Identification of three hub genes related to the prognosis of idiopathic pulmonary fibrosis using bioinformatics analysis.

ABSTRACT: Background: Idiopathic pulmonary fibrosis (IPF) is a chronic respiratory disease characterized by peripheral distribution of bilateral pulmonary fibrosis that is more pronounced at the base. IPF has a short median survival time and a poor prognosis. Therefore, it is necessary to identify effective prognostic indicators to guide the treatment of patients with IPF. Methods: We downloaded microarray data of bronchoalveolar lavage cells from the Gene Expression Omnibus (GEO), containing 176 IPF patients and 20 controls. The top 5,000 genes in the median absolute deviation were classified into different color modules using weighted gene co-expression network analysis (WGCNA), and the modules significantly associated with both survival time and survival status were identified as pr

SUBMITTER: Wang E 

PROVIDER: S-EPMC9413564 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature