| Literature DB >> 32703770 |
Koji Miyabayashi1,2, Lindsey A Baker1,2, Astrid Deschênes1,2, Benno Traub1,2, Giuseppina Caligiuri1,2, Dennis Plenker1,2, Brinda Alagesan1,2, Pascal Belleau1, Siran Li1, Jude Kendall1, Gun Ho Jang3,4,5, Risa Karakida Kawaguchi1, Tim D D Somerville1, Hervé Tiriac1,2,6, Chang-Il Hwang1,2,7, Richard A Burkhart8,9, Nicholas J Roberts9,10, Laura D Wood9,10, Ralph H Hruban9,10, Jesse Gillis1, Alexander Krasnitz1, Christopher R Vakoc1, Michael Wigler1, Faiyaz Notta3,4,5, Steven Gallinger3,11,12,13, Youngkyu Park1,2, David A Tuveson14,2.
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is the most lethal common malignancy, with little improvement in patient outcomes over the past decades. Recently, subtypes of pancreatic cancer with different prognoses have been elaborated; however, the inability to model these subtypes has precluded mechanistic investigation of their origins. Here, we present a xenotransplantation model of PDAC in which neoplasms originate from patient-derived organoids injected directly into murine pancreatic ducts. Our model enables distinction of the two main PDAC subtypes: intraepithelial neoplasms from this model progress in an indolent or invasive manner representing the classical or basal-like subtypes of PDAC, respectively. Parameters that influence PDAC subtype specification in this intraductal model include cell plasticity and hyperactivation of the RAS pathway. Finally, through intratumoral dissection and the direct manipulation of RAS gene dosage, we identify a suite of RAS-regulated secreted and membrane-bound proteins that may represent potential candidates for therapeutic intervention in patients with PDAC. SIGNIFICANCE: Accurate modeling of the molecular subtypes of pancreatic cancer is crucial to facilitate the generation of effective therapies. We report the development of an intraductal organoid transplantation model of pancreatic cancer that models the progressive switching of subtypes, and identify stochastic and RAS-driven mechanisms that determine subtype specification.See related commentary by Pickering and Morton, p. 1448.This article is highlighted in the In This Issue feature, p. 1426. ©2020 American Association for Cancer Research.Entities:
Mesh:
Year: 2020 PMID: 32703770 PMCID: PMC7664990 DOI: 10.1158/2159-8290.CD-20-0133
Source DB: PubMed Journal: Cancer Discov ISSN: 2159-8274 Impact factor: 38.272