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Updated: Jan 11, 2026

A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma
Published on: September 30, 2021
NAP1L4 in hepatocellular carcinoma progression and treatment from gene expression to clinical impact
Junjie Lin1,2, Hehe Yin2,3, Zihan Xie1,2
1Department of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230031, China.
Background:
Hepatocellular carcinoma (HCC) remains one of the deadliest malignancies globally, posing substantial health threats and economic burdens. Despite advances in therapeutic modalities-including surgical resection, liver transplantation, and targeted therapies-HCC prognosis remains unsatisfactory. This highlights an urgent need for novel biomarkers to improve prognostic stratification. Senescence-related genes (SRGs) have emerged as promising candidates for HCC prognostic exploration, making their association with clinical outcomes the focus of this study..
Methods:
Comprehensive machine learning was applied to screen SRGs associated with HCC survival, identifying key prognostic genes. A clinical nomogram based on SRG scores was constructed and validated. NAP1L4 expression in HCC was verified using GEPIA2.0, UALCAN, HPA databases, and clinical samples from 40 patients at the First Affiliated Hospital of Anhui Medical University. In vitro, NAP1L4 was knocked down in HCCLM3 cells to assess proliferation and migration changes. RNA-seq analyzed differentially expressed genes post-knockdown, followed by GSEA/KEGG enrichment to identify relevant pathways. Drug sensitivity and Mendelian randomization analyses explored therapeutic implications and gut microbiota-related HCC risk modulation..
Results:
Machine learning identified NAP1L4 as a pivotal SRG, with the SRG score-based nomogram strongly associated with poor overall survival. High NAP1L4 expression in HCC was confirmed by multi-omics and clinical samples. NAP1L4 knockdown in HCCLM3 cells significantly inhibited proliferation and migration. RNA-seq revealed 129 upregulated and 101 downregulated genes post-knockdown, with GSEA/KEGG highlighting the NOD-like receptor pathway as critical for NAP1L4-mediated HCC effects. Elevated NAP1L4 correlated with adverse prognosis and tumor microenvironment alterations (increased M0 macrophages and regulatory T cells). Reduced NAP1L4 expression enhanced sensitivity to cisplatin and axitinib. Mendelian randomization showed ANGPT1 modulates HCC risk by increasing gut Faecalitalea cylindroides abundance..
Conclusion:
SRGs, particularly NAP1L4, play critical roles in HCC progression. High NAP1L4 expression associates with poor prognosis, tumor microenvironment remodeling, and altered drug sensitivity. These findings support SRGs as potential prognostic biomarkers and therapeutic targets to enhance HCC treatment efficacy.
Insights
Senescence-related genes (SRGs), especially NAP1L4, are crucial in hepatocellular carcinoma (HCC) progression. High NAP1L4 expression indicates a poor prognosis and influences treatment sensitivity, highlighting SRGs as potential biomarkers and therapeutic targets for HCC.
Area of Science:
- Oncology
- Genetics
- Biomarkers
Background:
- Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality worldwide.
- Current treatments offer limited prognostic improvement, necessitating novel biomarkers.
- Senescence-related genes (SRGs) show promise for HCC prognostic stratification.
Purpose of the Study:
- To identify key SRGs associated with HCC survival using machine learning.
- To develop and validate a prognostic nomogram based on SRG scores.
- To investigate the role of NAP1L4 in HCC progression and therapeutic response.
Main Methods:
- Machine learning applied to screen SRGs and identify prognostic markers.
- Construction and validation of a clinical nomogram based on SRG scores.
- In vitro experiments (cell knockdown, RNA-seq, GSEA/KEGG) and database analyses (GEPIA2.0, UALCAN, HPA) to study NAP1L4 function and pathways.
- Drug sensitivity and Mendelian randomization analyses for therapeutic and etiological insights.
Main Results:
- NAP1L4 identified as a pivotal SRG; high expression correlates with poor overall survival.
- NAP1L4 knockdown inhibited HCC cell proliferation and migration.
- NOD-like receptor pathway implicated in NAP1L4-mediated HCC effects.
- Elevated NAP1L4 associated with adverse prognosis, altered tumor microenvironment, and differential drug sensitivity (cisplatin, axitinib).
Conclusions:
- SRGs, particularly NAP1L4, are critical in HCC progression.
- High NAP1L4 expression serves as a prognostic biomarker for HCC.
- NAP1L4 influences tumor microenvironment and drug sensitivity, suggesting its potential as a therapeutic target.
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