Fig. 3
From: Pathobionts in the tumour microbiota predict survival following resection for colorectal cancer
Metabolomic analysis of the colorectal cancer mucosa. a Principal components analysis of metabolomic data for tumour (blue) and paired normal tissue (red). b Cross-validated scores plot of the repeated measures partial least squares discriminant analysis model (goodness-of-fit R2Y = 0.95, goodness of prediction Q2Y = 0.89). Tumour represented in blue and paired normal tissue in red. c Skyline plot indicating metabolites which are significantly higher in tumour (upward blue arrows) or higher in paired normal mucosa (downward red arrows). The dotted horizontal lines indicate the cut-off for the PFDR at 5%. d Hierarchical clustering of metabolites. Fatty acids are grouped in SCFA, MCFA, LCFA and VLCFAs. e Paired comparison between tumour and paired normal mucosa samples for each identified metabolite cluster