ArticleScientific reports2021
Transcriptional drug repositioning and cheminformatics approach for differentiation therapy of leukaemia cells.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Drug Search and Design Considering Cell Specificity of Chemically Induced Gene Expression Profiles for Disease-Associated Tissues.Molecular informatics · 2025Article
- Fenbendazole Exhibits Antitumor Activity Against Cervical Cancer Through Dual Targeting of Cancer Cells and Cancer Stem Cells: Evidence from In Vitro and In Vivo Models.Molecules (Basel, Switzerland) · 2025Article
- Review
- Parbendazole as a promising drug for inducing differentiation of acute myeloid leukemia cells with various subtypes.Communications biology · 2024Article
- Exploring the Role of Chemoinformatics in Accelerating Drug Discovery: A Computational Approach.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Using Transcriptomics and Cell Morphology Data in Drug Discovery: The Long Road to Practice.ACS medicinal chemistry letters · 2023Review
- Exceptional Repositioning of Dog Dewormer: Fenbendazole Fever.Current issues in molecular biology · 2022Review
- Prediction and identification of synergistic compound combinations against pancreatic cancer cells.iScience · 2021Article
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Differentiation therapy is attracting increasing interest in cancer as it can be more specific than conventional chemotherapy approaches, and it has offered new treatment options for some cancer types, such as treating acute promyelocytic leukaemia (APL) by retinoic acid. However, there is a pressing need to identify additional molecules which act in this way, both in leukaemia and other cancer types. In this work, we hence developed a novel transcriptional drug repositioning approach, based on both bioinformatics and cheminformatics components, that enables selecting such compounds in a more informed manner. We have validated the approach for leukaemia cells, and retrospectively retinoic acid was successfully identified using our method. Prospectively, the anti-parasitic compound fenbendazole was tested in leukaemia cells, and we were able to show that it can induce the differentiation of leukaemia cells to granulocytes in low concentrations of 0.1 μM and within as short a time period as 3 days. This work hence provides a systematic and validated approach for identifying small molecules for differentiation therapy in cancer.
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