A high-throughput screening of a chemical compound library in ovarian cancer stem cells

F. Ricci, L. Carrassa, M. S. Christodoulou, D. Passarella, B. Michel, B. Benhida, N. Martinet , A. Hunyadi, E. Ioannou, V. Roussis, L. Musso, S. Dallavalle , R. Silvestri, Nicholas James Westwood, M. Mori, C. Ingallina, B. Botta, E. Kavetsou, A. Detsi, Z. MajerF. Hudecz, S. Bősze, B. Kaminska, T. V. Hansen, P. Bertrand, C. M. Athanassopoulos, G. Damia

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Original languageEnglish
Pages (from-to)50-56
JournalCombinatorial Chemistry and High Throughput Screening
Volume21
Issue number1
Early online date23 Jan 2018
DOIs
Publication statusE-pub ahead of print - 23 Jan 2018

Keywords

  • Cancer stem cell
  • Chemical compounds library
  • Oncology screening
  • High-throughput screening
  • Ovarian cancer
  • Therapy resistance

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