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January 25, 2026

Comprehensive Analysis of Ferroptosis-related Genes in LiverCancer: Implications for Prognosis and Therapy

Puntos clave

The research aims to explore the prognostic significance of ferroptosis-related genes in hepatocellular carcinoma.
Implemented bioinformatics techniques including differential expression and enrichment analysis.
Conducted immune cell infiltration analysis to assess immune microenvironment changes.
Used consensus clustering to categorize patients into prognostically distinct subgroups.
Applied Cox regression analysis to identify key genes associated with prognosis.
Identified 886 differentially expressed genes, with 35 related to ferroptosis.
Highlighted significant changes in the immune landscape involving Tregs, Th17 cells, and mast cells.
Detected crucial genes like EZH2 and NDRG1 linked to poor prognosis (P < 0.001).
Achieved an AUC of 0.78 for risk prediction based on these genes.
Divided patients into two survival subgroups with significant differences (log-rank P < 0.001).

Resumen

Introduction: This study aimed to investigate the role and prognostic significance of ferroptosis-related genes in hepatocellular carcinoma (HCC), with the goal of identifying potential biomarkers and therapeutic targets to improve early diagnosis and develop personalized treatment strategies for HCC. Methods: Various bioinformatics techniques were employed, including differential expression analysis, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, consensus clustering, and Cox regression analysis Results: A total of 886 differentially expressed genes (DEGs) were identified, 35 of which were associated with ferroptosis. Immune cell infiltration analysis revealed significant alterations in the immune microenvironment, particularly involving regulatory T cells (Tregs), Th17 cells, and mast cells. The ferroptosis gene interaction network identified key genes, including EZH2 and NDRG1, with high connectivity, suggesting their critical roles in HCC. The Cox regression model demonstrated genes, such as EZH2, KIF20A, NDRG1, PPARG, KIF20A and MAPKAPK2, to be associated with poorer prognosis (P < 0.001), with an area under the curve (AUC) of 0.78 for risk prediction. Consensus clustering divided patients into two subgroups with significant survival differences (log-rank P < 0.001). Discussion: The findings underscored the crucial involvement of ferroptosis-related genes in the pathogenesis and progression of HCC. Key genes, such as EZH2 and NDRG1, appeared to influence both tumor biology and immune landscape, offering insights into mechanisms of tumor immune evasion and therapy resistance. While the study provided a robust computational framework, experimental validation is needed to confirm these observations and assess their translational potential. Conclusion: This study has highlighted the potential role of ferroptosis-related genes in hepatocellular carcinoma and identified EZH2, KIF20A, NDRG1, PPARG, KIF20A and MAPKAPK2 as key factors associated with poor prognosis.

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Cite This Study

Wang et al. (Tue,) studied this question.

synapsesocial.com/papers/6975b1cefeba4585c2d6d3c7 https://doi.org/https://doi.org/10.2174/0115665240382155251126080335

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