Fig. 2

Consensus clustering and machine learning based on DRGs in Co-PCa: a Co-PCa patients were divided into two clusters via a consensus clustering algorithm. b Principal component analysis (PCA) showing the distribution of the two clusters. c Differences in PFS between the two clusters. d GSVA of biological pathways between the two clusters. e Differences in clinical information and DRG expression according to the heatmap. f Immune infiltration differences between the two clusters. g, h Random forest trees select the minimum set of genes. i Cox univariate analysis was used to screen 64 prognosis-related DEGs. j KEGG analysis of the biological pathways associated with the DEGs