Prognostic model for predicting recurrence-free survival in hepatocellular carcinoma using integrated analysis of single-cell RNA-sequencing and bulk RNA-sequencing.

ABSTRACT: Globally, primary liver cancer ranks as the sixth most prevalent cancer and was the third leading cause of cancer-related deaths in 2022. Hepatocellular carcinoma (HCC) accounts for 75-85% of all cases. In total, ~70% of patients with HCC experience recurrence within 5 years, which impacts their long-term survival outcomes. Therefore, the development of a reliable predictive model for the probability of HCC recurrence represents a crucial clinical need. However, studies that integrate bulk RNA sequencing (RNA-seq) and single-cell (sc)RNA-seq to construct prognostic models are lacking. The present study analyzed bulk RNA-seq and scRNA-seq datasets of patients with HCC to identify differentially expressed genes (DEGs) that affect HCC recurrence-free survival (RFS). Subsequently, least absolu

SUBMITTER: Yang W 

PROVIDER: S-EPMC12485595 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature