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    Exploring Beta-sitosterol’s Role in Breast Cancer Treatment via Integrated Network Pharmacological Analysis and in vitro Validation

    Jiaxing Yu1, Shuqin Cheng2, Zelin Ye3, Ming Zhang4, Xinlei Zhao5 Corresponding author

    1. 1Department of Pediatric Cancer,Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer,Tianjin‘s Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, CHINA.
    2. 2Department of Pharmacy, Ezhou Central Hospital, Ezhou, Hubei, CHINA.
    3. 3Department of Breast Surgery, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, CHINA.
    4. 4Department of Clinical Laboratory, Zhucheng Maternal and Child Health Hospital, Zhucheng, Shandong, CHINA.
    5. 5Department of General Surgery, The Second People’s Hospital of Nantong, Jiangsu, CHINA.

    CORRESPONDENCE

    Xinlei Zhao

    Department of General Surgery, The Second People’s Hospital of Nantong, Jiangsu, CHINA.

    zhaoxinlei2024@outlook.com

    Received: 22-04-2024; Accepted: 07-10-2024.

    Volume 21, Issue 4 · pp. 1201–1211 · PUBLISHED 2025 · DOI: 10.1177/09731296241294143

    View on Pharmacogn. Mag. original site ↗

    ABSTRACT

    Background: Beta-sitosterol, a phytosterol similar to cholesterol, is found in various plants and is recognized for its potential anticancer properties; still, the mechanism of breast cancer (BC) remains elusive. Objectives: This study investigates the potential targets of beta-sitosterol in BC using network pharmacological analysis and in vitro validation. Materials and Methods: Targets of beta-sitosterol and BC were identified from online databases, including Swiss Target Prediction, SuperPred, GeneCards, and DisGeNET. Protein–protein interactions of common targets were analyzed using STRING version 11.0, and network construction and core target screening were performed with Cytoscape 3.8.0. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and gene ontology (GO) annotation were conducted using the ShinyGO web tool. Molecular docking analysis was done with AutoDock Vina and the in vitro validation, including cell viability, apoptosis, and gene expression analysis was done using MTT assay, acridine orange/ethidium bromide staining, and polymerase chain reaction (PCR), respectively. Results: Sixty-eight common targets for beta-sitosterol and BC were identified from 209 beta-sitosterol targets and 1,350 BC-related genes. Five core targets (HIF1A, ESR1, STAT3, TNF, and MAPK3) were identified. GO analysis linked common targets to biological processes, cellular components, and molecular functions. KEGG pathway analysis showed enrichment in pathways such as central carbon metabolism in cancer, vascular endothelial growth factor signaling, and prolactin signaling. Beta-sitosterol’s impact on MCF7 cell viability was assessed via MTT assay, and its molecular effects were explored through PCR. Results demonstrated beta-sitosterol’s ability to hinder tumor progression by modulating genes involved in ESR1, mitogen-activated protein kinase, and tumor necrosis factor signaling pathways. Conclusion: These findings highlight beta-sitosterol’s potential as an anticancer agent, offering new perspectives for clinical investigations through the modulation of key signaling pathways in BC.

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      Yu, J., Cheng, S., Ye, Z., Zhang, M., & Zhao, X. (2025). Exploring Beta-sitosterol’s Role in Breast Cancer Treatment via Integrated Network Pharmacological Analysis and in vitro Validation. Pharmacognosy Magazine, 21(4), 1201–1211. https://doi.org/10.1177/09731296241294143