Integrating single-cell and bulk RNA sequencing data to characterize the heterogeneity of glycan-lipid metabolism polarization in hepatocellular carcinoma.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) is high heterogeneity and remains an unmet medical challenge, but their metabolic heterogeneity has not been fully uncovered and required clinical applicable translational strategies.

Methods

By analyzing the RNA sequencing data in the in-house cohort and public HCC cohorts, we identified a metabolic subtype of HCC associated with multi-omics features and prognosis. Multi-omics alterations and clinicopathological information between different subtypes were analyzed. Gene signature, radiomics, contrast-enhanced ultrasound (CEUS), serum biomarkers were tested as potential surrogate methods for high throughput technology-based subtyping. Single-cell RNA sequencing analyses were employed to evaluate the immune characteristics changes bet

SUBMITTER: Lin P 

PROVIDER: S-EPMC11929990 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature