Estimation of hub genes and exploration of multi-omics level alterations in the landscape of lung adenocarcinoma.

ABSTRACT:

Objectives

Lung adenocarcinoma (LUAD) is recognized as one of the most prevalent and deadliest malignancies around the globe. The molecular mechanisms behind LUAD have not been fully elucidated. This study was launched to explore LUAD-associated hub genes and their enriched pathways using bioinformatics methods.

Methods

Information on GSE10072 was retrieved from the Gene Expression Omnibus (GEO) database and analyzed via the Limma package-based GEO2R tool to obtain the top 100 differentially expressed genes (DEGs) in LUAD. The protein-protein interaction (PPI) network of the DEGs was drawn using the STRING website and was shifted into Cytoscape to screen the top 6 hub genes via the CytoHubba application. Furthermore, the expression analysis and validation of hub genes in LUA

SUBMITTER: Li G 

PROVIDER: S-EPMC10086869 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature