Endometrial Cancer Spheres Show Cancer Stem Cells Phenotype and Preference for Oxidative Metabolism

Autor: T.J. Gonçalves, Daniela Sarmento-Santos, João Casalta-Lopes, Catarina Mamede, Ana M. Abrantes, Tânia Costa, Nuno Almeida, Carlos Augusto Fernandes de Oliveira, Mafalda Laranjo, Maria João Carvalho, Rui de Albuquerque Carvalho, Artur Paiva, João Crispim Encarnação, Rui Caetano Oliveira, Beatriz Serambeque, Filomena Botelho
Rok vydání: 2018
Předmět:
Zdroj: Pathology & Oncology Research. 25:1163-1174
ISSN: 1532-2807
1219-4956
DOI: 10.1007/s12253-018-0535-0
Popis: This 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. info:eu-repo/semantics/publishedVersion
Databáze: OpenAIRE