Abstract
Background: Epithelial ovarian cancer has a poor prognosis, mostly due to its late diagnosis and 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 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.
Keywords: Cancer stem cell, chemical compounds library, oncology screening, high-throughput screening, ovarian cancer, therapy resistance.
Combinatorial Chemistry & High Throughput Screening
Title:A High-throughput Screening of a Chemical Compound Library in Ovarian Cancer Stem Cells
Volume: 21 Issue: 1
Author(s): F. Ricci*, L. Carrassa, M. S. Christodoulou, D. Passarella, B. Michel, R. Benhida, N. Martinet, A. Hunyadi, E. Ioannou, V. Roussis, L. Musso, S. Dallavalle, R. Silvestri, N. Westwood, M. Mori, C. Ingallina, B. Botta, E. Kavetsou, A. Detsi, Z. Majer, F. Hudecz, S. Bosze, B. Kaminska, T.V. Hansen, P. Bertrand, C. M. Athanassopoulos and G. Damia*
Affiliation:
- IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Via Giuseppe La Masa 19, 20156 Milan,Italy
- IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Via Giuseppe La Masa 19, 20156 Milan,Italy
Keywords: Cancer stem cell, chemical compounds library, oncology screening, high-throughput screening, ovarian cancer, therapy resistance.
Abstract: Background: Epithelial ovarian cancer has a poor prognosis, mostly due to its late diagnosis and 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 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.
Export Options
About this article
Cite this article as:
Ricci F. *, Carrassa L. , Christodoulou S. M. , Passarella D. , Michel B. , Benhida R. , Martinet N. , Hunyadi A. , Ioannou E. , Roussis V. , Musso L. , Dallavalle S. , Silvestri R. , Westwood N. , Mori M. , Ingallina C., Botta B. , Kavetsou E. , Detsi A. , Majer Z., Hudecz F., Bosze S. , Kaminska B. , Hansen T.V., Bertrand P. , Athanassopoulos M. C. and Damia G. *, A High-throughput Screening of a Chemical Compound Library in Ovarian Cancer Stem Cells, Combinatorial Chemistry & High Throughput Screening 2018; 21 (1) . https://dx.doi.org/10.2174/1386207321666180124093406
DOI https://dx.doi.org/10.2174/1386207321666180124093406 |
Print ISSN 1386-2073 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5402 |
Call for Papers in Thematic Issues
Artificial Intelligence Methods for Biomedical, Biochemical and Bioinformatics Problems
Recently, a large number of technologies based on artificial intelligence have been developed and applied to solve a diverse range of problems in the areas of biomedical, biochemical and bioinformatics problems. By utilizing powerful computing resources and massive amounts of data, methods based on artificial intelligence can significantly improve the ...read more
Eco-friendly Agents for Biological Control of Pathogenic Diseases
The discovery of an alternative biological approach to disease management includes work on medicinal products derived from natural sources as a starting point for the development of eco-friendly agents for these diseases and the injuries they cause, as well as reducing human contact with hazardous chemicals and their residues. We ...read more
Emerging trends in diseases mechanisms, noble drug targets and therapeutic strategies: focus on immunological and inflammatory disorders
Recently infectious and inflammatory diseases have been a key concern worldwide due to tremendous morbidity and mortality world Wide. Recent, nCOVID-9 pandemic is a good example for the emerging infectious disease outbreak. The world is facing many emerging and re-emerging diseases out breaks at present however, there is huge lack ...read more
Exploring Spectral Graph Theory in Combinatorial Chemistry
Scope of the Thematic Issue: Combinatorial chemistry involves the synthesis and analysis of a large number of diverse compounds simultaneously. Traditional methods rely on brute force experimentation, which can be time-consuming and resource-intensive. Spectral Graph Theory, a branch of mathematics dealing with the properties of graphs in relation to the ...read more
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
Related Articles
-
Important Classes of Bioactive Alkaloids from Marine Ascidians: Structures, Isolation and Bioactivity
Current Topics in Medicinal Chemistry Immune Checkpoint Inhibitors and Cardiac Toxicity: An Emerging Issue
Current Medicinal Chemistry A Series of 2,4(1H,3H)-Quinazolinedione Derivatives: Synthesis and Biological Evaluation as Potential Anticancer Agents
Letters in Drug Design & Discovery Review: Recent Clinical Trials in Epigenetic Therapy
Reviews on Recent Clinical Trials Radioprotective Gene Therapy
Current Gene Therapy Targeting Human Telomerase in Cancer Therapy
Current Medicinal Chemistry - Anti-Cancer Agents The Use of Anthracyclines for Therapy of CNS Tumors
Anti-Cancer Agents in Medicinal Chemistry Nitric Oxide and Cancer Therapy: The Emperor has NO Clothes
Current Pharmaceutical Design Strategies for In Vivo siRNA Delivery in Cancer
Mini-Reviews in Medicinal Chemistry Overview of Cantharidin and its Analogues
Current Medicinal Chemistry Anti-tumor Effects of Curcuminoids in Glioblastoma Multiforme: An Updated Literature Review
Current Medicinal Chemistry Cancer Stem Cells and their Management in Cancer Therapy
Recent Patents on Anti-Cancer Drug Discovery Heparanase Patents: Dim Past and Bright Future
Recent Patents on Inflammation & Allergy Drug Discovery Nonviral Approach for Targeted Nucleic Acid Delivery
Current Medicinal Chemistry Gemini Surfactant Based Carriers in Gene and Drug Delivery
Current Medicinal Chemistry MicroRNAs in Glioblastoma: Role in Pathogenesis and Opportunities for Targeted Therapies
CNS & Neurological Disorders - Drug Targets Double Point Modified Analogs of Vitamin D as Potent Activators of Vitamin D Receptor
Current Pharmaceutical Design Nanoparticles of Biodegradable Polymers for Clinical Administration of Paclitaxel
Current Medicinal Chemistry Cancer Chemoprevention by Targeting the Epigenome
Current Drug Targets Natural Products As Antimitotic Agents
Current Topics in Medicinal Chemistry