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Pancreatic cancer genomes reveal aberrations in axon guidance pathway genes

Overview of attention for article published in Nature, October 2012
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Citations

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1740 Dimensions

Readers on

mendeley
1289 Mendeley
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8 CiteULike
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Title
Pancreatic cancer genomes reveal aberrations in axon guidance pathway genes
Published in
Nature, October 2012
DOI 10.1038/nature11547
Pubmed ID
Authors

Andrew V. Biankin, Amber L. Johns, Amanda Mawson, David K. Chang, Christopher J. Scarlett, Mary-Anne L. Brancato, Sarah J. Rowe, Skye L. Simpson, Mona Martyn-Smith, Michelle T. Thomas, Lorraine A. Chantrill, Venessa T. Chin, Angela Chou, Mark J. Cowley, Jeremy L. Humphris, Marc D. Jones, R. Scott Mead, Adnan M. Nagrial, Marina Pajic, Jessica Pettit, Mark Pinese, Ilse Rooman, Jianmin Wu, Jiang Tao, Renee DiPietro, Clare Watson, Rachel Wong, Andreia V. Pinho, Marc Giry-Laterriere, Roger J. Daly, Elizabeth A. Musgrove, Robert L. Sutherland, Sean M. Grimmond, Nicola Waddell, Karin S. Kassahn, David K. Miller, Peter J. Wilson, Ann-Marie Patch, Sarah Song, Ivon Harliwong, Senel Idrisoglu, Craig Nourse, Ehsan Nourbakhsh, Suzanne Manning, Shivangi Wani, Milena Gongora, Matthew Anderson, Oliver Holmes, Conrad Leonard, Darrin Taylor, Scott Wood, Qinying Xu, Katia Nones, J. Lynn Fink, Angelika Christ, Tim Bruxner, Nicole Cloonan, Felicity Newell, John V. Pearson, Jaswinder S. Samra, Anthony J. Gill, Nick Pavlakis, Alex Guminski, Christopher Toon, Andrew V. Biankin, Ray Asghari, Neil D. Merrett, David K. Chang, Darren A. Pavey, Amitabha Das, Peter H. Cosman, Kasim Ismail, Chelsie O’Connor, Vincent W. Lam, Duncan McLeod, Henry C. Pleass, Arthur Richardson, Virginia James, James G. Kench, Caroline L. Cooper, David Joseph, Charbel Sandroussi, Michael Crawford, James Gallagher, Michael Texler, Cindy Forrest, Andrew Laycock, Krishna P. Epari, Mo Ballal, David R. Fletcher, Sanjay Mukhedkar, Nigel A. Spry, Bastiaan DeBoer, Ming Chai, Nikolajs Zeps, Maria Beilin, Kynan Feeney, Nam Q. Nguyen, Andrew R. Ruszkiewicz, Chris Worthley, Chuan P. Tan, Tamara Debrencini, John Chen, Mark E. Brooke-Smith, Virginia Papangelis, Henry Tang, Andrew P. Barbour, Andrew D. Clouston, Patrick Martin, Thomas J. O’Rourke, Amy Chiang, Jonathan W. Fawcett, Kellee Slater, Shinn Yeung, Michael Hatzifotis, Peter Hodgkinson, Christopher Christophi, Mehrdad Nikfarjam, Angela Mountain Victorian Cancer Biobank, James R. Eshleman, Ralph H. Hruban, Anirban Maitra, Christine A. Iacobuzio-Donahue, Richard D. Schulick, Christopher L. Wolfgang, Richard A. Morgan, Mary B. Hodgin, Aldo Scarpa, Rita T. Lawlor, Paola Capelli, Stefania Beghelli, Vincenzo Corbo, Maria Scardoni, Paolo Pederzoli, Giampaolo Tortora, Claudio Bassi, Margaret A. Tempero

Abstract

Pancreatic cancer is a highly lethal malignancy with few effective therapies. We performed exome sequencing and copy number analysis to define genomic aberrations in a prospectively accrued clinical cohort (n = 142) of early (stage I and II) sporadic pancreatic ductal adenocarcinoma. Detailed analysis of 99 informative tumours identified substantial heterogeneity with 2,016 non-silent mutations and 1,628 copy-number variations. We define 16 significantly mutated genes, reaffirming known mutations (KRAS, TP53, CDKN2A, SMAD4, MLL3, TGFBR2, ARID1A and SF3B1), and uncover novel mutated genes including additional genes involved in chromatin modification (EPC1 and ARID2), DNA damage repair (ATM) and other mechanisms (ZIM2, MAP2K4, NALCN, SLC16A4 and MAGEA6). Integrative analysis with in vitro functional data and animal models provided supportive evidence for potential roles for these genetic aberrations in carcinogenesis. Pathway-based analysis of recurrently mutated genes recapitulated clustering in core signalling pathways in pancreatic ductal adenocarcinoma, and identified new mutated genes in each pathway. We also identified frequent and diverse somatic aberrations in genes described traditionally as embryonic regulators of axon guidance, particularly SLIT/ROBO signalling, which was also evident in murine Sleeping Beauty transposon-mediated somatic mutagenesis models of pancreatic cancer, providing further supportive evidence for the potential involvement of axon guidance genes in pancreatic carcinogenesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 146 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,289 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 26 2%
Germany 5 <1%
Canada 4 <1%
United Kingdom 4 <1%
Australia 3 <1%
Japan 3 <1%
China 3 <1%
France 3 <1%
Netherlands 2 <1%
Other 10 <1%
Unknown 1226 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 293 23%
Researcher 272 21%
Student > Master 98 8%
Student > Bachelor 87 7%
Other 78 6%
Other 242 19%
Unknown 219 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 334 26%
Biochemistry, Genetics and Molecular Biology 320 25%
Medicine and Dentistry 232 18%
Computer Science 25 2%
Pharmacology, Toxicology and Pharmaceutical Science 24 2%
Other 106 8%
Unknown 248 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 156. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 October 2023.
All research outputs
#265,596
of 25,559,053 outputs
Outputs from Nature
#14,929
of 98,241 outputs
Outputs of similar age
#1,340
of 202,538 outputs
Outputs of similar age from Nature
#156
of 1,069 outputs
Altmetric has tracked 25,559,053 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,241 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.6. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 202,538 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 1,069 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.