Impact of single-cell cell cycle regulation of intercellular communication on the prognosis of hepatocellular carcinoma in the tumor microenvironment.

ABSTRACT: Despite the emergence of new therapies such as, immunotherapy, the treatment and diagnosis of Hepatocellular Carcinoma (HCC) still face many challenges, and the therapeutic outcomes for patients remain less than satisfactory. The study identified differentially expressed genes in HCC through differential analysis and then used univariate cox regression analysis to identify genes associated with prognosis. The intersection of these two sets of genes was used to obtain differentially expressed prognostic genes in HCC, which were then subjected to enrichment analysis. We analyzed two single-cell RNA sequencing (scRNA-seq) datasets from HCC patients, comprising 24,637 cells. Non-negative Matrix Factorization (NMF) clustering was used to identify cell cycle regulation in HCC tumor microenvironm

SUBMITTER: Hu C 

PROVIDER: S-EPMC12644129 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature