Integrative analysis of lung molecular signatures reveals key drivers of idiopathic pulmonary fibrosis.

ABSTRACT:

Background

Idiopathic pulmonary fibrosis (IPF) is a devastating disease with a high clinical burden. The molecular signatures of IPF were analyzed to distinguish molecular subgroups and identify key driver genes and therapeutic targets.

Methods

Thirteen datasets of lung tissue transcriptomics including 585 IPF patients and 362 normal controls were obtained from the databases and subjected to filtration of differentially expressed genes (DEGs). A functional enrichment analysis, agglomerative hierarchical clustering, network-based key driver analysis, and diffusion scoring were performed, and the association of enriched pathways and clinical parameters was evaluated.

Results

A total of 2,967 upregulated DEGs was filtered during the comparison of gene expression profiles

SUBMITTER: Kim SK 

PROVIDER: S-EPMC8650281 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature