Fig. 5

Gene identification by using three bioinformatics methods and their expression profiles in multiple cancers and autoimmune diseases and their correlation with immune cell markers in BRCA and SLE. A Schematic plot of the combination with three bioinformatics tools. B The mRNA levels of STAT1, OAS1, OASL, and PML from the combined IDC (left panel) and SLE (right panel) datasets in this study. C Bar plots from GEPIA database with the gene expression profile (OAS1, OASL, PML, and STAT1) across multiple types of tumor samples and paired normal tissues. The height of bar represented the median expression of certain tumor type or normal tissue, and the horizontal axis indicated tumor names. D The heatmap from ADEx database indicating the values of fold change of OAS1, OASL, PML, and STAT1 between multiple types of autoimmune diseases and paired normal individuals. E and F The heatmaps represent the Spearman’s correlation coefficients (R²) between DEGs expressions (OAS1, OASL, PML, and STAT1) and multiple immune cell marker genes (the encoded protein by the gene) in BRCA tumor (E) or SLE (F). The Spearman’s correlation coefficients (R²) were labeled at nodes of every two genes in heatmaps