Examining the Mechanisms of Huachansu Injection on Liver Cancer through Integrated Bioinformatics Analysis

Chao-Yuan Huang1,2, Yi-Min Cheng1, Wei Li1

  • 1The First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, China.

Abstract

Insights

Huachansu injection may treat liver cancer by targeting specific proteins. This study used bioinformatics to identify potential therapeutic targets, revealing key proteins involved in cell cycle and other pathways for further investigation.

Area of Science:

  • Integrative bioinformatics
  • Traditional Chinese Medicine
  • Oncology

Background:

  • Huachansu injection, derived from toad skin, is used in traditional medicine.
  • Liver cancer remains a significant global health challenge requiring novel therapeutic strategies.

Purpose of the Study:

  • To elucidate the anti-liver cancer mechanism of Huachansu injection.
  • To identify potential therapeutic targets using integrated bioinformatics analysis.

Main Methods:

  • Prediction of active components' targets using SwissTargetPrediction.
  • Identification of liver cancer disease targets from GEO datasets and public databases.
  • Construction of Protein-Protein Interaction (PPI) networks, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses.
  • Molecular docking simulations using Auto Dock Vina.

Main Results:

  • Screened 20 active components and identified 568 potential targets.
  • Identified 3,227 liver cancer-associated genes, with 159 upregulated and 278 downregulated.
  • Cross-referencing revealed 13 upregulated and 10 downregulated targets.
  • Molecular docking identified 7 potential upregulated targets (e.g., CDK1, AURKB) and 3 downregulated targets (e.g., SHBG, SRD5A2).

Conclusions:

  • CDK1, AKR1B1, MMP12, AURKB, CHEK1, AURKA, and TTK are potential upregulated targets for Huachansu injection in liver cancer treatment.
  • The mechanism involves pathways like cell cycle, cellular senescence, and p53 signaling.
  • SHBG, SRD5A2, and NR1I2 are identified as potential downregulated targets.