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Selective Targeting of Cancer-Related G-Quadruplex Structures by the Natural Compound Dicentrine.

Chiara PlatellaFrancesca GhirgaDomenica MusumeciDeborah QuaglioPasquale ZizzaSara IachettiniCarmen D'AngeloAnnamaria BiroccioBruno BottaMattia MoriDaniela Montesarchio
Published in: International journal of molecular sciences (2023)
Aiming to identify highly effective and selective G-quadruplex ligands as anticancer candidates, five natural compounds were investigated here, i.e., the alkaloids Canadine, D-Glaucine and Dicentrine, as well as the flavonoids Deguelin and Millettone, selected as analogs of compounds previously identified as promising G-quadruplex-targeting ligands. A preliminary screening with the G-quadruplex on the Controlled Pore Glass assay proved that, among the investigated compounds, Dicentrine is the most effective ligand of telomeric and oncogenic G-quadruplexes, also showing good G-quadruplex vs. duplex selectivity. In-depth studies in solution demonstrated the ability of Dicentrine to thermally stabilize telomeric and oncogenic G-quadruplexes without affecting the control duplex. Interestingly, it showed higher affinity for the investigated G-quadruplex structures over the control duplex (K b ~10 6 vs. 10 5 M -1 ), with some preference for the telomeric over the oncogenic G-quadruplex model. Molecular dynamics simulations indicated that Dicentrine preferentially binds the G-quadruplex groove or the outer G-tetrad for the telomeric and oncogenic G-quadruplexes, respectively. Finally, biological assays proved that Dicentrine is highly effective in promoting potent and selective anticancer activity by inducing cell cycle arrest through apoptosis, preferentially targeting G-quadruplex structures localized at telomeres. Taken together, these data validate Dicentrine as a putative anticancer candidate drug selectively targeting cancer-related G-quadruplex structures.
Keyphrases
  • cell cycle arrest
  • molecular dynamics simulations
  • cell death
  • cancer therapy
  • dna damage response
  • oxidative stress
  • molecular docking
  • machine learning
  • mass spectrometry
  • cell proliferation
  • anti inflammatory