bioRxiv preprint doi: https://doi.org/10.1101/2021.01.21.427604; this version posted January 22, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Pancreatic cancer prognosis is predicted by a novel ATAC-array technology for assessing chromatin accessibility Authors: Dhara S1, Chhangawala S2,3, Chintalapudi H1, Askan G4, Aveson V4,5, Massa AL1, Zhang L4, Torres D1, Makohon-Moore AP4, Lecomte N4, Melchor JP4, Bermeo J4, Cardenas III A4, Sinha S4, Glassman D4, Nicolle R7, Moffitt R6, Yu KH4, Leppanen S8, Laderman S8, Curry B8, Gui J1, Balachandran VP4, Iacobuzio-Donahue C4, Chandwani R5, Leslie CS3* and Leach SD1* Author affiliations: 1, Dartmouth Geisel School of Medicine and Norris Cotton Cancer Center, Hanover, NH, USA 2, Weill Cornell Graduate School of Medical Sciences, New York, NY, USA. 3, Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA. 4, David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA 5, Weill Cornell Medicine, New York, NY, USA 6, Stony Brook University, Stony Brook, NY, USA 7, Programme Cartes d'Identité des Tumeurs, Ligue Nationale Contre Le Cancer, Paris, France 8, Agilent Technologies Inc. Santa Clara, CA, USA (* Co-corresponding author e-mails:
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[email protected]) (First two authors contributed equally to this work) 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.21.427604; this version posted January 22, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.