Identification of key genes and biological pathways in lung adenocarcinoma by integrated bioinformatics analysis.

ABSTRACT:

Background

The objectives of this study were to identify hub genes and biological pathways involved in lung adenocarcinoma (LUAD) via bioinformatics analysis, and investigate potential therapeutic targets.

Aim

To determine reliable prognostic biomarkers for early diagnosis and treatment of LUAD.

Methods

To identify potential therapeutic targets for LUAD, two microarray datasets derived from the Gene Expression Omnibus (GEO) database were analyzed, GSE3116959 and GSE118370. Differentially expressed genes (DEGs) in LUAD and normal tissues were identified using the GEO2R tool. The Hiplot database was then used to generate a volcanic map of the DEGs. Weighted gene co-expression network analysis was conducted to cluster the genes in GSE116959 and GSE118370 into diff

SUBMITTER: Zhang L 

PROVIDER: S-EPMC10450371 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature