Establishment of a Prognostic Model Using Immune-Related Genes in Patients With Hepatocellular Carcinoma

Frontiers in Genetics
Wen-Jie WangZhi-Liang Ding

Abstract

Hepatocellular carcinoma (HCC) is one of the most prevalent neoplasms worldwide, particularly in China. Immune-related genes (IRGs) and immune infiltrating lymphocytes play specific roles in tumor growth. Considering how important immunotherapy has become for HCC treatment in the past decade, our objective was to establish a prognostic model by screening survival-related IRGs in patients with HCC. Using edgeR, we identified differentially expressed IRGs (DEIRGs), DEmiRNAs, and DElncRNAs. Functional enrichment analysis of DEIRGs was performed to investigate the biological functions of IRGs via gene ontology annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Protein-protein interaction and competing endogenous RNA networks were established using Cytoscape. Survival-associated IRGs were selected via univariate COX regression analysis, a The Cancer Genome Atlas (TCGA) prognostic model and GSE76427 validation model were developed using multivariate COX regression analysis test by AIC (Akaike Information Criterion). We identified 116 DEIRGs in patients with HCC; the "cytokine-cytokine receptor interaction" pathway was found to be the most enriched pathway. Via the prognostic model helped us classify patie...Continue Reading

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Methods Mentioned

BETA
PCR

Software Mentioned

Search Tool for the
Perl
Cytoscape
GraphPad Prism
R
Tumor Immune Estimation Resource ( TIMER )
edgeR
Immunology Database and Analysis Portal
survival
gplots

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