Login / Signup

Distinct epigenetic landscapes underlie the pathobiology of pancreatic cancer subtypes.

Gwen L LomberkYuna BlumRemy NicolleAsha NairKrutika Satish GaonkarLaetitia MarisaAngela MathisonZhifu SunHuihuang YanNabila ElarouciLucile ArmenoultMira AyadiTamas OrdogJeong-Heon LeeGavin OliverEric KleeVincent MoutardierOdile GayetBenjamin BianPauline DuconseilMarine GilabertMartin BigonnetStephane GarciaOlivier TurriniJean-Robert DelperoMarc GiovanniniPhilippe GrandvalMohamed GasmiVeronique SecqAurélien De ReynièsNelson DusettiJuan IovannaRaul A Urrutia
Published in: Nature communications (2018)
Recent studies have offered ample insight into genome-wide expression patterns to define pancreatic ductal adenocarcinoma (PDAC) subtypes, although there remains a lack of knowledge regarding the underlying epigenomics of PDAC. Here we perform multi-parametric integrative analyses of chromatin immunoprecipitation-sequencing (ChIP-seq) on multiple histone modifications, RNA-sequencing (RNA-seq), and DNA methylation to define epigenomic landscapes for PDAC subtypes, which can predict their relative aggressiveness and survival. Moreover, we describe the state of promoters, enhancers, super-enhancers, euchromatic, and heterochromatic regions for each subtype. Further analyses indicate that the distinct epigenomic landscapes are regulated by different membrane-to-nucleus pathways. Inactivation of a basal-specific super-enhancer associated pathway reveals the existence of plasticity between subtypes. Thus, our study provides new insight into the epigenetic landscapes associated with the heterogeneity of PDAC, thereby increasing our mechanistic understanding of this disease, as well as offering potential new markers and therapeutic targets.
Keyphrases
  • dna methylation
  • single cell
  • genome wide
  • rna seq
  • gene expression
  • high throughput
  • copy number
  • poor prognosis
  • healthcare
  • binding protein
  • dna damage
  • network analysis
  • long non coding rna