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Fig. 5 | Journal of Translational Medicine

Fig. 5

From: Identification of blood-based key biomarker and immune infiltration in Immunoglobulin A nephropathy by comprehensive bioinformatics analysis and a cohort validation

Fig. 5

Validation of the expression pattern and evaluation of diagnostic efficacy of 6 clinical correlated genes using the GEO datasets. A In the dataset of GSE73953, significantly upregulated genes are ORMDL2, NRP1 and COL4A1, and significantly downregulated genes are ST13, HSPA8 and PKP4. According to the ROC curves, the highest area under curve (AUC) could be observed using the gene ORMDL2, NRP1, HSPA8 and PKP4. B In the dataset of GSE93798, the same results were found on significantly upregulated and downregulated genes as that in GSE73953. According to the ROC curves, the highest AUC could be observed using the gene COL4A1. C In the dataset of GSE37460, significantly upregulated genes are ORMDL2, NRP1 and COL4A1, and significantly downregulated genes are ST13 and PKP4. According to the ROC curves, the highest AUC could be observed using the gene NRP1 and COL4A1

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