Identification and validation of novel signature associated with hepatocellular carcinoma prognosis using Single-cell and WGCNA analysis.

ABSTRACT: Background: Hepatocellular carcinoma is a rapidly advancing malignancy with a poor prognosis. Therefore, further research is needed on its potential pathogenesis and therapeutic targets. Methods: In this study, the relevant datasets were downloaded from the TCGA database and the key modules were identified using WGCNA in the necroptosis-related gene set, while single-cell datasets were scored using the necroptosis gene set. Differential genes in the high- and low-expression groups were determined using the WGCNA module genes as intersection sets to identify key genes involved in necroptosis in liver cancer. Then, prognostic models were constructed using LASSO COX regression followed by multi-faceted validation. Finally, model genes were found to be correlated with key protein

SUBMITTER: Song H 

PROVIDER: S-EPMC10266049 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature