ArticleScientific reports2020
Mechanism of Astragalus membranaceus in the treatment of laryngeal cancer based on gene co-expression network and molecular docking.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 25 citations in OpenAlex.
- Network Analysis of Gut Microbial Communities Reveals Key Reason for Quercetin Protects against Colitis.Microorganisms · 2024Article
- Astragali radix (Huangqi): a time-honored nourishing herbal medicine.Chinese medicine · 2024Review
- Network pharmacology-based approach to elucidate the pharmacologic mechanisms of natural compounds fromHeliyon · 2024Article
- Network pharmacology: towards the artificial intelligence-based precision traditional Chinese medicine.Briefings in bioinformatics · 2023Review
- Investigation of imbalances in essential/toxic metal levels in the blood of laryngeal cancer patients in comparison with controls.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2023Article
- Mechanism of Magnolia Volatile Oil in the Treatment of Acute Pancreatitis Based on GC-MS, Network Pharmacology, and Molecular Docking.Evidence-based complementary and alternative medicine : eCAM · 2023Article
- NLR, PLR, LMR and MWR as diagnostic and prognostic markers for laryngeal carcinoma.American journal of translational research · 2022Article
- Exploring the mechanism of Yixinyin for myocardial infarction by weighted co-expression network and molecular docking.Scientific reports · 2021Article
- The modulatory properties ofPeerJ · 2021Article
- Anti-Cancer Effects of Green Tea Epigallocatchin-3-Gallate and Coffee Chlorogenic Acid.Molecules (Basel, Switzerland) · 2020Review
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5 authors at 4 institutions in 1 country.
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Abstract
Astragalus membranaceus (HUANG QI, HQ) is a kind of traditional Chinese medicine. Researchers have widely concerned its antitumor effect. At present, there is still a lack of research on the treatment of laryngeal cancer with HQ. In this study, we integrated data from the weighted gene co-expression network of laryngeal cancer samples and the components and targets of HQ. A new method for dividing PPI network modules is proposed. Important targets of HQ treatment for laryngeal cancer were obtained through the screening of critical modules. These nodes performed differential expression analysis and survival analysis through external data sets. GSEA enrichment analysis reveals pathways for important targets participation. Finally, molecular docking screened active ingredients in HQ that could interact with important targets. Combined with the laryngeal cancer gene co expression network and HQ PPI network, we obtained the critical module related to laryngeal cancer. Among them, MMP1, MMP3, and MMP10 were chosen as important targets. External data sets demonstrate that their expression in tumor samples is significantly higher than in normal samples. The survival time of patients with high expression group was significantly shortened, which is a negative factor for prognosis. GSEA enrichment analysis found that they are mainly involved in tumor-related pathways such as ECM receptor interaction and Small cell lung cancer. The docking results show that the components that can well bind to important targets of HQ are quercetin, rutin, and Chlorogenic acid, which may be the primary mechanism of the anti-cancer effect of HQ. These findings provide a preliminary research basis for Chinese medicine treatment of laryngeal cancer and offer ideas to related drug design.
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