Expression of copper metabolism-related genes is associated with the tumor immune microenvironment and predicts the prognosis of hepatocellular carcinoma
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View abstract on PubMed
Summary
This summary is machine-generated.Copper metabolism-related genes (CMRGs) impact hepatocellular carcinoma (HCC) prognosis and immune microenvironment. A five-gene model predicts HCC patient outcomes, offering a novel indicator for treatment strategies.
Area Of Science
- Oncology
- Molecular Biology
- Immunology
Background
- Copper metabolism dysfunction is linked to malignant tumor progression.
- Understanding copper metabolism-related genes (CMRGs) in hepatocellular carcinoma (HCC) is crucial for prognosis.
Purpose Of The Study
- To explore the prognostic value of CMRGs in HCC.
- To investigate the impact of CMRGs on the tumor immune microenvironment (TIME).
Main Methods
- Differential expression analysis of CMRGs in HCC tissues using TCGA data.
- Consensus clustering to identify HCC subgroups.
- TIMER and CIBERSORT for TIME analysis.
- LASSO and Cox regression to build a prognostic risk model.
- GSEA for pathway enrichment and analysis of tumor mutation burden (TMB) and immune checkpoints.
Main Results
- Two distinct HCC subgroups with significantly different survival rates were identified.
- A five-gene prognostic risk model demonstrated significant predictive value for HCC prognosis.
- The model, when combined with clinical features, can predict patient outcomes.
- Functional enrichment analysis revealed distinct metabolic pathways and immune checkpoint gene expression between risk groups.
- The model was successfully validated using an independent ICGC dataset.
Conclusions
- CMRG expression is associated with HCC prognosis and the tumor microenvironment.
- CMRGs can serve as predictive indicators for HCC prognosis.
- The developed risk model offers a valuable tool for predicting HCC patient outcomes.
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