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First-of-its-kind STARD3 Inhibitor: In Silico Identification and Biological Evaluation as Anticancer Agent
Margherita Lapillo1, Barbara Salis2,3, Stefano Palazzolo2
1Department of Pharmacy, University of Pisa, 56126 Pisa, Italy.
Abstract:
STARD3 is a cellular protein that represents an attractive target for cancer therapy, being overexpressed in breast cancer and implied in the development of colorectal, gastric, and prostate cancers. Unfortunately, no STARD3 inhibitor has been identified yet. In this work, an in silico strategy was applied to predict a reliable binding mode of cholesterol into STARD3 and to develop a pharmacophore-based virtual screening protocol that allowed the identification of the first STARD3 inhibitor ever reported. The identified compound VS1 binds STARD3 with micromolar affinity (IC50 = 35 μM) and shows antiproliferative activity in breast (MCF7 and MDA- MB-231) and colon (HCT-116) cancer cell lines in the same concentration range (IC50 = 49.7-105.5 μM). Although VS1 has a moderate potency, we demonstrated that it specifically targets STARD3 in the cells and induces its degradation. Overall, the results confirm the reliability of the computational strategies herein applied and the identification of the first hit compound for the development of novel potent STARD3 inhibitors.
Insights
Researchers identified the first STARD3 inhibitor, VS1, using computational methods. This compound shows antiproliferative effects in breast and colon cancer cells and targets STARD3 for potential cancer therapies.
Area of Science:
- Biochemistry
- Molecular Biology
- Cancer Research
Background:
- Steroidogenic acute regulatory protein-related lipid transfer (START) domain containing 3 (STARD3) is overexpressed in various cancers, including breast, colorectal, gastric, and prostate cancers.
- STARD3 is a potential therapeutic target due to its role in cancer development, yet no inhibitors have been identified to date.
Purpose of the Study:
- To identify the first inhibitor of STARD3 using computational strategies.
- To characterize the binding mode of cholesterol into STARD3.
- To develop a pharmacophore-based virtual screening protocol for STARD3 inhibitor discovery.
Main Methods:
- In silico prediction of cholesterol binding mode to STARD3.
- Pharmacophore-based virtual screening to identify potential inhibitors.
- In vitro assays to determine binding affinity (IC50) and antiproliferative activity.
- Cellular assays to confirm STARD3 targeting and degradation.
Main Results:
- The first STARD3 inhibitor, VS1, was identified with a micromolar affinity (IC50 = 35 μM).
- VS1 demonstrated antiproliferative activity against breast (MCF7, MDA-MB-231) and colon (HCT-116) cancer cell lines (IC50 = 49.7–105.5 μM).
- VS1 specifically targets STARD3 within cells, leading to its degradation, despite moderate potency.
Conclusions:
- The study successfully identified the first STARD3 inhibitor, VS1, validating the computational approaches used.
- VS1 serves as a crucial starting point for developing more potent STARD3 inhibitors for cancer therapy.
- The findings highlight STARD3 as a druggable target with potential therapeutic implications for multiple cancer types.
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