Fig. 5
EGFR and DCX levels discriminate GBM patients’ subtype and survival. A Classification tree from recursive portioning tree analysis reporting the splitting variables between branches along with their optimal cut-offs in terms of log2 expression. The final leaves (in orange) report the percentages of each tissue classes (within the leaf) and the percentage of the total number of tissues that fall in this leaf (between leaves). B Plot depicting how patient’s tissues are classified into the three classes (final leaves of the classification tree). C DCX and EGFR differential protein expression analysis from [53] dataset across GBM subtypes. The visualization of proteins abundance is reported as box plots with median ± IQR. ***P < 0.001, ** P < 0.01, * P < 0.05, Mann–Whitney U test, two-tailed. D Kaplan–Meier curves of overall survival showing that, according to our dataset, GBM patients with an EGFRHigh-DCXLow profile (blue line) died earlier than those with EGFRLow-DCXHigh and EGFRLow-DCXLow fingerprint (green and red lines, respectively). Mantel-Cox and Breslow-Wilcoxon test, log-rank P-value = 0.033 and P-value = 0.022, respectively. E Kaplan–Meier plot of overall survival showing that classical (n = 42; blue line) GBM patients survived longer than mesenchymal (n = 28; red line) and proneural (n = 13; green line) ones. Mantel-Cox and Breslow-Wilcoxon test, log-rank P-value = 0.047 and P-value = 0.017, respectively