Design and synthesis of new 2-oxoquinoxalinyl-1,2,4-triazoles as antitumor VEGFR-2 inhibitors


ZENGİN M., ÜNSAL TAN O., Arafa R. K., BALKAN A.

Bioorganic Chemistry, vol.121, 2022 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 121
  • Publication Date: 2022
  • Doi Number: 10.1016/j.bioorg.2022.105696
  • Journal Name: Bioorganic Chemistry
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Chimica, EMBASE, MEDLINE, Veterinary Science Database
  • Keywords: Antitumor, 2-Oxoquinoxalinyl-1, 4-triazoles, VEGFR-2, Molecular docking, BIOLOGICAL EVALUATION, ORAL BIOAVAILABILITY, TARGETED THERAPIES, TYROSINE KINASES, CANCER, DISCOVERY, GROWTH, QUINOXALINONE, FUTURE, ASSAY
  • Hacettepe University Affiliated: Yes

Abstract

© 2022 Elsevier Inc.VEGFR-2 is a tyrosine kinase receptor for VEGFs that play a central role in tumor angiogenesis. The inhibition of the tyrosine kinase domain of VEGFR-2 has become an attractive therapeutic strategy in recent years for inhibiting tumor growth. In this study, a series of novel 2-oxoquinoxalinyl-1,2,4-triazoles were designed and synthesized as potential antitumor agents and VEGFR-2 inhibitors. Eight compounds in this series showed high growth inhibition against MCF-7 with GI50 ranging from 1.6 to 8.06 µM compared to staurosporine (GI50 = 8.39 µM) and sorafenib (GI50 = 11.20 µM). In addition, the results of the in vitro tyrosine kinase inhibition of VEGFR-2 revealed that most of the compounds possessed IC50 values in the sub-micromolar range. Compound 6g (IC50 = 0.037 µM) showed more potent VEGFR-2 inhibitory activity than sorafenib (IC50 = 0.045 µM). Furthermore, docking studies of the compounds with tyrosine kinase domain of VEGFR-2 (PDB ID: 4ASD) were performed. According to the results, 6g exhibited hydrogen bonding interactions with Glu885, Asp1046 and Cys919 amino acids in a similar way to sorafenib. Finally, physicochemical predictions of target compounds were examined in silico. The results revealed that all the compounds possessed promising drug-likeness profile.