Evidence map›Paper›PMID 40098117›Full record

ArticleBMC complementary medicine and therapies2025

Revealing the multi-target compounds of Sarcandra glabra identification and inhibition of novel target genes for the treatment of pancreatic cancer.

Xing Liu, Jianghong Ou

Abstract read
In one paragraph

Article in BMC complementary medicine and therapies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Xing LiuDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Jianghong OuDepartment of Integrated Chinese and Western Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, 410004, China. 617325059@163.com.

Funding

National Natural Science Foundation of China 82304796
6 · The paper itself

Abstract

backgroundS. glabra has been widely used to treat tumors in traditional Chinese medicine (TCM). However, the specific mechanism of action of S. glabra in pancreatic cancer remains unclear. In this study, network pharmacological analysis was used to identify the active components of S. glabra and their corresponding targets for the treatment of pancreatic cancer. Furthermore, molecular docking, molecular dynamic simulations, and in vitro experiments were performed to validate the findings.

methodsThe active components of S. glabra and their corresponding targets for the treatment of pancreatic cancer were identified using the TCMSP database and a literature search. Differentially expressed genes were identified using data from the Gene Expression Omnibus (GEO) database, and their protein-protein interaction (PPI) network was constructed using the STRING platform. The target genes of S. glabra were further assessed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses in the R software. Subsequently, a protein-protein interaction (PPI) network and a composite target-pathway network were established. The target genes were subjected to survival and mutation analyses. Molecular docking and molecular dynamic simulations were used to validate the interaction between the hub target genes and S. glabra in vitro. In addition, cell viability and qRT-PCR verification of S. glabra against pancreatic cancer in vitro.

resultsA total of 20 active components and 70 targets were identified. Based on the PPI network, CASP3, MMP9, CCND1, EGF, MMP2, CASP8, ERBB2, STAT1, and PPARG were identified as hub target genes. Enrichment analysis showed that S. glabra may primarily affect pathways such as p53 signaling, transcriptional dysregulation in cancer, proteoglycans in cancer, pancreatic cancer, and cell cycle. Molecular docking and molecular dynamic simulations indicated stable binding between anhydroicaritin-GSK3B and quercetin-PPARG. In vitro experiments demonstrated that treatment with S. glabra significantly inhibited the growth of PANC-1 cells and downregulated expression of GSK3B and PPARG (P < 0.05).

conclusionThis study demonstrates the potential of S. glabra, a herb in traditional Chinese medicine, for treating pancreatic cancer. The findings provide insights into the mechanism of action of the active ingredients of S. glabra, offering a strong theoretical foundation for its various clinical applications. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Drugs, Chinese HerbalPancreatic NeoplasmsCell Line, TumorHumansMedicine, Chinese TraditionalMolecular Docking SimulationMolecular Dynamics SimulationProtein Interaction MapsDrugs, Chinese HerbalMolecular dockingMolecular dynamic simulationsNetwork pharmacologyPancreatic cancerSarcandra glabra

Identifiers

PMID40098117
PMCPMC11912788

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