Fig. 1

a Dendrogram obtained from unsupervised hierarchical clustering using Euclidean distance as similarity metrics and ward as linkage method. Each branch of the dendrogram is represented by the global gene expression profile of samples. The vertical axis indicates the Euclidean distance between samples/clusters. PR and REC of the same patient are represented with the same color. b Projection of principal components 1 and 3 after application of PCA on the paired samples cohort. Red squares correspond to primary samples while yellow squares to recurrences. c Unsupervised hierarchical clustering analysis of 315 significantly deregulated genes in REC vs PR tumors. A red-to-green gradient was used to indicate, for each gene, levels of up- or downregulation. The logFC values of the entire matrix used for hierarchical clustering are provided as Additional file 3: Table S2