| Literature DB >> 32402285 |
Holly Brunton1, Giuseppina Caligiuri2, Richard Cunningham2, Rosie Upstill-Goddard2, Ulla-Maja Bailey1, Ian M Garner3, Craig Nourse4, Stephan Dreyer5, Marc Jones6, Kim Moran-Jones6, Derek W Wright7, Viola Paulus-Hock4, Colin Nixon4, Gemma Thomson4, Nigel B Jamieson5, Grant A McGregor4, Lisa Evers2, Colin J McKay5, Aditi Gulati8, Rachel Brough8, Ilirjana Bajrami8, Stephen J Pettitt8, Michele L Dziubinski9, Simon T Barry10, Robert Grützmann11, Robert Brown3, Edward Curry3, Marina Pajic12, Elizabeth A Musgrove2, Gloria M Petersen13, Emma Shanks4, Alan Ashworth14, Howard C Crawford9, Diane M Simeone15, Fieke E M Froeling16, Christopher J Lord8, Debabrata Mukhopadhyay17, Christian Pilarsky11, Sean E Grimmond18, Jennifer P Morton1, Owen J Sansom1, David K Chang19, Peter J Bailey20, Andrew V Biankin21.
Abstract
Pancreatic ductal adenocarcinoma (PDAC) can be divided into transcriptomic subtypes with two broad lineages referred to as classical (pancreatic) and squamous. We find that these two subtypes are driven by distinct metabolic phenotypes. Loss of genes that drive endodermal lineage specification, HNF4A and GATA6, switch metabolic profiles from classical (pancreatic) to predominantly squamous, with glycogen synthase kinase 3 beta (GSK3β) a key regulator of glycolysis. Pharmacological inhibition of GSK3β results in selective sensitivity in the squamous subtype; however, a subset of these squamous patient-derived cell lines (PDCLs) acquires rapid drug tolerance. Using chromatin accessibility maps, we demonstrate that the squamous subtype can be further classified using chromatin accessibility to predict responsiveness and tolerance to GSK3β inhibitors. Our findings demonstrate that distinct patterns of chromatin accessibility can be used to identify patient subgroups that are indistinguishable by gene expression profiles, highlighting the utility of chromatin-based biomarkers for patient selection in the treatment of PDAC.Entities:
Keywords: GATA6; GSK3B; HNF4A; PDAC subtypes; chromatin landscapes; intronic and distal promoters; metabolic targeting; therapeutic tolerance
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Year: 2020 PMID: 32402285 DOI: 10.1016/j.celrep.2020.107625
Source DB: PubMed Journal: Cell Rep Impact factor: 9.995