Identification and analysis of significant genes in nonalcoholic steatohepatitis-hepatocellular carcinoma transformation: Bioinformatics analysis and machine learning approach
- Qiyi Yu 1, Yidong Zhang 1, Jiaping Ni 1, Yumeng Shen 1, Weiwei Hu 2
- Qiyi Yu 1, Yidong Zhang 1, Jiaping Ni 1
- 1Center for New Drug Safety Evaluation and Research, State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 211198, China.
- 2Center for New Drug Safety Evaluation and Research, State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 211198, China; Lingang Laboratory, Shanghai 200032, China.
- 0Center for New Drug Safety Evaluation and Research, State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 211198, China.
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View abstract on PubMed
Summary
This summary is machine-generated.Researchers identified five key genes (ME1, TP53I3, SOCS2, GADD45G, CYP7A1) driving nonalcoholic steatohepatitis (NASH) to liver cancer (HCC) progression. TP53I3 and SOCS2 show particular promise for diagnosing and treating NASH-related HCC.
Area Of Science
- Hepatology and Oncology
- Molecular Biology
- Genetics
Background
- Nonalcoholic steatohepatitis (NASH) is a growing cause of hepatocellular carcinoma (HCC).
- Understanding the molecular mechanisms of NASH progression to HCC is crucial for early detection and effective treatment strategies.
Purpose Of The Study
- To identify prognostic genes associated with the transformation from NASH to HCC.
- To develop a diagnostic model for NASH prediction.
- To investigate the role of specific genes and cell types in NASH-HCC progression.
Main Methods
- Bioinformatic analysis of gene expression data.
- Algorithm selection to identify significant prognostic genes.
- External dataset validation and in vitro experiments using NASH and HCC cell lines.
- Immune infiltration and single-cell RNA sequencing analyses.
Main Results
- Five significant prognostic genes (ME1, TP53I3, SOCS2, GADD45G, CYP7A1) were identified for NASH-HCC transformation.
- A diagnostic model for NASH prediction achieved high accuracy (AUC=0.988).
- TP53I3 and SOCS2 were validated as potential critical genes in NASH-HCC progression.
- Single-cell analysis revealed the promoting role of specific hepatocytes in NASH-HCC transformation.
Conclusions
- The study identified and validated five key genes involved in NASH-HCC transformation using multi-omics approaches.
- TP53I3 and SOCS2 are highlighted as potential critical genes for NASH-HCC progression.
- The findings offer novel insights into the diagnosis and treatment of NASH-related HCC.
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