ArticleCurrent issues in molecular biology2023
Mechanism of Taxanes in the Treatment of Lung Cancer Based on Network Pharmacology and Molecular Docking.
Article in Current issues in molecular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Paclitaxel induces NM2-dependent cellular contraction through GEF-H1 dissociation from microtubules and RhoA/ROCK activation in cancer cells.Molecular oncology · 2026Article
- Symptom clusters and network analysis in lung cancer patients receiving taxane-based chemotherapy: a comprehensive assessment using the CIPNAT multi-scale tool.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Molecular Pharmacology at the Crossroads of Precision Medicine.Current issues in molecular biology · 2025Article
- Integrating Network Pharmacology and Metabolomics to Elucidate the Mechanism of Cryptotanshinone Against Platelet Aggregation.Current issues in molecular biology · 2025Article
- The impact of miRNAs on epithelial-mesenchymal transition in lung cancer and the latest advances in their use as diagnostic markers.Journal of cancer research and clinical oncology · 2025Review
- Characterization and Cytotoxic Assessment of Bis(2-hydroxy-3-carboxyphenyl)methane and Its Nickel(II) Complex.Molecules (Basel, Switzerland) · 2024Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Taxanes are natural compounds for the treatment of lung cancer, but the molecular mechanism behind the effects is unclear. In the present study, through network pharmacology and molecular docking, the mechanism of the target and pathway of taxanes in the treatment of lung cancer was studied. The taxanes targets were determined by PubChem database, and an effective compounds-targets network was constructed. The GeneCards database was used to determine the disease targets of lung cancer, and the intersection of compound targets and disease targets was obtained. The Protein-Protein Interaction (PPI) network of the intersection targets was analyzed, and the PPI network was constructed by Cytoscape 3.6.0 software. The hub targets were screened according to the degree value, and the binding activity between taxanes and hub targets was verified by molecular docking. The results showed that eight taxane-active compounds and 444 corresponding targets were screened out, and 131 intersection targets were obtained after mapping with lung cancer disease targets. The hub targets obtained by PPI analysis were TP53, EGFR, and AKT1. Gene Ontology (GO) biological function enrichment analysis obtained 1795 biological process (BP) terms, 101 cellular component (CC) terms, and 164 molecular function (MF) terms. There were 179 signaling pathways obtained by Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Twenty signaling pathways were screened out, mainly pathways in cancer, proteoglycans in cancer pathway, microRNAs in cancer pathway, and so on. Molecular docking shows that the binding energies of eight taxanes with TP53, EGFR, and AKT1 targets were less than -8.8 kcal/mol, taxanes acts on TP53, EGFR, and AKT1 targets through pathways in cancer, proteoglycans in cancer pathway and microRNAs in cancer pathway, and plays a role in treating lung cancer in biological functions such as protein binding, enzyme binding, and identical protein binding.
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