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Dissecting the genomic complexity underlying medulloblastoma

Overview of attention for article published in Nature, July 2012
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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 (58th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
twitter
8 X users
patent
2 patents
wikipedia
8 Wikipedia pages
googleplus
2 Google+ users
f1000
1 research highlight platform

Citations

dimensions_citation
743 Dimensions

Readers on

mendeley
739 Mendeley
citeulike
7 CiteULike
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Title
Dissecting the genomic complexity underlying medulloblastoma
Published in
Nature, July 2012
DOI 10.1038/nature11284
Pubmed ID
Authors

David T. W. Jones, Natalie Jäger, Marcel Kool, Thomas Zichner, Barbara Hutter, Marc Sultan, Yoon-Jae Cho, Trevor J. Pugh, Volker Hovestadt, Adrian M. Stütz, Tobias Rausch, Hans-Jörg Warnatz, Marina Ryzhova, Sebastian Bender, Dominik Sturm, Sabrina Pleier, Huriye Cin, Elke Pfaff, Laura Sieber, Andrea Wittmann, Marc Remke, Hendrik Witt, Sonja Hutter, Theophilos Tzaridis, Joachim Weischenfeldt, Benjamin Raeder, Meryem Avci, Vyacheslav Amstislavskiy, Marc Zapatka, Ursula D. Weber, Qi Wang, Bärbel Lasitschka, Cynthia C. Bartholomae, Manfred Schmidt, Christof von Kalle, Volker Ast, Chris Lawerenz, Jürgen Eils, Rolf Kabbe, Vladimir Benes, Peter van Sluis, Jan Koster, Richard Volckmann, David Shih, Matthew J. Betts, Robert B. Russell, Simona Coco, Gian Paolo Tonini, Ulrich Schüller, Volkmar Hans, Norbert Graf, Yoo-Jin Kim, Camelia Monoranu, Wolfgang Roggendorf, Andreas Unterberg, Christel Herold-Mende, Till Milde, Andreas E. Kulozik, Andreas von Deimling, Olaf Witt, Eberhard Maass, Jochen Rössler, Martin Ebinger, Martin U. Schuhmann, Michael C. Frühwald, Martin Hasselblatt, Nada Jabado, Stefan Rutkowski, André O. von Bueren, Dan Williamson, Steven C. Clifford, Martin G. McCabe, V. Peter Collins, Stephan Wolf, Stefan Wiemann, Hans Lehrach, Benedikt Brors, Wolfram Scheurlen, Jörg Felsberg, Guido Reifenberger, Paul A. Northcott, Michael D. Taylor, Matthew Meyerson, Scott L. Pomeroy, Marie-Laure Yaspo, Jan O. Korbel, Andrey Korshunov, Roland Eils, Stefan M. Pfister, Peter Lichter

Abstract

Medulloblastoma is an aggressively growing tumour, arising in the cerebellum or medulla/brain stem. It is the most common malignant brain tumour in children, and shows tremendous biological and clinical heterogeneity. Despite recent treatment advances, approximately 40% of children experience tumour recurrence, and 30% will die from their disease. Those who survive often have a significantly reduced quality of life. Four tumour subgroups with distinct clinical, biological and genetic profiles are currently identified. WNT tumours, showing activated wingless pathway signalling, carry a favourable prognosis under current treatment regimens. SHH tumours show hedgehog pathway activation, and have an intermediate prognosis. Group 3 and 4 tumours are molecularly less well characterized, and also present the greatest clinical challenges. The full repertoire of genetic events driving this distinction, however, remains unclear. Here we describe an integrative deep-sequencing analysis of 125 tumour-normal pairs, conducted as part of the International Cancer Genome Consortium (ICGC) PedBrain Tumor Project. Tetraploidy was identified as a frequent early event in Group 3 and 4 tumours, and a positive correlation between patient age and mutation rate was observed. Several recurrent mutations were identified, both in known medulloblastoma-related genes (CTNNB1, PTCH1, MLL2, SMARCA4) and in genes not previously linked to this tumour (DDX3X, CTDNEP1, KDM6A, TBR1), often in subgroup-specific patterns. RNA sequencing confirmed these alterations, and revealed the expression of what are, to our knowledge, the first medulloblastoma fusion genes identified. Chromatin modifiers were frequently altered across all subgroups. These findings enhance our understanding of the genomic complexity and heterogeneity underlying medulloblastoma, and provide several potential targets for new therapeutics, especially for Group 3 and 4 patients.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 739 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 2%
Germany 7 <1%
Canada 5 <1%
Netherlands 4 <1%
United Kingdom 3 <1%
Denmark 2 <1%
Italy 2 <1%
Sweden 2 <1%
Spain 2 <1%
Other 12 2%
Unknown 688 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 181 24%
Student > Ph. D. Student 150 20%
Student > Master 59 8%
Student > Bachelor 54 7%
Other 48 6%
Other 141 19%
Unknown 106 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 246 33%
Biochemistry, Genetics and Molecular Biology 165 22%
Medicine and Dentistry 124 17%
Neuroscience 29 4%
Computer Science 12 2%
Other 45 6%
Unknown 118 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 45. 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 01 May 2023.
All research outputs
#857,460
of 24,171,511 outputs
Outputs from Nature
#29,275
of 94,375 outputs
Outputs of similar age
#4,439
of 167,157 outputs
Outputs of similar age from Nature
#402
of 973 outputs
Altmetric has tracked 24,171,511 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 94,375 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 101.4. This one has gotten more attention than average, scoring higher than 68% 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 167,157 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 973 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 58% of its contemporaries.