Evidence map›Paper›PMID 39955364›Full record

ArticleScientific reports2025

Integrated network pharmacology, molecular docking and experimental validation to investigate the mechanism of tannic acid in nasopharyngeal cancer.

Meiwei Wang, Longmei He, Pan Yan

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Meiwei WangThe Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, 410004, Hunan, China.
Longmei HeThe Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, 410004, Hunan, China.
Pan YanDepartment of Pharmacy, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, 410004, Hunan, China. 2022050025@usc.edu.cn.

Funding

Changsha Natural Science Foundation kq2403173Hunan Provincial Department of Education funded research projects 22C0225Hunan Provincial Department of Education funded research projects 23B0438National Natural Science Foundation of China 82203349Project of Changsha Central Hospital YNKY202202Project of Changsha Central Hospital YNKY202301Project of Changsha Central Hospital YNKY202305
6 · The paper itself

Abstract

Tannic acid (TA) is the primary bioactive component in the gallnut (Galla chinensis) and has exhibited the anticancer effects. However, the mechanism of its anti-cancer activity in nasopharyngeal carcinoma (NPC) remains unclear. This research aims to explore the underlying mechanism of TA in the treatment of nasopharyngeal cancer using network pharmacology, molecular docking and experimental validation. Firstly, the targets of TA and NPC were predicted and collected through databases, and the intersection targets were identified. Subsequently, protein-protein interaction (PPI) network analysis, Gene Ontology (GO) enrichment, Kyoto Encyclopedia of Genes Genomes (KEGG) pathway enrichment analysis, molecular docking and molecular dynamics (MD) simulation were conducted to uncover the potential mechanisms of TA in treatment of NPC. Finally, in vitro experiments were utilized to verify the mechanism of TA with anticancer activity in NPC. The results of network pharmacology revealed 42 intersection targets between NPC-related targets and TA-related targets. The phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT) signaling was identified as the main target pathway of TA against NPC. Additionally, molecular docking and MD simulation confirmed the closely binding affinities of TA with AKT1. Furthermore, the results of in vitro experiments demonstrated that TA exerts anticancer activity against NPC by targeting the PI3K/AKT signaling pathway, leading to the suppression of cell proliferation. TA is a promising therapeutic candidate for NPC through PI3K/AKT signaling pathway. These results provide insights into the clinical application of TA, particularly when considered in combination with other therapeutic modalities.

Indexed as

Molecular Docking SimulationNasopharyngeal CarcinomaNasopharyngeal NeoplasmsNetwork PharmacologyTanninsCell Line, TumorCell ProliferationHumansMolecular Dynamics SimulationPhosphatidylinositol 3-KinasesPolyphenolsProtein Interaction MapsProto-Oncogene Proteins c-aktSignal TransductionPhosphatidylinositol 3-KinasesPolyphenolsProto-Oncogene Proteins c-akttannic acidTanninsExperimental validationMolecular dockingNasopharyngeal carcinomaNetwork pharmacologyTannic acid

Identifiers

PMID39955364
PMCPMC11830035

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.