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A Multiscale Map of the Stem Cell State in Pancreatic Adenocarcinoma

Authors :
Michael Hamilton
Trey Ideker
Haiyong Han
Sara Brin Rosenthal
Christian M. Schürch
Roman Sasik
Kathleen M. Fisch
Nikki K. Lytle
Andrew M. Lowy
Marcie Kritzik
Lourdes A Esparza
Wei Lin
Neil Robertson
Randall French
Nathan E. Lewis
L. Paige Ferguson
Evanthia Karamitopoulou
Philipp Spahn
Martin Wartenberg
Yutaka Shima
Micha Eichmann
Anagha Deshpande
Kathryn Gilroy
Peter D. Adams
José A. Galván
Raymond G. Fox
Inti Zlobec
Tami Gilderman
Tannishtha Reya
Aniruddha J. Deshpande
Pawan Noel
Daniel D. Von Hoff
Nirakar Rajbhandari
Source :
Cell, vol 177, iss 3
Publication Year :
2019
Publisher :
eScholarship, University of California, 2019.

Abstract

Drug resistance and relapse remain key challenges inpancreatic cancer. Here, we have used RNA sequencing (RNA-seq), chromatin immunoprecipitation (ChIP)-seq, and genome-wide CRISPR analysis to map the molecular dependencies of pancreatic cancer stem cells, highly therapy-resistant cells that preferentially drive tumorigenesis and progression. This integrated genomic approach revealed an unexpected utilization of immuno-regulatory signals by pancreatic cancer epithelial cells. In particular, the nuclear hormone receptor retinoic-acid-receptor-related orphan receptor gamma (RORγ), known to drive inflammation and Tcell differentiation, was upregulated during pancreatic cancer progression, and its genetic or pharmacologic inhibition led to a striking defect in pancreatic cancer growth and a marked improvement in survival. Further, a large-scale retrospective analysis in patients revealed that RORγ expression may predict pancreatic cancer aggressiveness, as it positively correlated with advanced disease and metastasis. Collectively, these data identify an orthogonal co-option of immuno-regulatory signals by pancreatic cancer stem cells, suggesting that autoimmune drugs should be evaluated as novel treatment strategies for pancreatic cancer patients.

Details

Database :
OpenAIRE
Journal :
Cell, vol 177, iss 3
Accession number :
edsair.doi.dedup.....1439315728d601799b93bc272a2db8f9