Dynamic landscape of pancreatic carcinogenesis reveals early molecular networks of malignancy

• Verfasst von: Kong, Bo [VerfasserIn]
• Verfasst von: Roth, Susanne [VerfasserIn]
• Verfasst von: Hackert, Thilo [VerfasserIn]
• Verfasst von: Michalski, Christoph [VerfasserIn]
• Titel: Dynamic landscape of pancreatic carcinogenesis reveals early molecular networks of malignancy
• Verf.angabe: Bo Kong, Philipp Bruns, Nora A. Behler, Ligong Chang, Anna Melissa Schlitter, Jing Cao, Andreas Gewies, Jürgen Ruland, Sina Fritzsche, Nataliya Valkovskaya, Ziying Jian, Ivonne Regel, Susanne Raulefs, Martin Irmler, Johannes Beckers, Helmut Friess, Mert Erkan, Nikola S. Mueller, Susanne Roth, Thilo Hackert, Irene Esposito, Fabian J. Theis, Jörg Kleeff, Christoph W. Michalski
• Jahr: 2018
• Umfang: 11 S.
• Fussnoten: Published online first 19 September 2016 ; Gesehen am 16.01.2020
• Titel Quelle: Enthalten in: Gut
• Ort Quelle: London : BMJ Publishing Group, 1960
• Jahr Quelle: 2018
• Band/Heft Quelle: 67(2018), 1, Seite 146-156
• ISSN Quelle: 1468-3288
• DOI: doi:10.1136/gutjnl-2015-310913
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: PANCREATIC CANCER
• Sach-SW: SIGNAL TRANSDUCTION
• K10plus-PPN: 1687581010

Abstract

The initial steps of pancreatic regeneration versus carcinogenesis are insufficiently understood. Although a combination of oncogenic Kras and inflammation has been shown to induce malignancy, molecular networks of early carcinogenesis remain poorly defined. We compared early events during inflammation, regeneration and carcinogenesis on histological and transcriptional levels with a high temporal resolution using a well-established mouse model of pancreatitis and of inflammation-accelerated KrasG12D-driven pancreatic ductal adenocarcinoma. Quantitative expression data were analysed and extensively modelled in silico.