A prognostic model based on clusters of molecules related to epithelial-mesenchymal transition for idiopathic pulmonary fibrosis.

ABSTRACT: Background: Most patients with idiopathic pulmonary fibrosis (IPF) have poor prognosis; Effective predictive models for these patients are currently lacking. Epithelial-mesenchymal transition (EMT) often occurs during idiopathic pulmonary fibrosis development, and is closely related to multiple pathways and biological processes. It is thus necessary for clinicians to find prognostic biomarkers with high accuracy and specificity from the perspective of Epithelial-mesenchymal transition. Methods: Data were obtained from the Gene Expression Omnibus database. Using consensus clustering, patients were grouped based on Epithelial-mesenchymal transition-related genes. Next, functional enrichment analysis was performed on the results of consensus clustering using gene set variation a

SUBMITTER: Zhao J 

PROVIDER: S-EPMC9853015 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature