Signature construction and molecular subtype identification based on immune-related genes for better prediction of prognosis in hepatocellular carcinoma.

ABSTRACT:

Objective

Hepatocellular carcinoma (HCC) immunotherapy is a focus of current research. We established a model that can effectively predict the prognosis and efficacy of HCC immunotherapy by analyzing the immune genes of HCC.

Methods

Through the data mining of hepatocellular carcinoma in The Cancer Genome Atlas (TCGA), the immune genes with differences in tumor and normal tissues are screened, and then the univariate regression analysis is carried out to screen the immune genes with differences related to prognosis. The prognosis model of immune related genes is constructed by using the minimum absolute contraction and selection operator (lasso) Cox regression model in the TCGA training set data, The risk score of each sample was calculated, and the survival was compared with

SUBMITTER: Sun L 

PROVIDER: S-EPMC10265900 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature