Tumour heterogeneity. (A) Sankey plot illustrating the variety of genetic features, under both coarse and finely granular descriptors, aligned to patient diagnosis. Only the most frequent links in our dataset are shown for readability. (B) Principal component analysis (PCA) of all tumour genetic data, which clusters individuals into patient groups reproducible of the diagnostic labels, colour-coded as per the key. (C) Principal component analysis of all tumour genetic data with patient survival projected onto the plot illustrates a qualitatively poor representation of clusters of individuals with systematically better or worse survival. (D) Minimum spanning tree of patients with edges weighted by the similarity between individual genetic tests appears to create a more richly structured representation of a tumour-genetic landscape, colour-coded as in the key in A. (E) Minimum spanning tree of patients with edges weighted by the similarity between individual genetic tests with survival projected onto the plot illustrates a clearly superior segregation of individuals with better or worse prognosis, colour-coded by survival as per C.