Figure 1
From: Astrocytoma progression scoring system based on the WHO 2016 criteria
Development of the AP score and its prognostic value across cohorts. (a) An overview of the AP score algorithm. The AP score algorithm uses gene expression data to output the combined degree of positive and negative regulation of astrocytoma progression. (b) Heatmap depicting the Z-score expression values of the 18 genes in the training cohort. Columns represent each sample and are labelled with their clinical characteristics, and rows represent genes and are divided into two groups representing POS_AP and NEG_AP. (c) Kaplan-Meier survival analyses based on the median cutoff AP score in the training dataset. (d) Kaplan-Meier survival analyses based on the median cutoff AP score in the GSE16011 dataset. (e) Kaplan-Meier survival analyses based on the median cutoff AP score in the REMBRANDT dataset. (f) Kaplan-Meier survival analyses based on the median cutoff AP score in TCGA GBM dataset. Mutant: IDH1 mutant, WT: IDH1 wild type; NE: Neural, PN: Pro-neural, CL: Classical, ME: Mesenchymal.
