ArticleFrontiers in pharmacology2022
The potential mechanism of Longsheyangquan Decoction on the treatment of bladder cancer: Systemic network pharmacology and molecular docking.
Article in Frontiers in pharmacology, 2022. 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, 4 citations in OpenAlex.
- Traditional Chinese medicine in non-muscle-invasive bladder cancer: a scoping review of syndrome characteristics and critical synthesis of pharmacological and mechanistic evidence.Frontiers in pharmacology · 2026Review
- Dujieqing decoction suppresses multiple myeloma growth by inhibiting the Wnt/β-catenin pathway.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2025Article
- Network Pharmacology Combined with Bioinformatics Analysis to Texplore the Potential Mechanism of Phellodendri Chinensis Cortex Against Bladder Cancer.Cell biochemistry and biophysics · 2024Article
- Study on the Mechanism of Yadanzi Oil in Treating Lung Cancer Based on Network Pharmacology and Molecular Docking Technology.ACS omega · 2024Article
- Mechanisms of Xiaozheng decoction for anti-bladder cancer effects via affecting the GSK3β/β-catenin signaling pathways: a network pharmacology-directed experimental investigation.Chinese medicine · 2023Article
- The Related Mechanisms Predicted through Network-Based Pharmacological Analysis and the Anti-Inflammatory Effects ofInternational journal of molecular sciences · 2023Article
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Authors and funding
15 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Our goal was to explore the bioactive constituents of Longsheyangquan (LSYQ) Decoction and elucidate its mechanisms on the treatment of bladder cancer (BCa). A total of 38 compounds were selected based on their pharmacokinetic properties in three large traditional Chinese medicine (TCM) databases. 654 putative targets of LSYQ Decoction were predicted using a structure-based, reverse-docking algorithm online, of which 343 overlapped with BCa-related protein-coding genes. The protein-protein interaction (PPI) network was constructed to perform module analysis for further Gene Ontology (GO) annotations and Kyoto Encyclopedia Genes and Genomes (KEGG) pathway enrichment analysis, which identified
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