# Multitarget Design of Steroidal Inhibitors Against Hormone-Dependent Breast Cancer: An Integrated In Silico Approach

**Authors:** Juan Rodríguez-Macías, Oscar Saurith-Coronell, Carlos Vargas-Echeverria, Daniel Insuasty Delgado, Edgar A. Márquez Brazón, Ricardo Gutiérrez De Aguas, José R. Mora, José L. Paz, Yovanni Marrero-Ponce

PMC · DOI: 10.3390/ijms26157477 · 2025-08-02

## TL;DR

Researchers designed steroid compounds that target three breast cancer-related receptors, potentially offering a new treatment for resistant hormone-dependent breast cancer.

## Contribution

A multitarget computational approach was used to design steroidal inhibitors against PR, ER-α, and HER2 in hormone-dependent breast cancer.

## Key findings

- Estero-255 showed strong binding affinities and stable interactions with all three targets.
- Molecular dynamics simulations confirmed the structural integrity and stability of the top compounds.
- The compounds may disrupt the PI3K/AKT/mTOR pathway, offering a strategy to overcome treatment resistance.

## Abstract

Hormone-dependent breast cancer, particularly in its treatment-resistant forms, remains a significant therapeutic challenge. In this study, we applied a fully computational strategy to design steroid-based compounds capable of simultaneously targeting three key receptors involved in disease progression: progesterone receptor (PR), estrogen receptor alpha (ER-α), and HER2. Using a robust 3D-QSAR model (R2 = 0.86; Q2_LOO = 0.86) built from 52 steroidal structures, we identified molecular features associated with high anticancer potential, specifically increased polarizability and reduced electronegativity. From a virtual library of 271 DFT-optimized analogs, 31 compounds were selected based on predicted potency (pIC50 > 7.0) and screened via molecular docking against PR (PDB 2W8Y), HER2 (PDB 7JXH), and ER-α (PDB 6VJD). Seven candidates showed strong binding affinities (ΔG ≤ −9 kcal/mol for at least two targets), with Estero-255 emerging as the most promising. This compound demonstrated excellent conformational stability, a robust hydrogen-bonding network, and consistent multitarget engagement. Molecular dynamics simulations over 100 nanoseconds confirmed the structural integrity of the top ligands, with low RMSD values, compact radii of gyration, and stable binding energy profiles. Key interactions included hydrophobic contacts, π–π stacking, halogen–π interactions, and classical hydrogen bonds with conserved residues across all three targets. These findings highlight Estero-255, alongside Estero-261 and Estero-264, as strong multitarget candidates for further development. By potentially disrupting the PI3K/AKT/mTOR signaling pathway, these compounds offer a promising strategy for overcoming resistance in hormone-driven breast cancer. Experimental validation, including cytotoxicity assays and ADME/Tox profiling, is recommended to confirm their therapeutic potential.

## Linked entities

- **Proteins:** ERBB2 (erb-b2 receptor tyrosine kinase 2)
- **Diseases:** breast cancer (MONDO:0004989)

## Full-text entities

- **Genes:** PGR (progesterone receptor) [NCBI Gene 5241] {aka NR3C3, PR}, MTOR (mechanistic target of rapamycin kinase) [NCBI Gene 2475] {aka FRAP, FRAP1, FRAP2, RAFT1, RAPT1, SKS}, PIK3CB (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit beta) [NCBI Gene 5291] {aka P110BETA, PI3K, PI3KBETA, PIK3C1}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, ESR1 (estrogen receptor 1) [NCBI Gene 2099] {aka ER, ESR, ESRA, ESTRR, Era, NR3A1}, ERBB2 (erb-b2 receptor tyrosine kinase 2) [NCBI Gene 2064] {aka CD340, HER-2, HER-2/neu, HER2, MLN 19, MLN-19}
- **Diseases:** cytotoxicity (MESH:D064420), Breast Cancer (MESH:D001943)
- **Chemicals:** hydrogen (MESH:D006859), DeltaG (-), steroid (MESH:D013256)

## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12348013/full.md

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Source: https://tomesphere.com/paper/PMC12348013