Identification and validation of autophagy-related gene expression for predicting prognosis in patients with idiopathic pulmonary fibrosis.

ABSTRACT:

Background

Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive, and fatal fibrotic pulmonary disease with unknow etiology. Owing to lack of reliable prognostic biomarkers and effective treatment measures, patients with IPF usually exhibit poor prognosis. The aim of this study is to establish a risk score prognostic model for predicting the prognosis of patients with IPF based on autophagy-related genes.

Methods

The GSE70866 dataset was obtained from the gene expression omnibus (GEO) database. The autophagy-related genes were collected from the Molecular Signatures Database (MSigDB). Gene enrichment analysis for differentially expressed genes (DEGs) was performed to explore the function of DEGs. Univariate, least absolute shrinkage and selection operator (LASSO), as

SUBMITTER: Huang G 

PROVIDER: S-EPMC9533718 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature