ORIGINAL RESEARCH article
Front. Pharmacol.
Sec. Pharmacology of Anti-Cancer Drugs
3D-QSAR study for the development of chalcone-based inhibitors targeting ovarian cancer cells with experimental validation
Manuel Valenzuela-Valderrama 1
Aranxa Varas 2
Mariaignacia Rubilar 1
Marcos Lorca 3
Jaime Mella 4,5
Christian Espinosa-Bustos 6
Javier Echeverría 7
Marco Mellado 8
1. Laboratorio de Carcinogénesis Molecular, Facultad de Medicina y Ciencias de la Salud, Universidad Central de Chile, Santiago, Chile
2. Carrera de Tecnología Médica, Facultad de Medicina y Ciencias de la Salud, Universidad Central de Chile, Santiago, Chile
3. Facultad de Ciencias de la Vida, Carrera de Química y Farmacia, Universidad Viña del Mar, Viña del Mar, Chile
4. Instituto de Química, Facultad de Ciencias, Universidad de Valparaíso, Valparaíso, Chile
5. Centro de Investigación, Desarrollo e Innovación de Productos Bioactivos (CInBIO), Universidad de Valparaíso, Valparaíso, Chile
6. Departamento de Farmacia, Facultad de Química y de Farmacia, Pontificia Universidad Católica de Chile, Santiago, Chile
7. Departamento de Ciencias del Ambiente, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile
8. Centro de Investigación en Ingeniería de Materiales, Universidad Central de Chile, Santiago, Chile
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Abstract
Background: Ovarian cancer remains one of the most lethal gynecological malignancies, mainly due to late-stage diagnosis and frequent chemoresistance. Purpose: This study sought to develop 3D-QSAR models—Comparative Molecular Field and Similarity Index Analysis (CoMFA and CoMSIA)—to predict the antiproliferative activity of synthetic chalcone derivatives against A2780 ovarian cancer cells and to explore potential mechanisms of action through antioxidant response biomarkers. Materials and methods: CoMFA and CoMSIA models were developed using a dataset of 64 chalcone derivatives and validated using q2, r2ncv, and other statistical metrics. Twelve chalcones predicted as active were synthesized and characterized by FT-IR and NMR spectroscopy. Their antiproliferative effects were evaluated using MTT assays, complemented by clonogenic testing, intracellular glutathione quantification, and analysis of biomarkers, including nuclear factor erythroid 2-related factor 2 (Nrf2), heme oxygenase-1 (HO-1), and NAD(P)H: quinone oxidoreductase 1 (NQO1). The most active compounds were further assessed in a cisplatin-resistant A2780 subline, with N-acetylcysteine (NAC) used to probe reactive oxygen species (ROS)-dependent mechanisms. Results and discussion: The CoMFA and CoMSIA models demonstrated strong predictive performance (q2 = 0.763/0.789; r2ncv = 0.963/0.920). Contour maps highlighted steric and electrostatic features linked to enhanced antiproliferative activity. The twelve synthesized chalcones exhibited experimental pIC50 values that strongly correlated with model predictions. Compounds 065, 066, and 072 showed the highest potency, with compound 072 also reducing clonogenic survival. Active derivatives increased intracellular glutathione and upregulated HO-1 without activating canonical Nrf2 signaling. In cisplatin-resistant A2780 cells, compounds 072 and 074 displayed markedly higher potency (IC50 = 6.50 and 10.22 μM) than cisplatin (93.4 μM). Their cytotoxicity was abrogated by NAC, indicating a ROS-dependent mode of action. Conclusions: CoMFA and CoMSIA models accurately predicted the activity of synthetic chalcones, and the biological findings identify these derivatives as promising candidates for the treatment of ovarian cancer, including chemoresistant forms.
Summary
Keywords
3D-QSAR, A2780 cell line, Drug Resistance, experimental validation, ovarian cancer, ROS
Received
14 November 2025
Accepted
26 January 2026
Copyright
© 2026 Valenzuela-Valderrama, Varas, Rubilar, Lorca, Mella, Espinosa-Bustos, Echeverría and Mellado. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Javier Echeverría; Marco Mellado
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