Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Dynamic landscape of pancreatic carcinogenesis reveals early molecular networks of malignancy.
Gut 67, 146-156 (2016)
OBJECTIVE: 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. DESIGN: 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 Kras(G12D)-driven pancreatic ductal adenocarcinoma. Quantitative expression data were analysed and extensively modelled in silico. RESULTS: We defined three distinctive phases-termed inflammation, regeneration and refinement-following induction of moderate acute pancreatitis in wild-type mice. These corresponded to different waves of proliferation of mesenchymal, progenitor-like and acinar cells. Pancreas regeneration required a coordinated transition of proliferation between progenitor-like and acinar cells. In mice harbouring an oncogenic Kras mutation and challenged with pancreatitis, there was an extended inflammatory phase and a parallel, continuous proliferation of mesenchymal, progenitor-like and acinar cells. Analysis of high-resolution transcriptional data from wild-type animals revealed that organ regeneration relied on a complex interaction of a gene network that normally governs acinar cell homeostasis, exocrine specification and intercellular signalling. In mice with oncogenic Kras, a specific carcinogenic signature was found, which was preserved in full-blown mouse pancreas cancer. CONCLUSIONS: These data define a transcriptional signature of early pancreatic carcinogenesis and a molecular network driving formation of preneoplastic lesions, which allows for more targeted biomarker development in order to detect cancer earlier in patients with pancreatitis.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
14.921
3.862
24
27
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Pancreatic Cancer ; Signal Transduction; Oncogenic Kras; Ductal Adenocarcinoma; Cancer Progression; Signaling Pathways; Gene-expression; Mosaic Analysis; Double Markers; Adult Mice; Cell; Regeneration
Sprache
deutsch
Veröffentlichungsjahr
2016
HGF-Berichtsjahr
2016
ISSN (print) / ISBN
0017-5749
e-ISSN
1468-3288
Zeitschrift
Gut (eGut)
Quellenangaben
Band: 67,
Heft: 1,
Seiten: 146-156
Verlag
BMJ Publishing Group
Verlagsort
London
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Computational Biology (ICB)
Institute of Experimental Genetics (IEG)
Institute of Pathology (PATH)
Institute of Experimental Genetics (IEG)
Institute of Pathology (PATH)
POF Topic(s)
30205 - Bioengineering and Digital Health
30201 - Metabolic Health
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
30502 - Diabetes: Pathophysiology, Prevention and Therapy
30201 - Metabolic Health
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
30502 - Diabetes: Pathophysiology, Prevention and Therapy
Forschungsfeld(er)
Enabling and Novel Technologies
Genetics and Epidemiology
Genetics and Epidemiology
PSP-Element(e)
G-503800-001
G-500600-004
G-500300-001
G-500600-005
G-500600-006
G-500600-004
G-500300-001
G-500600-005
G-500600-006
PubMed ID
27646934
WOS ID
WOS:000417778600020
Scopus ID
84988511928
Erfassungsdatum
2016-09-29