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

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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Journal
Pharmacognosy Magazine
Published
2024-12-18
DOI
https://doi.org/10.1177/09731296241294143
Citations
1
Primary Topic
Cholesterol and Lipid Metabolism
Type
article
Field-Weighted Citation Impact
0.57
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article

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

Zelin Ye, Shuqin Cheng, Ming Zhang, Jiaxing Yu et al.
1 citations
Pharmacognosy Magazine
Cholesterol and Lipid Metabolism
0.57
article

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

Zelin Ye, Shuqin Cheng, Ming Zhang, Jiaxing Yu, Xinlei Zhao
article en
1 citations

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.

Pharmacognosy MagazineVol. 21(4)
Fujian Medical University (CN), Nantong University (CN), Tianjin Medical University Cancer Institute and Hospital (CN), Ezhou Central Hospital (CN), Zhangzhou Municipal Hospital of Fujian Province (CN), Second People's Hospital of NanTong (CN), Shandong Maternal and Child Health Hospital (CN)
Good health and well-being
Openalex Percentile: Top 26%
Cholesterol and Lipid Metabolism
0.57
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