Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm
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View abstract on PubMed
Summary
This summary is machine-generated.Circadian rhythm disruption (CRD) in hepatocellular carcinoma (HCC) defines three subtypes. Higher CRD scores correlate with worse prognosis, enabling personalized treatment strategies for HCC patients.
Area Of Science
- Oncology
- Chronobiology
- Genomics
Background
- Circadian rhythm disruption (CRD) is linked to poor prognosis in hepatocellular carcinoma (HCC).
- The underlying mechanisms of CRD in HCC remain largely undefined.
- Understanding HCC heterogeneity based on CRD is crucial for improving patient outcomes.
Purpose Of The Study
- To classify hepatocellular carcinoma (HCC) subtypes based on circadian rhythm disruption (CRD).
- To explore the molecular and clinical heterogeneity among these defined HCC subtypes.
- To identify potential biomarkers for predicting prognosis in HCC patients with CRD.
Main Methods
- Developed the HCC CRD score (HCCcrds) to quantify circadian rhythm disruption.
- Utilized machine learning to identify CRD module genes and define HCC subtypes.
- Applied bioinformatics to analyze cellular heterogeneity across identified CRD-related HCC subtypes.
Main Results
- Identified three distinct HCC subtypes with significant prognostic heterogeneity.
- High HCCcrds subtypes showed worse prognosis, higher pathological grade, and advanced stages.
- Low HCCcrds subtypes demonstrated better clinical outcomes, with novel biomarkers identified.
Conclusions
- Classified HCC patients into three distinct circadian rhythm-based groups with unique biomarkers.
- Established a correlation between higher HCCcrds and worse prognosis within these subtypes.
- Proposed a novel approach for improved HCC prognosis prediction and precision treatment guidance.
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