An immune-related gene signature for predicting survival and immunotherapy efficacy in hepatocellular carcinoma.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) ranks the fourth in terms of cancer-related mortality globally. Herein, in this research, we attempted to develop a novel immune-related gene signature that could predict survival and efficacy of immunotherapy for HCC patients.

Methods

The transcriptomic and clinical data of HCC samples were downloaded from The Cancer Genome Atlas (TCGA) and GSE14520 datasets, followed by acquiring immune-related genes from the ImmPort database. Afterwards, an immune-related gene-based prognostic index (IRGPI) was constructed using the Least Absolute Shrinkage and Selection Operator (LASSO) regression model. Kaplan-Meier survival curves as well as time-dependent receiver operating characteristic (ROC) curve were performed to evaluate its predictive c

SUBMITTER: Dai Y 

PROVIDER: S-EPMC10992402 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature