PANoptosis-related genes in the prognosis and immune landscape of hepatocellular carcinoma
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View abstract on PubMed
Summary
This summary is machine-generated.This study identifies a six-gene PANoptosis-related gene (PRG) signature that predicts hepatocellular carcinoma (HCC) prognosis. This PRG signature, combined with clinical factors in a nomogram, improves prediction accuracy and reveals immune microenvironment differences in HCC patients.
Area Of Science
- Oncology
- Genetics
- Immunology
Background
- Hepatocellular carcinoma (HCC) prognosis is influenced by various factors, but the role of PANoptosis-related genes (PRGs) requires further investigation.
- Understanding the molecular mechanisms underlying PRGs in HCC is crucial for developing effective therapeutic strategies.
Purpose Of The Study
- To identify HCC subtypes associated with PANoptosis using consensus clustering.
- To develop and validate a predictive signature based on PRGs for HCC prognosis.
- To construct a nomogram integrating the PRG signature and clinicopathological features for enhanced clinical prediction.
Main Methods
- Consensus clustering analysis on TCGA-LIHC data to identify PANoptosis-related subtypes.
- Least absolute shrinkage and selection operator (LASSO) regression to establish a six-gene PRG signature.
- Validation using ICGC and TCGA-LIHC datasets; nomogram construction and evaluation.
Main Results
- A six-gene PRG signature was identified and validated, showing a strong correlation with HCC prognosis.
- The developed nomogram, combining the PRG signature and clinicopathological features, demonstrated superior predictive performance compared to existing models.
- Low-risk groups exhibited significantly higher ESTIMATE, Immune, and Stromal Scores, with distinct immune cell infiltration and gene expression patterns.
Conclusions
- The PRG signature serves as a potential prognostic biomarker in HCC.
- The nomogram offers a valuable tool for improving clinical prediction and guiding individualized therapy for HCC patients.
- The PRG signature is associated with the tumor immune microenvironment, suggesting implications for immunotherapy strategies.
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