RelB acts as a molecular switch driving chronic inflammation in glioblastoma multiforme

a Workflow of CytoAnalysis to establish inflammatory signature of GBM patients (TCGA, n？=？208). For each cytokine and cytokine receptor gene, the mean Z-score normalized expression values were used to group patients into high and low expressors. Kaplan–Meier analysis was performed yielding a p-value indicating the prognostic relationship between each gene and survival. These p-values were used to rank cytokines and cytokine receptors as indicators of poor prognosis. A combined prognostic score was then generated for each cytokine and its receptor. b Inflammatory signature (combined rank score) of GBM tumors determined by CytoAnalysis. c, d Kaplan–Meier analysis for individual cytokines and their receptors. Patients were annotated as high and low expressors using the mean Z-score expression level as a cutoff. Statistical significance was assessed using the Cox-proportional hazards model, *p？<？0.05. e Pearson correlation of IL-1β and OSM mRNA expression scores for GBM patients (TCGA, n？=？208). Normalized Z-score expression values were downloaded and Pearson correlation was conducted using cBioPortal. Both p-value and regression analysis was performed using the ‘lm’ function in the core R statistical package. f Genome-wide gene rank of Pearson correlation with IL1B. Gene expression correlations were performed using cBioPortal. g Kaplan–Meier survival analysis of patients expressing either high or low levels of both IL-1β and OSM, analyzed as in c. *p？<？0.05. h Patient subtype was downloaded using clinical expression information contained within TCGA (n？=？206). *p？<？0.05; One-way ANOV