Fig. 5 | Scientific Reports

Fig. 5

From: Identification of immune patterns in idiopathic pulmonary fibrosis patients driven by PLA2G7-positive macrophages using an integrated machine learning survival framework

Fig. 5

Identification of a Robust Prognostic and Diagnostic Biomarker, PLA2G7, Using IRS. (A) Identification of differentially expressed genes in high-IRS patients. (B) Univariate cox regression analysis of differentially expressed genes to select prognostically relevant genes. (C) Calculation of ROC diagnostic capabilities for each gene in distinguishing IPF samples from healthy samples in different cohorts. (D) Differential expression of SPP1, MMP7, and PLA2G7 in healthy and IPF samples in the GSE70866 dataset. (E) Differential expression of SPP1, MMP7, and PLA2G7 in healthy and IPF samples in the GSE110147 dataset. (F) Differential expression of SPP1, MMP7, and PLA2G7 in healthy and IPF samples in the GSE10667 dataset. (G) Survival analysis of IPF patients with high and low PLA2G7 expression in the GSE70866 dataset. (H) The association between PLA2G7 gene expression levels and the abundance of immune cells.

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