Fig. 2
From: Distinct epigenetic landscapes underlie the pathobiology of pancreatic cancer subtypes
Epigenomic landscapes predict patient outcomes. a Chromatin state-based clustering using epigenetic regions associated with the second MCA component demonstrates two subtypes. Sample coordinates in this dimension and Student’s t-test p-value of the association with chromatin state-based clustering are indicated. b Clustering of RNA-seq and DNA methylation data into subtypes is shown by distinct colors and plotted according to chromatin state-based clustering from a. p-values of Fisher’s exact test demonstrate the association with chromatin state-based clustering. CIMP, CpG Island Methylator Phenotype calculated as the mean of island-CpG methylation level. c Prediction of PDAC subtypes using transcriptome-based publically available signatures12, 13. d Clinical characteristics of PDAC samples based on status of surgical resection and presence of liver metastasis at diagnosis and p-values of Fisher’s exact test are indicated to show the association of clinical data with the chromatin state-based clustering. e Hazard Ratio (log2) estimated by a Cox model to demonstrate risk of death is shown along the MCA dimension. Dots are colored according to the chromatin state-based sample subtypes as defined in a
