ArticleTranslational cancer research2023
Network pharmacology- and molecular docking-based investigation of the therapeutic potential and mechanism of daucosterol against multiple myeloma.
Article in Translational cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Integrative Network Analysis of Single-Cell RNA Findings and a Priori Knowledge Highlights Gene Regulators in Multiple Myeloma Progression.International journal of molecular sciences · 2026Article
- Therapeutic effect of daucosterol on DSS-induced colitis in mice.BMC microbiology · 2025Article
- Expanding the Knowledge of the Molecular Effects and Therapeutic Potential of Incomptine A for the Treatment of Non-Hodgkin Lymphoma: In Vivo and Bioinformatics Studies, Part III.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Antiprotozoal Activity AgainstMolecules (Basel, Switzerland) · 2024Article
- L-valine derived from the gut microbiota protects sepsis-induced intestinal injury and negatively correlates with the severity of sepsis.Frontiers in immunology · 2024Article
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Some studies have shown that daucosterol has potential anti-tumor activity, but its therapeutic effect on multiple myeloma (MM) has not been reported. This study aimed to evaluate the therapeutic effect daucosterol against MM and explore its possible mechanism through network pharmacology. Methods: We collected daucosterol and approved drugs for MM, and their potential target profiles were obtained. We used 2 major methods to collect the gene sets related to the physiological process of MM. Based on the protein-protein interaction (PPI) network in the STRING database, the correlation between the therapeutic targets of daucosterol and MM-related genes was calculated by using the random walk with restart (RWR) algorithm to systematically evaluate the therapeutic potential of daucosterol for MM. On this basis, through intersection analysis, the potential targets of daucosterol in treating MM were identified, and the signaling pathways were mined. Furthermore, the key targets were identified. Finally, the regulatory relationship between the predicted daucosterol and potential targets was verified by molecular docking method, and the interaction mode between daucosterol and key targets was analyzed. Results: A total of 13 approved drugs reported to treat MM were retrieved from the DrugBank database. A total of 35 potential targets of daucosterol were obtained, including 8 known targets and 27 newly predicted targets. In the PPI network, the target of daucosterol was significantly correlated with MM-related genes, indicating that it has therapeutic potential for MM. A total of 18 therapeutic targets for MM were obtained, which were significantly enriched in the FoxO signaling pathway, prostate cancer, the PI3K-Akt signaling pathway, insulin resistance, the AMPK signaling pathway, and pathways related to the regulation of Conclusions: This study highlights the use of daucosterol as a promising therapeutic drug for MM treatment. These data provide new insights into the potential mechanism of daucosterol in the treatment of MM, which may provide references for subsequent research and even the clinical treatment.
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