Prognostic and onco-immunological value of immune-related eRNAs-driven genes in lung adenocarcinoma.

ABSTRACT:

Background

We aimed to comprehensively analyze the clinical value of immune-related eRNAs-driven genes in lung adenocarcinoma (LUAD) and find the potential biomarkers for prognosis and therapeutic response to improve the survival of this malignant disease.

Materials and methods

Pearson's correlation analysis was performed to identify the immune-related eRNAs-driven genes. Cox regression and least absolute shrinkage and selection operator (LASSO) analyses were used to construct this prognostic risk signature. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were used to investigate the underlying molecular mechanism. The single sample gene set enrichment analysis (ssGSEA) algorithm was conducted to evaluate the immune status based on the

SUBMITTER: Wu X 

PROVIDER: S-EPMC11008071 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature