Machine learning algorithm to construct cuproptosis- and immune-related prognosis prediction model for colon cancer

Figure 2 Acquisition of cuproptosis-related and immune-related differentially expressed genes. A: Heatmap of differentially expressed genes in The Cancer Genome Atlas colon cancer patients compared with normal controls; B: Volcano plot of differentially expressed genes (DEGs), where blue represents downregulated genes and red represents upregulated genes; C: Four cuproptosis-related DEGs (CR-DEGs) were calculated by taking the intersection of DEGs (fold change > 1.2 and P.adjust < 0.05) and CRGs; D: DEGs with |log₂FC| > 1 and p.adjust < 0.05 were intersected with immune-related genes (IRGs) to obtain IR-DEGs; E: Result of univariate Cox regression analysis of CR-DEGs; F: The result of multivariate Cox regression analysis of CR-DEGs.