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A renewed model of pancreatic cancer evolution based on genomic rearrangement patterns

Authors :
George Zogopoulos
Mathieu Lemire
Thomas J. Hudson
Michael A. Hollingsworth
Robert E. Denroche
Faiyaz Notta
Jeremy Johns
Michael H.A. Roehrl
Francisco X. Real
Ayelet Borgida
Dianne Chadwick
Ashton A. Connor
John E. Dick
Peter J. Campbell
John Douglas Mcpherson
Jared T. Simpson
Lee Timms
Olga Ludkovski
Calvin Law
Nicholas Buchner
Emin Ibrahimov
Sean P. Cleary
Christina K. Yung
J. Kim
Lincoln Stein
Gun Ho Jang
Karen Ng
Ludmil B. Alexandrov
Lars G.T. Jorgensen
Gavin W. Wilson
Steven Gallinger
Ilinca Lungu
John M. S. Bartlett
Lawrence E. Heisler
Gloria M. Petersen
Tao Wang
Sheng Ben Liang
Andrew M.K. Brown
Sara Hafezi-Bakhtiari
Timothy Beck
Julie M. Wilson
Danielle Pasternack
Liran I. Shlush
Michelle Chan-Seng-Yue
Ming-Sound Tsao
Yang Li
Source :
Nature, vol 538, iss 7625, Recercat. Dipósit de la Recerca de Catalunya, instname
Publication Year :
2016
Publisher :
Springer Science and Business Media LLC, 2016.

Abstract

Pancreatic cancer, a highly aggressive tumour type with uniformly poor prognosis, exemplifies the classically held view of stepwise cancer development. The current model of tumorigenesis, based on analyses of precursor lesions, termed pancreatic intraepithelial neoplasm (PanINs) lesions, makes two predictions: first, that pancreatic cancer develops through a particular sequence of genetic alterations (KRAS, followed by CDKN2A, then TP53 and SMAD4); and second, that the evolutionary trajectory of pancreatic cancer progression is gradual because each alteration is acquired independently. A shortcoming of this model is that clonally expanded precursor lesions do not always belong to the tumour lineage, indicating that the evolutionary trajectory of the tumour lineage and precursor lesions can be divergent. This prevailing model of tumorigenesis has contributed to the clinical notion that pancreatic cancer evolves slowly and presents at a late stage. However, the propensity for this disease to rapidly metastasize and the inability to improve patient outcomes, despite efforts aimed at early detection, suggest that pancreatic cancer progression is not gradual. Here, using newly developed informatics tools, we tracked changes in DNA copy number and their associated rearrangements in tumour-enriched genomes and found that pancreatic cancer tumorigenesis is neither gradual nor follows the accepted mutation order. Two-thirds of tumours harbour complex rearrangement patterns associated with mitotic errors, consistent with punctuated equilibrium as the principal evolutionary trajectory. In a subset of cases, the consequence of such errors is the simultaneous, rather than sequential, knockout of canonical preneoplastic genetic drivers that are likely to set-off invasive cancer growth. These findings challenge the current progression model of pancreatic cancer and provide insights into the mutational processes that give rise to these aggressive tumours. Funding sources for this study include grants to the Pancreatic Cancer Sequencing Initiative program from the Ontario Institute for Cancer Research (OICR), through support from the Ontario Ministry of Research and Innovation, the Canada Foundation for Innovation; research award to F.N. from the OICR and the Canadian Institutes for Health Research (CIHR); Canadian Friends of the Hebrew University, the SMGS Family Foundation, NCI grant P50 CA102701 (Mayo Clinic SPORE in Pancreatic Cancer) and NCI grant R01 CA97075 (Pancreatic Cancer Genetic Epidemiology Consortium). F.N. is supported by a fellowship award from CIHR and is a recipient of a scholar’s research award from the Ontario Institute of Cancer Research (OICR), through support from the Ontario Ministry of Research and Innovation. G.Z. is a Clinician–Scientist of the Fonds de la Recherche en Sante du Quebec. P.J.C. is a Wellcome Trust Senior Clinical Fellow. T.J.H., L.D.S., J.D.M. and S.G. are recipients of Senior or Clinician–Scientist Awards from the Ontario Institute for Cancer Research

Details

ISSN :
14764687 and 00280836
Volume :
538
Database :
OpenAIRE
Journal :
Nature
Accession number :
edsair.doi.dedup.....8a1806913011ec307645216423791af9
Full Text :
https://doi.org/10.1038/nature19823