5-(4-Methoxybenzylidene)thiazolidine-2,4-dione-derived VEGFR-2 inhibitors: Design, synthesis, molecular docking, and anticancer evaluations.
Khaled El-AdlHelmy SakrMohamed NasserMohamed AlswahFatma M A ShomanPublished in: Archiv der Pharmazie (2020)
A novel series of 5-(4-methoxybenzylidene)thiazolidine-2,4-dione derivatives, 5a-g and 7a-f, was designed, synthesized, and evaluated for their anticancer activity against HepG2, HCT116, and MCF-7 cells. HepG2 and HCT116 were the most sensitive cell lines to the influence of the new derivatives. In particular, compounds 7f, 7e, 7d, and 7c were found to be the most potent derivatives of all the tested compounds against the HepG2, HCT116, and MCF-7 cancer cell lines. Compound 7f (IC50 = 6.19 ± 0.5, 5.47 ± 0.3, and 7.26 ± 0.3 µM, respectively) exhibited a higher activity than sorafenib (IC50 = 9.18 ± 0.6, 8.37 ± 0.7, and 5.10 ± 0.4 µM, respectively) against HepG2 and MCF-7, cells but a lower activity against HCT116 cancer cells, respectively. Also, this compound displayed a higher activity than doxorubicin (IC50 = 7.94 ± 0.6, 8.07 ± 0.8, and 6.75 ± 0.4 µM, respectively) against HepG2 and MCF-7 cells, but nearly the same activity against HCT116 cells, respectively. All derivatives, 5a-g and 7a-f, were evaluated for their inhibitory activities against vascular endothelial growth factor receptor-2 (VEGFR-2). Among them, compound 7f was found to be the most potent derivative that inhibited VEGFR-2 at an IC50 value of 0.12 ± 0.02 µM, which is nearly the same as that of sorafenib (IC50 = 0.10 ± 0.02 µM). Compounds 7e, 7d, 7c, and 7b exhibited the highest activity, with IC50 values of 0.13 ± 0.02, 0.14 ± 0.02, 0.14 ± 0.02, and 0.18 ± 0.03 µM, respectively, which are more than the half of that of sorafenib. Furthermore, molecular docking was performed to investigate their binding mode and affinities toward the VEGFR-2 receptor. The data obtained from the docking studies highly correlated with those obtained from the biological screening.
Keyphrases
- cell cycle arrest
- molecular docking
- vascular endothelial growth factor
- induced apoptosis
- cell death
- pi k akt
- molecular dynamics simulations
- breast cancer cells
- oxidative stress
- endoplasmic reticulum stress
- squamous cell carcinoma
- machine learning
- transcription factor
- young adults
- endothelial cells
- anti inflammatory
- electronic health record
- dna binding
- cancer therapy
- squamous cell