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Updated: Jan 9, 2026

A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma
Published on: September 30, 2021
Clinical-data-driven pharmacological framework in liver disease: From liver cirrhosis to hepatocellular carcinoma
Ki-Kwang Oh1, Goo-Hyun Kwon1, Jung-A Eom1
1Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Background And Purpose:
This study aimed to identify key effectors and their potential ligands relevant to liver cirrhosis (LC), hepatocellular carcinoma (HCC) and adjacent non-tumour tissue (ANT; reflecting the tumour-influenced yet non-cancerous liver environment rather than true disease tissue) using clinical GEO data (GSE25097) within a systems pharmacology framework.
Experimental Approach:
Differentially expressed genes (DEGs;|log₂FC| > 1) were identified and visualised using R software in conjunction with the STRING database. Protein-protein interaction (PPI) networks were constructed, with up-regulated and down-regulated genes depicted as blue and red circles, respectively. Candidate ligands were screened from a repository of natural organic compounds (NOCs), focussing on flavonoids and alkaloids. Kaplan-Meier Plotter (KMP), molecular docking tests (MDT) and density functional theory (DFT) analyses were employed to ensure robustness.
Key Results:
A total of 123 down-regulated and 146 up-regulated genes were identified and mapped into PPI networks. Among these, CCNB1, associated with the p53 signalling pathway, emerged as the most significantly up-regulated gene across LC, HCC, and ANT tissues. Flavopiridol, a flavonoid-based inhibitor, was initially highlighted; however, subsequent screening identified coronaridine hydroxyindolenine (CH), an alkaloid, as the most promising candidate. CH demonstrated superior binding affinity compared to flavopiridol in both MDT and DFT analyses.
Conclusion And Implications:
The CH-CCNB1 complex exhibited high stability, indicating that CH may represent potential candidate warranting further study against LC, HCC and ANT.
Insights
This study identified coronaridine hydroxyindolenine (CH) as a promising alkaloid candidate for liver cirrhosis (LC) and hepatocellular carcinoma (HCC). CH showed strong binding affinity to CCNB1, a key gene in liver cancer tissues.
Area of Science:
- * Computational biology and bioinformatics
- * Systems pharmacology
- * Molecular docking and DFT analysis
Background:
- * Liver cirrhosis (LC) and hepatocellular carcinoma (HCC) are significant health concerns.
- * Adjacent non-tumour (ANT) tissues offer insights into the tumor microenvironment.
- * Understanding molecular effectors and ligands is crucial for therapeutic development.
Purpose of the Study:
- * To identify key molecular effectors and potential ligands in LC, HCC, and ANT tissues.
- * To utilize clinical GEO data (GSE25097) within a systems pharmacology framework.
- * To screen natural organic compounds (NOCs) for therapeutic potential.
Main Methods:
- * Identification and visualization of differentially expressed genes (DEGs) using R and STRING.
- * Construction of protein-protein interaction (PPI) networks.
- * Screening of natural organic compounds (flavonoids, alkaloids), molecular docking, and DFT analyses.
Main Results:
- * Identified 123 down-regulated and 146 up-regulated genes in LC, HCC, and ANT tissues.
- * CCNB1, linked to the p53 pathway, was the most significantly upregulated gene.
- * Coronaridine hydroxyindolenine (CH), an alkaloid, demonstrated superior binding affinity to CCNB1 compared to flavopiridol.
Conclusions:
- * The CH-CCNB1 complex exhibits high stability.
- * CH is a potential therapeutic candidate for further investigation against LC, HCC, and ANT.
- * This study highlights the potential of systems pharmacology in identifying novel drug leads.
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