HCCaging

Biomarker

1 paper2 findings

  • In silico1

Effects

1

Accuracy in distinguishing tumor from non-tumor samples

upin silico1

1 study
  1. HCCaging improves accuracy in distinguishing tumor from non-tumor samples in silico.

    “Machine learning models, including gradient boosting machines and random forests, achieved higher accuracy in distinguishing tumor from non-tumor samples using the HCCaging score compared with other 13 aging- or senescence-gene sets”

    In silicoin 8 independent HCC cohorts

    HCCaging: a liver physiological aging-related biomarker for hepatocellular carcinoma diagnosis based on transcriptome data

    npj aging6 Apr 2026

Upstream

1

Chronological age

upin silico1

1 study
  1. chronological age increases HCCaging in silico.

    “The HCCaging score increased with chronological age, was higher in normal liver than tumor tissues, and elevated in early- versus late-stage tumors.”

    In silicoin HCC cohortsliver

    HCCaging: a liver physiological aging-related biomarker for hepatocellular carcinoma diagnosis based on transcriptome data

    npj aging6 Apr 2026

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