Ontology highlight
ABSTRACT: Background
Hepatic fibrosis is a pathological response to chronic liver injury that results in accumulation of extracellular matrix proteins leading to fibrous scarring, which can further lead to hepatocellular carcinoma (HCC). Although several clinical approaches have been applied to the diagnosis and treatment of hepatic fibrosis and HCC, the clinical prognosis and precision of targeted therapies still face great challenges.Methods
In this study, we integrated multi-omics data to identify functional subpopulations of hepatic stellate cells (HSCs) closely associated with hepatic fibrosis and HCC. Based on this, differential genes derived from single-cell and bulk transcriptomic analyses were used to construct and validate a clinical prognostic model using 101 machine learn
SUBMITTER: You J
PROVIDER: S-EPMC12777048 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature