Fig. 3

Molecular classification of PDAC patients using PP2A-related genes in advanced disease (GSE62165 dataset). A Tumor samples were clustered based on PDAssign, EMT or PP2A gene sets (see Additional file 1: Table S1), each classifier resulted in two clusters. B Parallel alignment of samples using the different classifier. Advanced disease (PDAssign-high) samples are indicated in green. Using the corresponding EMT-high classification these same samples are marked in purple. The PP2A-high clustered samples are indicated in red. The PDAssign-low/EMT-low or PP2A-low samples are indicated in white. The GSE62165 dataset included 13 control normal pancreatic samples indicated with the black bars. C Spearman correlation of PP2A-related genes with molecular identified subgroup of PDAC patients with worse prognosis (PDAssign-high [43, 46]). D Receiver operating characteristic (ROC) analysis of the patient cohort. Patients were clustered into two groups using PDAssign 62 gene set. AUC (Area under the ROC Curve) for individual PP2A-related genes that cluster into PDAssign-high group was calculated based on gene expression with SE (standard error) and CI (confidence interval). E Graphic presentation of ROC-analysis for selected markers