The estrogen receptor alpha (ER alpha) is an important biological target mediating 1713-estradiol driven breast cancer (BC) development. Aiming to develop innovative drugs against BC, either wild-type or mutated ligand-ER alpha complexes were used as source data to build structure-based 3-D pharmacophore and 3-D QSAR models, afterward used as tools for the virtual screening of National Cancer Institute datasets and hit-to-lead optimization. The procedure identified Brefeldin A (BFA) as hit, then structurally optimized toward twelve new derivatives whose anticancer activity was confirmed both in vitro and in vivo. Compounds as SERMs showed picomolar to low nanomolar potencies against ER alpha and were then investigated as antiproliferative agents against BC cell lines, as stimulators of p53 expression, as well as BC cell cycle arrest agents. Most active leads were finally profiled upon administration to female Wistar rats with pre-induced BC, after which 3DPQ-12, 3DPQ-3, 3DPQ-9, 3DPQ-4, 3DPQ-2, and 3DPQ-1 represent potential candidates for BC therapy.
Human estrogen receptor alpha antagonists, Part 3: 3-D pharmacophore and 3-D QSAR guided Brefeldin A hit-to-lead optimization toward new breast cancer suppressants / Kurtanović, Nezrina; Tomašević, Nevena; Matić, Sanja; Proia, Elenora; Sabatino, Manuela; Antonini, Lorenzo; Mladenović, Milan; Ragno, Rino. - In: MOLECULES. - ISSN 1420-3049. - 27:9(2022), pp. 1-38. [10.3390/molecules27092823]
Human estrogen receptor alpha antagonists, Part 3: 3-D pharmacophore and 3-D QSAR guided Brefeldin A hit-to-lead optimization toward new breast cancer suppressants
Sabatino, Manuela;Antonini, Lorenzo;Ragno, Rino
2022
Abstract
The estrogen receptor alpha (ER alpha) is an important biological target mediating 1713-estradiol driven breast cancer (BC) development. Aiming to develop innovative drugs against BC, either wild-type or mutated ligand-ER alpha complexes were used as source data to build structure-based 3-D pharmacophore and 3-D QSAR models, afterward used as tools for the virtual screening of National Cancer Institute datasets and hit-to-lead optimization. The procedure identified Brefeldin A (BFA) as hit, then structurally optimized toward twelve new derivatives whose anticancer activity was confirmed both in vitro and in vivo. Compounds as SERMs showed picomolar to low nanomolar potencies against ER alpha and were then investigated as antiproliferative agents against BC cell lines, as stimulators of p53 expression, as well as BC cell cycle arrest agents. Most active leads were finally profiled upon administration to female Wistar rats with pre-induced BC, after which 3DPQ-12, 3DPQ-3, 3DPQ-9, 3DPQ-4, 3DPQ-2, and 3DPQ-1 represent potential candidates for BC therapy.File | Dimensione | Formato | |
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