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Letters in Drug Design & Discovery

Editor-in-Chief

ISSN (Print): 1570-1808
ISSN (Online): 1875-628X

Research Article

Synthesis and Structure-activity Relationships of Chalcone Derivatives as Inhibitors of Ovarian Cancer Cell Growth

Author(s): Zachary D. Tucker, Francis J. Barrios and Amanda J. Krzysiak*

Volume 14, Issue 11, 2017

Page: [1259 - 1266] Pages: 8

DOI: 10.2174/1570180814666170505120258

Price: $65

Abstract

Background: Ovarian cancer remains a disease with a poor five year survival rate. As such, novel therapies are needed. Natural chalcones as well as their synthetic derivatives have shown biological activity in a number of areas including the inhibition of cancer cell growth.

Objective: To synthesize a library of chalcone derivatives, including novel structures, and determiner the inhibition of ovarian cancer cell growth and Structure-activity-relationships.

Methods: The Claisen-Schmidt condensation reaction between substituted acetophenones and aromatic aldehydes was used to produce a series of novel chalcones in moderate to excellent yields and good purity. Cellular proliferation of CA-OV3 cells was measured with a MTS assay.

Results: Out of the thirty-four synthesized compounds, eight are new derivatives. The synthesized compounds were characterized by 1H NMR, 13C NMR, and HRMS. Biological evaluation of these β-phenylacrylophenone derivatives in CA-OV3 cells showed interesting antiproliferative activities providing initial structure – activity information.

Conclusion: Fourteen of the thirty-four tested compounds showed significant activity, with several showing near complete inhibition of growth at 100 µM. The structure-activity relationships suggest that modification to the A ring is widely tolerated and that electron-donating modifications to the B ring are beneficial to activity. Electron-withdrawing modifications to the B ring did not show inhibition of cell growth.

Keywords: Synthesis, chalcones, claisen-schmidt condensation, structure-activity, ovarian cancer, growth inhibition.

Graphical Abstract

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