Exploration of Prognostic Biomarkers for Lung Adenocarcinoma Through Bioinformatics Analysis.

ABSTRACT: With the development of computer technology, screening cancer biomarkers based on public databases has become a common research method. Here, an eight-gene prognostic model, which could be used to judge the prognosis of patients with lung adenocarcinoma (LUAD), was developed through bioinformatics methods. This study firstly used several gene datasets from GEO database to mine differentially expressed genes (DEGs) in LUAD tissue and healthy tissue via joint analysis. Later, enrichment analysis for the DEGs was performed, and it was found that the DEGs were mainly activated in pathways involved in extracellular matrix, cell adhesion, and leukocyte migration. Afterward, a TCGA cohort was used to perform univariate Cox, least absolute shrinkage and selection operator method, and multivariate

SUBMITTER: Tu Z 

PROVIDER: S-EPMC8100590 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature