Evidence map›Paper›PMID 41545576›Full record

ArticleScientific reports2026

Identifying the potential anti-lung cancer targets of Baicalein using a network pharmacology approach.

Xiaoping Chen, Kehan Chen, Xingxing Ma, Bo Chen, Peng Liang, Qianxi Chen

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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaoping Chen *Center for Medical Research, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, 537000, Guangxi, China.
Kehan Chen *Center for Medical Research, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, 537000, Guangxi, China.
Xingxing MaCenter for Medical Research, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, 537000, Guangxi, China.
Bo ChenThoracic surgery, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, 537000, Guangxi, China.
Peng LiangCenter for Medical Research, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, 537000, Guangxi, China. jpdiary@163.com.
Qianxi ChenCenter for Medical Research, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, 537000, Guangxi, China. wonderfulqx@163.com.

Funding

Guangxi Science and Technology Major Project GuikeAA22096030the Guangxi Natural Science Foundation 2025GXNSFAA0691006the Western Medicine Research Project of Guangxi Health Commission Z-K20241734the Western Medicine Research Project of Guangxi Health Commission Z-K20241735
6 · The paper itself

Abstract

Background Lung cancer remains the deadliest malignancy globally. Although therapies, including immune checkpoint inhibitors and targeted therapy, have gradually prolonged overall survival, resistance and relapse still plague clinical management. Baicalein, a naturally derived compound exhibiting potent antitumor and anti-inflammatory properties, is widely regarded as a promising candidate for the development of anticancer therapeutic agents. Nevertheless, its mechanism of action in lung cancer remains unclear. Objective This study aims to elucidate the multi-target pharmacological mechanism by which Baicalein acts in lung cancer treatment, utilizing network pharmacology, immune infiltration analysis, molecular docking, and molecular dynamics simulation. Methods Using the TCMSP, Swiss Target Prediction, and Pharm Mapper databases, we identified the relevant targets of Baicalein. Meanwhile, lung cancer-associated targets were retrieved from the GeneCards database. The targets were obtained by taking the intersection of these two sets. A protein-protein interaction (PPI) network was then constructed using Cytoscape. Furthermore, the influence of these core targets to the tumor immune microenvironment was investigated via immune infiltration analysis. Finally, we employed molecular docking to evaluate the binding affinity between Baicalein and targets, followed by molecular dynamics simulations to confirm the stability of these interactions. Results A total of 92 potential targets of Baicalein for lung cancer were identified. Five core targets, including TP53, AKT1, MAPK3, BCL2, and EGFR, were determined based on the connectivity characteristics of the PPI network. These core targets were significantly enriched in the PI3K-AKT signaling pathway. Molecular dynamics simulations displayed that the binding free energy of the AKT1-baicalein complex was - 199.8 kJ/mol. Energy decomposition analysis suggested that complex stabilization is primarily driven by shape complementarity and hydrophobic effects, rather than conventional hydrogen bonding or salt bridges. Conclusion This study reveals that the antitumor activity of Baicalein is mediated through its multi-target action on core components of the PI3K-AKT pathway, thereby offering novel insights for exploring its therapeutic targets.

Indexed as

Antineoplastic AgentsFlavanonesLung NeoplasmsNetwork PharmacologyHumansMolecular Docking SimulationMolecular Dynamics SimulationPhosphatidylinositol 3-KinasesProtein Interaction MapsProto-Oncogene Proteins c-aktSignal TransductionTumor MicroenvironmentAntineoplastic AgentsbaicaleinFlavanonesPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktAKT1BaicaleinLung cancerNetwork pharmacologyPI3K-Akt signaling pathway

Identifiers

PMID41545576
PMCPMC12886994

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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.