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ABSTRACT: Background
Gastric adenocarcinoma (GAD) is one of the most common tumors in the world and the prognosis is still very poor.Objective
We sought to identify reliable prognostic biomarkers for the progression of GAD and the sensitivity to drug therapy.Method
The RNA sequencing data of GAD was downloaded from the Cancer Genome Atlas (TCGA) database and used for analysis. Differentially expressed, immune-related lncRNA (DEIRlncRNA) was characterized by differential analysis and correlation analysis. Univariate Cox regression analysis was used to identify DEIRlncRNA associated with prognosis. Least absolute shrinkage and selection operator (LASSO) regression analysis allowed us to determine a signature composed of eight IRlncRNAs. Based on this signature, we further perfo
SUBMITTER: Zhao X
PROVIDER: S-EPMC9061059 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature