AUTHOR=Lu Yanjiao , Chen Jinkun , Tang Kun , Wang Shanshan , Tian Zhen , Wang Meijia , Zhao Jianping , Xie Jungang 

TITLE=Development and Validation of the Prognostic Index Based on Inflammation-Related Gene Analysis in Idiopathic Pulmonary Fibrosis

JOURNAL=Frontiers in Molecular Biosciences

VOLUME=Volume 8 - 2021

YEAR=2021

URL=https://www.frontiersin.org/journals/molecular-biosciences/articles/10.3389/fmolb.2021.667459

DOI=10.3389/fmolb.2021.667459

ISSN=2296-889X

ABSTRACT=Background: Historically, idiopathic pulmonary fibrosis (IPF) was considered a chronic inflammation disorder, but this conception was reassessed in past decades. Our understanding of the role of inflammation in IPF and its association with clinical significance remained incomplete.
Methods: We downloaded mRNA expression data of peripheral blood mononuclear cells (PBMCs) from the Gene Expression Omnibus (GEO) repository. Inflammation-related genes (IRGs) expressed differently between IPF and control (CTRL) were determined. In this study, we systemically analyzed the expression of differently expressed IRGs by comprehensive bioinformatics analysis, then investigated their potential prognostic values. The related prognostic gene expressions were verified in our cohort.
Results: 110 differently expressed IRGs were identified in this study, including 64 up-regulated and 46 down-regulated IRGs. Three IRGs (S100A12, CCR7, TNFSF4) were identified as potential hub genes for prognosis. Those genes were subsequently subjected to the construction of the prognostic models. In the results, IPF patients categorized as high-risks demonstrated poor overall survival rates compared to those of patients categorized as low-risks. Based on this prognostic model, the area under the curve (AUC) of the survival-dependent receiver operator characteristic (ROC) for 1-year, 2-year, and 3-year survival rates were 0.611, 0.695, and 0.681 respectively in the GSE28042 cohort. These observations were validated in the GSE27957 cohort, confirming the good prognostic effect of this model. The expression of the three genes was validated in our cohort. We also conducted a nomogram based on three IRGs mRNA for quantitative IPF prognosis.  
Conclusions: Three IRGs (S100A12, CCR7, TNFSF4) were identified as potential markers for the prognosis of IPF. 

Keywords: idiopathic pulmonary fibrosis; inflammation; prognosis