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New Brain Tumor Entities Emerge from Molecular Classification of CNS-PNETs

Overview of attention for article published in Cell, February 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 (98th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
8 news outlets
blogs
1 blog
policy
1 policy source
twitter
49 X users
patent
11 patents
facebook
3 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user
guideline
1 clinical guideline source

Readers on

mendeley
574 Mendeley
citeulike
2 CiteULike
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Article details
Title
New Brain Tumor Entities Emerge from Molecular Classification of CNS-PNETs
Published in
Cell, February 2016
DOI 10.1016/j.cell.2016.01.015
Pubmed ID
Authors

Dominik Sturm, Brent A. Orr, Umut H. Toprak, Volker Hovestadt, David T.W. Jones, David Capper, Martin Sill, Ivo Buchhalter, Paul A. Northcott, Irina Leis, Marina Ryzhova, Christian Koelsche, Elke Pfaff, Sariah J. Allen, Gnanaprakash Balasubramanian, Barbara C. Worst, Kristian W. Pajtler, Sebastian Brabetz, Pascal D. Johann, Felix Sahm, Jüri Reimand, Alan Mackay, Diana M. Carvalho, Marc Remke, Joanna J. Phillips, Arie Perry, Cynthia Cowdrey, Rachid Drissi, Maryam Fouladi, Felice Giangaspero, Maria Łastowska, Wiesława Grajkowska, Wolfram Scheurlen, Torsten Pietsch, Christian Hagel, Johannes Gojo, Daniela Lötsch, Walter Berger, Irene Slavc, Christine Haberler, Anne Jouvet, Stefan Holm, Silvia Hofer, Marco Prinz, Catherine Keohane, Iris Fried, Christian Mawrin, David Scheie, Bret C. Mobley, Matthew J. Schniederjan, Mariarita Santi, Anna M. Buccoliero, Sonika Dahiya, Christof M. Kramm, André O. von Bueren, Katja von Hoff, Stefan Rutkowski, Christel Herold-Mende, Michael C. Frühwald, Till Milde, Martin Hasselblatt, Pieter Wesseling, Jochen Rößler, Ulrich Schüller, Martin Ebinger, Jens Schittenhelm, Stephan Frank, Rainer Grobholz, Istvan Vajtai, Volkmar Hans, Reinhard Schneppenheim, Karel Zitterbart, V. Peter Collins, Eleonora Aronica, Pascale Varlet, Stephanie Puget, Christelle Dufour, Jacques Grill, Dominique Figarella-Branger, Marietta Wolter, Martin U. Schuhmann, Tarek Shalaby, Michael Grotzer, Timothy van Meter, Camelia-Maria Monoranu, Jörg Felsberg, Guido Reifenberger, Matija Snuderl, Lynn Ann Forrester, Jan Koster, Rogier Versteeg, Richard Volckmann, Peter van Sluis, Stephan Wolf, Tom Mikkelsen, Amar Gajjar, Kenneth Aldape, Andrew S. Moore, Michael D. Taylor, Chris Jones, Nada Jabado, Matthias A. Karajannis, Roland Eils, Matthias Schlesner, Peter Lichter, Andreas von Deimling, Stefan M. Pfister, David W. Ellison, Andrey Korshunov, Marcel Kool

Abstract

Primitive neuroectodermal tumors of the central nervous system (CNS-PNETs) are highly aggressive, poorly differentiated embryonal tumors occurring predominantly in young children but also affecting adolescents and adults. Herein, we demonstrate that a significant proportion of institutionally diagnosed CNS-PNETs display molecular profiles indistinguishable from those of various other well-defined CNS tumor entities, facilitating diagnosis and appropriate therapy for patients with these tumors. From the remaining fraction of CNS-PNETs, we identify four new CNS tumor entities, each associated with a recurrent genetic alteration and distinct histopathological and clinical features. These new molecular entities, designated "CNS neuroblastoma with FOXR2 activation (CNS NB-FOXR2)," "CNS Ewing sarcoma family tumor with CIC alteration (CNS EFT-CIC)," "CNS high-grade neuroepithelial tumor with MN1 alteration (CNS HGNET-MN1)," and "CNS high-grade neuroepithelial tumor with BCOR alteration (CNS HGNET-BCOR)," will enable meaningful clinical trials and the development of therapeutic strategies for patients affected by poorly differentiated CNS tumors.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 49 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 574 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 %
Germany 3 <1%
United States 2 <1%
Japan 2 <1%
Norway 1 <1%
Italy 1 <1%
Spain 1 <1%
Egypt 1 <1%
Canada 1 <1%
Unknown 562 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 93 16%
Student > Ph. D. Student 81 14%
Other 57 10%
Student > Bachelor 36 6%
Student > Master 32 6%
Other 122 21%
Unknown 153 27%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 170 30%
Biochemistry, Genetics and Molecular Biology 99 17%
Agricultural and Biological Sciences 61 11%
Neuroscience 24 4%
Computer Science 9 2%
Other 41 7%
Unknown 170 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 108. 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 25 August 2026.
All research outputs
#494,819
of 34,457,357 outputs
Outputs from Cell
#2,537
of 19,609 outputs
Outputs of similar age
#7,059
of 453,104 outputs
Outputs of similar age from Cell
#37
of 164 outputs
Altmetric has tracked 34,457,357 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 19,609 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 63.5. This one has done well, scoring higher than 87% 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 453,104 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 98% of its contemporaries.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.