ArticleBioMed research international2022
Investigating the Role of Dahuang in Hepatoma Treatment Using Network Pharmacology, Molecular Docking, and Survival Analysis.
Article in BioMed research international, 2022. 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, 6 citations in OpenAlex.
- Mechanism of Dahuang-Dangshen drug pairs in the treatment of HCC based on network pharmacology, bioinformatics, molecular docking and experimental verification.Medical oncology (Northwood, London, England) · 2025Article
- Traditional Chinese Medicine for Liver Cancer Treatment: Network Pharmacology Research.Current topics in medicinal chemistry · 2025Review
- Aloe-emodin: Progress in Pharmacological Activity, Safety, and Pharmaceutical Formulation Applications.Mini reviews in medicinal chemistry · 2024Review
- Network pharmacology‒based analysis of marine cyanobacteria derived bioactive compounds for application to Alzheimer's disease.Frontiers in pharmacology · 2023Article
- Uncovering the Key Targets and Therapeutic Mechanisms of Qizhen Capsule in Gastric Cancer through Network Pharmacology and Bioinformatic Analyses.Computational and mathematical methods in medicine · 2022Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
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Abstract
Hepatoma is one of the most common malignant tumors. The incidence rate is high in developing countries, and China has the most significant number of cases. Dahuang is a classic traditional antitumor drug commonly used in China and has also been applied to treat hepatoma. However, the potential mechanism of Dahuang in treating hepatoma is not clear. Therefore, this study is aimed at elucidating the possible molecular mechanism and key targets of Dahuang using methods of network pharmacology, molecular docking, and survival analysis. Firstly, the active ingredients and key targets of Dahuang were analyzed through public databases, and then the drug-ingredient-target-disease network diagram of Dahuang against hepatoma was constructed. Five main active components and five core targets were determined according to the enrichment degree. Enrichment analysis demonstrated that Dahuang treated hepatoma through the multiple pathways in cancer. Additionally, molecular docking predicted that aloe-emodin and PIK3CG depicted the best binding energy. Survival analysis indicated that a high/ESR1 gene expression had a relatively good prognosis for patients with hepatoma (
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