Predicting the prognosis of hepatocellular carcinoma based on genes related to polyamine metabolism.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) is a highly prevalent malignant tumor worldwide. Evidence showed that polyamine metabolism plays a crucial part in the regulation of cancer onset and development, however, its clinical significance in HCC remains unclear.

Methods

Bulk RNA sequencing (RNA-seq) and single-cell RNA sequencing (scRNA-seq) data of HCC were collected from public databases. Polyamine metabolism-related genes (PMRGs) were obtained from the MSigDB database. The molecular subtypes of HCC were classified by ConsensusClusterPlus package, and differentially expressed genes (DEGs) of the molecular subtypes were identified by the limma package, followed by enrichment analysis with clusterProfiler package. Univariate Cox and Lasso Cox regression analyses were perfor

SUBMITTER: Liu C 

PROVIDER: S-EPMC12462690 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature