Fig. 1

Gene set enrichment analysis (GSEA) in different PDAC cohorts and models. a Models used in this study. b Enrichment plots for the selected “Collisson QM” and “Bailey squamous GP2” assigner gene sets in our patient cohort. Both gene sets are enriched in here defined QM PDAC samples. FDR (false discovery rate) and NES (normalized enrichment score) presented in the figure. c GSEA analysis for QM vs classical groups was performed for cell lines (n = 8; 4QM, 4 classical), patient-derived cells (PDC; n = 11, 5 QM and 6 classical), patient-derived xenografts (PDX; n = 34, 12 QM and 22 classical), and patient PDAC samples (n = 204; 116 QM, 88 classical). Presented are NES values for selection of metabolic gene sets identified as enriched (NES > 1.3, FDR q-value < 0.07) in QM subtype. The gene set databases HALLMARK, REACTOME, and KEGG were used for analysis. Epithelial-to-mesenchymal transition (EMT), glycolysis/glucose metabolism, hypoxia, and MYC targets gene sets are commonly enriched in QM datasets. Red dots emphasize the metabolic pathways that are commonly enriched in the models presented here. Glycolysis enrichment plot for patient cohort (n = 204) presented