Figure 7

A survival network based overview of inter-tumour mutation similarity and intra-tumour mutation heterogeneity. Gene set enrichment analysis (GSEA) is applied to the genes in the survival network for: cross-tumour mutation ubiquity (A), mutation frequency within a single tumour type (B), and mutation numbers in each individual patient (C). The top graph of (A) shows mutation ubiquity values (y-axis) for genes ranked from the highest to the lowest values (x-axis). Genes in the survival network are indicated by red lines. The graph below shows the running enrichment score and a peak (circled in blue) with a normalised enrichment score (NES) and P value. GSEA is also applied to analyse each of the 11 tumour types (B) and each of 3,096 individual patients (C). Each dot in (C) stands for an individual patient, with red for significant enrichment and green otherwise. Abbreviations for tumour types are the same as described in Figure5.