A high-throughput screening of a chemical compound library in ovarian cancer stem cells
| Autor: | Mattia Mori, Vassilios Roussis, Bozena Kaminska, Cinzia Ingallina, Ferenc Hudecz, Trond Vidar Hansen, Romano Silvestri, Attila Hunyadi, Loana Musso, Daniele Passarella, Giovanna Damia, Bruno Botta, Michael S. Christodoulou, Szilvia Bösze, Laura Carrassa, Anastasia Detsi, Efstathia Ioannou, Nicholas J. Westwood, Philippe Bertrand, E Kavetsou, Benoît Y. Michel, Sabrina Dallavalle, Constantinos M. Athanassopoulos, Francesca Ricci, R Benhida, Nadine Martinet, Zsuzsa Majer |
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| Přispěvatelé: | Istituto Matematico, Scuola Normale Superiore, Zurich Research Laboratory, IBM Research GmbH, Laboratoire de Chimie des Molécules Bioactives et des Arômes (LCMBA), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Institut Régional de Médecine Physique et de Réadaptation Louis Pierquin [Nancy] (IRR Louis Pierquin), Department of Pharmacognosy and Chemistry of Natural Products, School of Pharmacy, Dipartimento di Ingegneria de l'Informazione [Padova] (DEI), Universita degli Studi di Padova, Simon Fraser University (SFU.ca), Griset S.A, Griset, Institut de Chimie des Milieux et Matériaux de Poitiers (IC2MP), Université de Poitiers-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), University of St Andrews. School of Chemistry, University of St Andrews. EaSTCHEM, University of St Andrews. Biomedical Sciences Research Complex |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
chemical compounds library
oncology screening Cellular differentiation Cell Drug resistance 01 natural sciences Drug Discovery Tumor Cells Cultured Cytotoxic T cell Medicine QD ComputingMilieux_MISCELLANEOUS Ovarian Neoplasms Oncology screening Molecular Structure High-throughput screening General Medicine 3. Good health Computer Science Applications medicine.anatomical_structure ovarian cancer Neoplastic Stem Cells Female Stem cell cancer stem cell therapy resistance NDAS Antineoplastic Agents Chemical compounds library computer science applications1707 computer vision and pattern recognition high-throughput screening Small Molecule Libraries Structure-Activity Relationship SDG 3 - Good Health and Well-being Cancer stem cell Ovarian cancer Humans drug discovery3003 pharmaceutical science Dose-Response Relationship Drug 010405 organic chemistry business.industry Therapy resistance [CHIM.CATA]Chemical Sciences/Catalysis medicine.disease QD Chemistry 0104 chemical sciences High-Throughput Screening Assays organic chemistry 010404 medicinal & biomolecular chemistry Cancer research Drug Screening Assays Antitumor business |
| Zdroj: | Combinatorial Chemistry and High Throughput Screening Combinatorial Chemistry and High Throughput Screening, Bentham Science Publishers, 2018, 21 (1), pp.50-56. ⟨10.2174/1386207321666180124093406⟩ |
| ISSN: | 1386-2073 |
| DOI: | 10.2174/1386207321666180124093406⟩ |
| Popis: | This work was performed under the frame of COST Action collaboration (COST Action CM1106). The generous contribution of AIRC (The Italian Association for Cancer Research) IG14536 to G.D. is gratefully acknowledged. A.H. acknowledges support from the János Bolyai fellowship of the Hungarian Academy of Sciences. Background: Epithelial ovarian cancer has a poor prognosis, mostly due to its late diagnosis and to the development of drug resistance after a first platinum-based regimen. The presence of a specific population of “cancer stem cells” could be responsible of the relapse of the tumor, and of the development of resistance to therapy. For this reason, it would be important to specifically target this subpopulation of tumor cells in order to increase the response to therapy. Method: We screened a chemical compound library assembled during the COST CM1106 action to search for compound classes active in targeting ovarian stem cells. We here report the results of the high-throughput screening assay in two ovarian cancer stem cells and the differentiated cells derived from them. Results and conclusion: Interestingly there were compounds active only on stem cells, only on differentiated cells and compounds active on both cell populations. Even if these data need to be validated in ad hoc dose response cytotoxic experiments, the ongoing analysis of the compound structures will open up to mechanistic drug studies to select compounds able to improve the prognosis of ovarian cancer patients. Postprint |
| Databáze: | OpenAIRE |
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