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

Xiaoping Chen1, Kehan Chen1, Xingxing Ma1

  • 1Center for Medical Research, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, 537000, Guangxi, China.

Scientific Reports
|January 16, 2026
PubMed

Insights

Baicalein shows anticancer effects in lung cancer by targeting key proteins in the PI3K-AKT pathway. This study clarifies its multi-target mechanism, offering new therapeutic insights for lung cancer treatment.

Area of Science:

  • Pharmacology
  • Oncology
  • Computational Biology

Background:

  • Lung cancer is a leading cause of cancer mortality worldwide.
  • Current therapies like immune checkpoint inhibitors and targeted therapies improve survival but face resistance and relapse.
  • Baicalein, a natural compound, has shown antitumor potential, but its mechanism in lung cancer is not fully understood.

Purpose of the Study:

  • To elucidate the multi-target pharmacological mechanism of Baicalein in lung cancer treatment.
  • To identify key targets and pathways affected by Baicalein using network pharmacology and computational methods.

Main Methods:

  • Utilized databases (TCMSP, Swiss Target Prediction, Pharm Mapper, GeneCards) to identify Baicalein and lung cancer targets.
  • Constructed a protein-protein interaction network using Cytoscape.
  • Performed immune infiltration analysis, molecular docking, and molecular dynamics simulations.

Main Results:

  • Identified 92 potential targets for Baicalein in lung cancer.
  • Determined five core targets: TP53, AKT1, MAPK3, BCL2, and EGFR, primarily involved in the PI3K-AKT signaling pathway.
  • Molecular dynamics simulations confirmed stable binding of Baicalein to AKT1, driven by hydrophobic interactions.

Conclusions:

  • Baicalein exerts antitumor effects in lung cancer through multi-target action on the PI3K-AKT pathway.
  • This study provides novel insights into Baicalein's therapeutic targets for lung cancer.