Figure 4: The CRC intrinsic signature (CRIS) enables concordant clustering of patient tumour samples regardless of region-of-origin. | Nature Communications

Figure 4: The CRC intrinsic signature (CRIS) enables concordant clustering of patient tumour samples regardless of region-of-origin.

From: Cancer-cell intrinsic gene expression signatures overcome intratumoural heterogeneity bias in colorectal cancer patient classification

Figure 4

(a) Median expression of all probesets annotated to the genes according to the cell-specific source of the transcripts in the CRIS signature using epithelial, fibroblast, endothelial, and leukocyte populations isolated by FACS (GSE39396). (b) DIANA clustering of CT and IF patient samples based on the gene expression of the CRIS signature. (c) Table of concordantly clustered patient samples (as in Fig. 1d) now including the CRIS signature. (d) Hierarchical clustering of our extended patient cohort, including CT, IF and LN tumour tissue, based on semi-supervised expression profiles of CRIS signature genes. Top overlay bar indicates patients, bottom overlay bar indicated region-of-origin. (e) Table of concordantly clustered patient samples using either the CMS Random-forest (RF) classifier or the CRIS Nearest Template Predictor (NTP) classifier. (f) Caleydo (StratomeX) graphical representation of the highest predicted CMS score (CMS1-4, UNK=Unknown assignment) and CRIS subtype (CRIS-A-E) for each sample according to region-of-origin. Concordant subtype assignment of samples is indicated by orange coloured linker, discordant subtype assignment of samples is indicated by grey coloured linker.

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