Fig. 1
From: A pathway activity-based proteomic classifier stratifies prostate tumors into two subtypes
A Study design of the molecular classification for PCa. A total of 453 FFPE prostate tissue samples from 5 different ISUP grades and 214 benign samples were used for proteomic analysis. B The median protein abundance of each protein across all samples. C The Pearson correlation distribution of the quality control samples including the mouse liver (ML) samples and pool PCa samples. D–F PCA plots for 44 batches, including all samples (D), ML samples (E), and pool PCa samples (F). G Density plot for each PCa type. H–I Protein quantification between different ISUP grades (H) and sample types (I). J–K The number of proteins identified in the tumor and adjacent benign samples (J), and in the different ISUP grades (K). P-value: * < 0.05; ** < 0.01; *** < 0.001. T, tumor samples; N, adjacent benign samples