Stage-Specific Transcriptome Landscape of Hepatocellular Carcinoma: Insights From Super and Poor Survivors With Prognostic Signature Identification
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View abstract on PubMed
Summary
This summary is machine-generated.A novel 19-gene signature accurately predicts survival in hepatocellular carcinoma (HCC) patients by analyzing transcriptomic differences between super and poor survivors. This signature aids in personalized prognosis for HCC.
Area Of Science
- Oncology
- Genomics
- Transcriptomics
Background
- Hepatocellular carcinoma (HCC) prognosis varies widely, even within the same clinical stage.
- Identifying molecular markers for patient survival is crucial for personalized treatment.
Purpose Of The Study
- To characterize the stage-specific transcriptomic landscape in HCC super survivors.
- To develop a prognostic gene signature for predicting HCC patient survival.
Main Methods
- Analysis of The Cancer Genome Atlas (TCGA) data from HCC patients.
- Gene set enrichment analysis stratified by tumor stage.
- Development and validation of a 19-gene signature using TCGA and International Cancer Genome Consortium (ICGC) cohorts.
Main Results
- Stage-specific transcriptomic differences were observed in immune response, catabolic activities, and glycolysis.
- Super survivors exhibited less active cell cycle processes across all stages.
- The 19-gene signature achieved 90.8% accuracy in distinguishing super from poor survivors and showed reliable survival prediction in validation cohorts.
Conclusions
- A 19-gene signature, reflecting dynamic shifts during HCC progression, can accurately predict patient survival.
- This signature holds potential as a tool for personalized prognosis in HCC.
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