Fig. 3

Construction of a prognostic model based on the TIME classification. A Volcano map to explore the differentially expressed genes between Cluster 1 and Cluster 3 groups. There were 489 highly expressed genes in Cluster 1 (red), and 588 highly expressed genes in Cluster 3 (blue). B Analysis of differentially expressed genes related to prognosis. The large circle represented 3326 genes that had an impact on the prognosis of AML, the small circle represented 1077 genes that were differentially expressed in Cluster 1 and Cluster 3, and the middle cross was 366 differentially expressed genes related to the prognosis. C Using 366 differentially expressed genes for GO annotation, it was found that differentially expressed genes were mainly enriched in the following pathways: leukocyte migration, regulation of immune system process, regulation of immune response, defense response, inflammatory response, translational initiation, nuclear-transcribed mRNA catabolic process, nonsense-mediated decay, negative regulation of gene expression, protein C-terminus binding, and cytosolic small ribosomal subunit. D Lasso regression analysis was used to construct a prognostic model containing 121 genes. TIME, the tumor immune microenvironment