Design, synthesis and anticancer evaluation of novel hydrazide-2-oxindole analogues as GSK-3β kinase inhibitors
GSK-3β plays an essential role in cancer progression, making it a promising target for therapeutic intervention with glycogen synthase kinase (GSK-3β) inhibitors. The designed compounds were discovered for their potential role against the proliferation of cancer <i>via</i> targeting GSK-3β. In the present study, hydrazide-2-oxindole analogues were designed, synthesised, and evaluated for anticancer efficacy against GSK-3β. Compounds were screened against Capan-1, HCT-116, LN-229, MCI-4460, DND-41, HL-60, K-562, MOLT4, Z-138 cells and normal cell line HEK 293. Among the compounds, 6Eb and 6Ec showed the highest selective cytotoxicity against prostate cancer (Capan-1) with CC<sub>50</sub> values of 9.40 μM, and 8.25 μM, respectively. Furthermore, the mechanism of the anticancer effect was evidenced by 6Eb and 6Ec against GSK-3β kinase with IC<sub>50s</sub> of 11.02 μM and 59.81 μM, respectively. In addition, elevation of β-catenin and downregulation of NF-kB and STAT3 in the western blot by 6Eb evidenced inhibition of GSK-3β kinase as the cause of cytotoxicity. Furthermore, <i>in vitro</i> results were supported by docking scores of -10.5 kcal mol<sup>-1</sup> and -8.8 kcal mol<sup>-1</sup>, respectively, as compared to bio-acetoxime (-7.7 kcal mol<sup>-1</sup>). Furthermore, the higher stability in molecular dynamics simulations validated the docking approach and indicated anti-cancer effects by inhibiting GSK-3β. In addition, the density functional theory analysis identified electronic distribution in compounds, which was correlated to the findings of docking and molecular dynamic simulation on their participation in polar and lipophilic interactions with kinase. Moreover, the compounds meet the drug-likeness criteria, suggesting they could be candidates for the development of drugs against cancer that target GSK-3β.
Authors
- Sujeet Kumar (ORCID: https://orcid.org/0000-0002-0833-158X)
- Dominique Schols (ORCID: https://orcid.org/0000-0003-3256-5850)
- Bibha Choudhary (ORCID: https://orcid.org/0000-0001-7173-0682)
- Subhas S. Karki (ORCID: https://orcid.org/0000-0002-5599-3594)
- Nishith Teraiya (ORCID: https://orcid.org/0000-0003-1301-915X)
- Soujanya J. Vastrad
- P Shyamjith
- Ashok Madarakhandi
Institutions
- Nitte University (IN)
- Rega Institute for Medical Research (BE)
- M S Ramaiah University of Applied Sciences (IN)
- Kadi Sarva Vishwavidyalaya (IN)
- KLE Academy of Higher Education and Research (IN)
- KLE Society Hospital (IN)
- Institute of Bioinformatics and Applied Biotechnology (IN)
- Central University of Gujarat (IN)
- KU Leuven (BE)
Publication Details
- Journal
- RSC Advances
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5ra01063b
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.50