44 and ALDH expression were higher in spheres. The expression of estrogen receptor (ER)α and P53 decreased in spheres, ERβ and progesterone receptor had no significant changes and β-catenin showed a tendency to increase. There was a higher 18F-FDG uptake in spheres, which also showed a lower lactate production and an oxidative cytosol status. The tumorigenesis in vivo showed an earlier growth of tumours derived from ES3. Endometrial spheres presented self-renewal and differentiation capacity, expressed CSC markers and an undifferentiated phenotype, showing preference for oxidative metabolism.
- The Portuguese Severe Asthma Registry: Development, Features, and Data Sharing PoliciesPublication . Sá-Sousa, A; Fonseca, JA; Pereira, AM; Ferreira, A; Arrobas, A; Mendes, A; Drummond, M; Videira, W; Costa, T; Farinha, P; Soares, J; Rocha, P; Todo-Bom, A; Sokolova, A; Costa, A; Fernandes, B; Chaves Loureiro, C; Longo, C; Pardal, C; Costa, C; Cruz, C; Loureiro, CC; Lopes, C; Mesquita, D; Faria, E; Magalhães, E; Menezes, F; Todo-Bom, F; Carvalho, F; Regateiro, FS; Falcão, H; Fernandes, I; Gaspar-Marques, J; Viana, J; Ferreira, J; Silva, JM; Simão, L; Almeida, L; Fernandes, L; Ferreira, L; van Zeller, M; Quaresma, M; Castanho, M; André, N; Cortesão, N; Leiria-Pinto, P; Pinto, P; Rosa, P; Carreiro-Martins, P; Gerardo, R; Silva, R; Lucas, S; Almeida, T; Calvo, TThe Portuguese Severe Asthma Registry (Registo de Asma Grave Portugal, RAG) was developed by an open collaborative network of asthma specialists. RAG collects data from adults and pediatric severe asthma patients that despite treatment optimization and adequate management of comorbidities require step 4/5 treatment according to GINA recommendations. In this paper, we describe the development and implementation of RAG, its features, and data sharing policies. The contents and structure of RAG were defined in a multistep consensus process. A pilot version was pretested and iteratively improved. The selection of data elements for RAG considered other severe asthma registries, aiming at characterizing the patient's clinical status whilst avoiding overloading the standard workflow of the clinical appointment. Features of RAG include automatic assessment of eligibility, easy data input, and exportable data in natural language that can be pasted directly in patients' electronic health record and security features to enable data sharing (among researchers and with other international databases) without compromising patients' confidentiality. RAG is a national web-based disease registry of severe asthma patients, available at asmagrave.pt. It allows prospective clinical data collection, promotes standardized care and collaborative clinical research, and may contribute to inform evidence-based healthcare policies for severe asthma.