An Integrated Bioinformatics Study of a Novel Niclosamide Derivative, NSC765689, a Potential GSK3β/β-Catenin/STAT3/CD44 Suppressor with Anti-Glioblastoma Properties
| Autor: | Ntlotlang Mokgautsi, Bashir Lawal, Alexander T.H. Wu, Harshita Khedkar, Maryam Rachmawati Sumitra, Hsu Shan Huang, Ya Ting Wen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Stem cell marker
Bioinformatics glioma stem cell (GSC) lcsh:Chemistry miR-135b Tumor Cells Cultured lcsh:QH301-705.5 Spectroscopy beta Catenin biology Chemistry Brain Neoplasms Cell Differentiation General Medicine Computer Science Applications Gene Expression Regulation Neoplastic Molecular Docking Simulation Hyaluronan Receptors Neoplastic Stem Cells Niclosamide Stem cell Signal Transduction STAT3 Transcription Factor Catalysis Article glioblastoma multiforme (GBM) Inorganic Chemistry stemness Glioma medicine Humans tumor microenvironment (TME) Physical and Theoretical Chemistry Molecular Biology Cell Proliferation drug resistance Glycogen Synthase Kinase 3 beta Cluster of differentiation Oncogene Cell growth Organic Chemistry CD44 Computational Biology medicine.disease in silico molecular docking lcsh:Biology (General) lcsh:QD1-999 Catenin biology.protein Glioblastoma |
| Zdroj: | International Journal of Molecular Sciences International Journal of Molecular Sciences, Vol 22, Iss 2464, p 2464 (2021) Volume 22 Issue 5 |
| ISSN: | 1422-0067 |
| Popis: | Despite management efforts with standard surgery, radiation, and chemotherapy, glioblastoma multiform (GBM) remains resistant to treatment, which leads to tumor recurrence due to glioma stem cells (GSCs) and therapy resistance. In this study, we used random computer-based prediction and target identification to assess activities of our newly synthesized niclosamide-derived compound, NSC765689, to target GBM oncogenic signaling. Using target prediction analyses, we identified glycogen synthase kinase 3β (GSK3β), β-Catenin, signal transducer and activator of transcription 3 (STAT3), and cluster of differentiation 44 (CD44) as potential druggable candidates of NSC765689. The above-mentioned signaling pathways were also predicted to be overexpressed in GBM tumor samples compared to adjacent normal samples. In addition, using bioinformatics tools, we also identified microRNA (miR)-135b as one of the most suppressed microRNAs in GBM samples, which was reported to be upregulated through inhibition of GSK3β, and subsequently suppresses GBM tumorigenic properties and stemness. We further performed in silico molecular docking of NSC765689 with GBM oncogenes GSK3β, β-Catenin, and STAT3, and the stem cell marker, CD44, to predict protein-ligand interactions. The results indicated that NSC765689 exhibited stronger binding affinities compared to its predecessor, LCC09, which was recently published by our laboratory, and was proven to inhibit GBM stemness and resistance. Moreover, we used available US National Cancer Institute (NCI) 60 human tumor cell lines to screen in vitro anticancer effects, including the anti-proliferative and cytotoxic activities of NSC765689 against GBM cells, and 50% cell growth inhibition (GI50) values ranged 0.23~5.13 μM. In summary, using computer-based predictions and target identification revealed that NSC765689 may be a potential pharmacological lead compound which can regulate GBM oncogene (GSK3β /β-Catenin /STAT3 / CD44) signaling and upregulate the miR-135b tumor suppressor. Therefore, further in vitro and in vivo investigations will be performed to validate the efficacy of NSC765689 as a novel potential GBM therapeutic. |
| Databáze: | OpenAIRE |
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