Exploring Cuproptosis-Related Prognostic Signature for Hepatocellular Carcinoma: Bioinformatics and In Vitro Analyses
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View abstract on PubMed
Summary
This summary is machine-generated.This study developed a prognostic model for hepatocellular carcinoma (HCC) using cuproptosis-related genes (CRGs). The model accurately predicts patient survival and offers insights into HCC progression.
Area Of Science
- Oncology
- Molecular Biology
- Cancer Research
Background
- Hepatocellular carcinoma (HCC) is a common cancer with a poor prognosis.
- Cuproptosis, a novel cell death pathway, shows promise in cancer prognostics, but its role in HCC is unclear.
Purpose Of The Study
- To establish and validate a prognostic model for HCC based on cuproptosis-related genes (CRGs).
- To explore the relationship between CRGs, immune infiltration, and underlying molecular mechanisms in HCC.
- To investigate the functional role of key CRGs in HCC progression.
Main Methods
- Identified differentially expressed CRGs and constructed a prognostic model using Cox regression analysis.
- Evaluated model performance with Kaplan-Meier curves and ROC analysis.
- Assessed immune infiltration, conducted Gene Set Enrichment Analysis (GSEA), and performed in vitro experiments.
Main Results
- Developed a three-gene (AACS, ABCB6, CKAP2) prognostic model for HCC with high predictive accuracy and independence.
- The model correlated with immune cell infiltration and enriched pathways like cell cycle and DNA replication.
- In vitro studies confirmed AACS promotes HCC cell proliferation, invasion, and migration.
Conclusions
- A validated CRG-based prognostic model for HCC was established, showing significant predictive effectiveness.
- Findings deepen the understanding of CRGs in HCC and support their use in prognostic prediction.
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