Estrone‐α‐2‐Deoxy‐Glucoside as a Targeted Therapy for Triple‐Negative Breast Cancer: Aromatase Inhibition and Cytotoxicity

Aromatase inhibitors (AIs) are vital in the treatment of estrogen-dependent breast cancer, especially in postmenopausal women. In this study, a series of steroidal glycosides (SGs) derived from trans-androsterone (tAND), estrone (E1), and estradiol (E2) were synthesized using a one-pot multi-enzyme glycosylation approach and structurally characterized via HPLC, MS, and NMR. Among the synthesized compounds, E1-α-2DG (2b) and E2-α-2DG (3b) demonstrated the most potent aromatase inhibition, with IC<sub>50</sub> values of 0.101 ± 0.001 μM and 0.159 ± 0.009 μM, respectively. Molecular docking revealed that these glycosides form key hydrogen bonds with catalytic residues and the heme group of CYP19A1. In vitro cytotoxicity showed that E1-α-2DG selectively inhibited the growth of MCF-7 and MDA-MB-231 breast cancer cells in a dose-dependent manner, with the highest potency observed against triple-negative MDA-MB-231 cells (IC<sub>50</sub> = 20.46 ± 2.92 μM), while exhibiting no toxicity toward non-cancerous HEK293 cells. These findings suggest that glycosylation enhances the pharmacological potential of steroidal scaffolds and highlights E1-α-2DG as a promising lead compound for the development of safer, dual-function breast cancer therapies.

Authors

Institutions

Publication Details

Journal
Chemical Biology & Drug Design
Published
2026-01-30
DOI
https://doi.org/10.1111/cbdd.70251
Primary Topic
Estrogen and related hormone effects
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estrone‐α‐2‐Deoxy‐Glucoside as a Targeted Therapy for Triple‐Negative Breast Cancer: Aromatase Inhibition and Cytotoxicity

Feng‐Pai Chou, Sheng‐Cih Huang, Po‐Yun Hsiao, Tzu‐Yu Huang et al.
Chemical Biology & Drug Design
Estrogen and related hormone effects
article

Estrone‐α‐2‐Deoxy‐Glucoside as a Targeted Therapy for Triple‐Negative Breast Cancer: Aromatase Inhibition and Cytotoxicity

Feng‐Pai Chou, Sheng‐Cih Huang, Po‐Yun Hsiao, Tzu‐Yu Huang, Meng‐Ru Wang, Tung‐Kung Wu
article en

Abstract

Aromatase inhibitors (AIs) are vital in the treatment of estrogen-dependent breast cancer, especially in postmenopausal women. In this study, a series of steroidal glycosides (SGs) derived from trans-androsterone (tAND), estrone (E1), and estradiol (E2) were synthesized using a one-pot multi-enzyme glycosylation approach and structurally characterized via HPLC, MS, and NMR. Among the synthesized compounds, E1-α-2DG (2b) and E2-α-2DG (3b) demonstrated the most potent aromatase inhibition, with IC<sub>50</sub> values of 0.101 ± 0.001 μM and 0.159 ± 0.009 μM, respectively. Molecular docking revealed that these glycosides form key hydrogen bonds with catalytic residues and the heme group of CYP19A1. In vitro cytotoxicity showed that E1-α-2DG selectively inhibited the growth of MCF-7 and MDA-MB-231 breast cancer cells in a dose-dependent manner, with the highest potency observed against triple-negative MDA-MB-231 cells (IC<sub>50</sub> = 20.46 ± 2.92 μM), while exhibiting no toxicity toward non-cancerous HEK293 cells. These findings suggest that glycosylation enhances the pharmacological potential of steroidal scaffolds and highlights E1-α-2DG as a promising lead compound for the development of safer, dual-function breast cancer therapies.

Chemical Biology & Drug DesignVol. 107(2)
National Yang Ming Chiao Tung University (TW)
Ministry of Education, India, Ministry of Science and Technology, Taiwan
Good health and well-being
Openalex Percentile: Top 68%
Estrogen and related hormone effects
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.