Ontology highlight
ABSTRACT: Background
Liver cancer is a leading cause of cancer-related deaths worldwide. Lysosomal dysfunction is implicated in cancer progression; however, prognostic prediction models based on lysosome-related genes (LRGs) are lacking in liver cancer. This study aimed to establish an LRG-based model to improve prognosis prediction and explore potential therapeutic targets in liver cancer.Methods
Expression profiles of 61 LRGs were analyzed in The Cancer Genome Atlas liver cancer cohorts. There were 14 LRGs identified, and their association with clinical outcomes was evaluated. Unsupervised clustering, Cox regression, and functional assays were performed.Results
Patients were classified into high-risk and low-risk subgroups based on the 14 LRGs. The high-risk group had signi
SUBMITTER: He KJ
PROVIDER: S-EPMC10535104 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature