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Divergent clonal selection dominates medulloblastoma at recurrence

Overview of attention for article published in Nature, January 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

news
3 news outlets
blogs
3 blogs
twitter
59 X users
patent
2 patents
facebook
2 Facebook pages
googleplus
1 Google+ user
f1000
1 research highlight platform

Readers on

mendeley
485 Mendeley
citeulike
1 CiteULike
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Article details
Title
Divergent clonal selection dominates medulloblastoma at recurrence
Published in
Nature, January 2016
DOI 10.1038/nature16478
Pubmed ID
Authors

A. Sorana Morrissy, Livia Garzia, David J. H. Shih, Scott Zuyderduyn, Xi Huang, Patryk Skowron, Marc Remke, Florence M. G. Cavalli, Vijay Ramaswamy, Patricia E. Lindsay, Salomeh Jelveh, Laura K. Donovan, Xin Wang, Betty Luu, Kory Zayne, Yisu Li, Chelsea Mayoh, Nina Thiessen, Eloi Mercier, Karen L. Mungall, Yusanne Ma, Kane Tse, Thomas Zeng, Karey Shumansky, Andrew J. L. Roth, Sohrab Shah, Hamza Farooq, Noriyuki Kijima, Borja L. Holgado, John J. Y. Lee, Stuart Matan-Lithwick, Jessica Liu, Stephen C. Mack, Alex Manno, K. A. Michealraj, Carolina Nor, John Peacock, Lei Qin, Juri Reimand, Adi Rolider, Yuan Y. Thompson, Xiaochong Wu, Trevor Pugh, Adrian Ally, Mikhail Bilenky, Yaron S. N. Butterfield, Rebecca Carlsen, Young Cheng, Eric Chuah, Richard D. Corbett, Noreen Dhalla, An He, Darlene Lee, Haiyan I. Li, William Long, Michael Mayo, Patrick Plettner, Jenny Q. Qian, Jacqueline E. Schein, Angela Tam, Tina Wong, Inanc Birol, Yongjun Zhao, Claudia C. Faria, José Pimentel, Sofia Nunes, Tarek Shalaby, Michael Grotzer, Ian F. Pollack, Ronald L. Hamilton, Xiao-Nan Li, Anne E. Bendel, Daniel W. Fults, Andrew W. Walter, Toshihiro Kumabe, Teiji Tominaga, V. Peter Collins, Yoon-Jae Cho, Caitlin Hoffman, David Lyden, Jeffrey H. Wisoff, James H. Garvin, Duncan S. Stearns, Luca Massimi, Ulrich Schüller, Jaroslav Sterba, Karel Zitterbart, Stephanie Puget, Olivier Ayrault, Sandra E. Dunn, Daniela P. C. Tirapelli, Carlos G. Carlotti, Helen Wheeler, Andrew R. Hallahan, Wendy Ingram, Tobey J. MacDonald, Jeffrey J. Olson, Erwin G. Van Meir, Ji-Yeoun Lee, Kyu-Chang Wang, Seung-Ki Kim, Byung-Kyu Cho, Torsten Pietsch, Gudrun Fleischhack, Stephan Tippelt, Young Shin Ra, Simon Bailey, Janet C. Lindsey, Steven C. Clifford, Charles G. Eberhart, Michael K. Cooper, Roger J. Packer, Maura Massimino, Maria Luisa Garre, Ute Bartels, Uri Tabori, Cynthia E. Hawkins, Peter Dirks, Eric Bouffet, James T. Rutka, Robert J. Wechsler-Reya, William A. Weiss, Lara S. Collier, Adam J. Dupuy, Andrey Korshunov, David T. W. Jones, Marcel Kool, Paul A. Northcott, Stefan M. Pfister, David A. Largaespada, Andrew J. Mungall, Richard A. Moore, Nada Jabado, Gary D. Bader, Steven J. M. Jones, David Malkin, Marco A. Marra, Michael D. Taylor

Abstract

The development of targeted anti-cancer therapies through the study of cancer genomes is intended to increase survival rates and decrease treatment-related toxicity. We treated a transposon-driven, functional genomic mouse model of medulloblastoma with 'humanized' in vivo therapy (microneurosurgical tumour resection followed by multi-fractionated, image-guided radiotherapy). Genetic events in recurrent murine medulloblastoma exhibit a very poor overlap with those in matched murine diagnostic samples (<5%). Whole-genome sequencing of 33 pairs of human diagnostic and post-therapy medulloblastomas demonstrated substantial genetic divergence of the dominant clone after therapy (<12% diagnostic events were retained at recurrence). In both mice and humans, the dominant clone at recurrence arose through clonal selection of a pre-existing minor clone present at diagnosis. Targeted therapy is unlikely to be effective in the absence of the target, therefore our results offer a simple, proximal, and remediable explanation for the failure of prior clinical trials of targeted therapy.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 59 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 485 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 5 1%
Germany 3 <1%
United Kingdom 2 <1%
France 2 <1%
Spain 2 <1%
Canada 2 <1%
Sweden 1 <1%
Netherlands 1 <1%
Japan 1 <1%
Other 4 <1%
Unknown 462 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 105 22%
Student > Ph. D. Student 86 18%
Student > Bachelor 40 8%
Student > Master 39 8%
Other 28 6%
Other 88 18%
Unknown 99 20%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 111 23%
Agricultural and Biological Sciences 104 21%
Medicine and Dentistry 85 18%
Computer Science 12 2%
Neuroscience 12 2%
Other 46 9%
Unknown 115 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 78. 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 09 January 2025.
All research outputs
#685,990
of 34,115,020 outputs
Outputs from Nature
#27,586
of 116,934 outputs
Outputs of similar age
#9,572
of 450,793 outputs
Outputs of similar age from Nature
#451
of 940 outputs
Altmetric has tracked 34,115,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 116,934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 95.7. This one has done well, scoring higher than 76% 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 450,793 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 97% of its contemporaries.
We're also able to compare this research output to 940 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.