Multiple-omics analysis of aggrephagy-related cellular patterns and development of an aggrephagy-related signature for hepatocellular carcinoma.

ABSTRACT:

Background

Protein aggrephagy, a selected autophagy process response for degrading protein aggregates, plays a critical role in various cancers. However, its regulatory mechanisms and clinical implications in hepatocellular carcinoma (HCC) remain largely unexplored.

Methods

We integrated bulk RNA-seq data from TCGA and single-cell RNA sequencing (scRNA-seq) data from GEO databases to systematically analyze aggrephagy-related genes (AGGRGs) in HCC. Prognostic aggrephagy-related genes (AGGRGs) were identified through univariate Cox and LASSO regression analyses, followed by the construction of a risk prediction model. Patients were stratified into high- and low-risk groups based on the median risk score. Comparative analyses were performed to assess clinical outcomes, pathway

SUBMITTER: Xie J 

PROVIDER: S-EPMC12044776 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature