Hepatocellular carcinoma: An analysis of the expression status of stress granules and their prognostic value
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View abstract on PubMed
Summary
This summary is machine-generated.Seven stress granule (SG) genes impact hepatocellular carcinoma (HCC) patient survival. A new risk score model using these SG genes can improve HCC prognosis prediction and may offer novel therapeutic targets.
Area Of Science
- Oncology
- Molecular Biology
- Genetics
Background
- Hepatocellular carcinoma (HCC) is a prevalent and challenging malignancy with limited treatment options.
- Stress granules (SGs) are cellular structures implicated in various biological processes, but their role in HCC prognosis is not fully understood.
Purpose Of The Study
- To investigate the prognostic significance of stress granule (SG) genes in hepatocellular carcinoma (HCC).
- To develop a predictive model for overall survival (OS) and prognosis in HCC patients based on SG gene expression.
Main Methods
- Utilized integrated genomic and clinical data from TCGA-LIHC, GSE25097, and GSE36376 datasets.
- Employed Least Absolute Shrinkage and Selection Operator (LASSO) and multivariate Cox regression to identify prognostic SG genes and construct a risk score model.
- Validated the prognostic model using receiver operating characteristic (ROC) curves and nomograms for predicting 1, 3, and 5-year OS.
Main Results
- Identified seven key SG genes (DDX1, DKC1, BICC1, HNRNPUL1, CNOT6, DYRK3, CCDC124) with significant prognostic value in HCC.
- A high-risk score based on these genes was strongly associated with significantly reduced overall survival (P < 0.001).
- The developed nomogram model demonstrated enhanced accuracy in predicting OS for HCC patients.
Conclusions
- The identified seven SG genes serve as potential prognostic biomarkers for HCC.
- These SG genes may represent novel therapeutic targets for HCC treatment and patient stratification.
- Further research can leverage these findings for improved HCC management and personalized medicine approaches.
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