A stratification model of hepatocellular carcinoma based on expression profiles of cells in the tumor microenvironment.

ABSTRACT:

Background

A malignancy of the liver, hepatocellular carcinoma (HCC) is among the most common and second-leading causes of cancer-related deaths worldwide. A reliable prognosis model for guidance in choosing HCC therapies has yet to be established.

Methods

A consensus clustering approach was used to determine the number of immune clusters in the Cancer Genome Atlas and Liver Cancer-RIKEN, JP (LIRI_JP) datasets. The differentially expressed genes (DEGs) among these groups were identified based on RNA sequencing data. Then, to identify hub genes among signature genes, a co-expression network was constructed. The prognostic value and clinical characteristics of the immune clusters were also explored. Finally, the potential key genes for the immune clusters were determined.

R

SUBMITTER: Zeng C 

PROVIDER: S-EPMC9167552 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature