↓ Skip to main content

FGFR1:TACC1 fusion is a frequent event in molecularly defined extraventricular neurocytoma

Overview of attention for article published in Acta Neuropathologica, July 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
11 X users

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
44 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
FGFR1:TACC1 fusion is a frequent event in molecularly defined extraventricular neurocytoma
Published in
Acta Neuropathologica, July 2018
DOI 10.1007/s00401-018-1882-3
Pubmed ID
Authors

Philipp Sievers, Damian Stichel, Daniel Schrimpf, Felix Sahm, Christian Koelsche, David E. Reuss, Annika K. Wefers, Annekathrin Reinhardt, Kristin Huang, Azadeh Ebrahimi, Yanghao Hou, Kristian W. Pajtler, Stefan M. Pfister, Martin Hasselblatt, Walter Stummer, Uta Schick, Christian Hartmann, Christian Hagel, Ori Staszewski, Guido Reifenberger, Rudi Beschorner, Roland Coras, Kathy Keyvani, Patricia Kohlhof, Francesca Diomedi-Camassei, Christel Herold-Mende, Felice Giangaspero, Elisabeth Rushing, Caterina Giannini, Andrey Korshunov, David T. W. Jones, Andreas von Deimling

Abstract

Extraventricular neurocytoma (EVN) is a rare primary brain tumor occurring in brain parenchyma outside the ventricular system. Histopathological characteristics resemble those of central neurocytoma but exhibit a wider morphologic spectrum. Accurate diagnosis of these histologically heterogeneous tumors is often challenging because of the overlapping morphological features and the lack of defining molecular markers. Here, we explored the molecular landscape of 40 tumors diagnosed histologically as EVN by investigating copy number profiles and DNA methylation array data. DNA methylation profiles were compared with those of relevant differential diagnoses of EVN and with a broader spectrum of diverse brain tumor entities. Based on this, our tumor cohort segregated into different groups. While a large fraction (n = 22) formed a separate epigenetic group clearly distinct from established DNA methylation profiles of other entities, a subset (n = 14) of histologically diagnosed EVN grouped with clusters of other defined entities. Three cases formed a small group close to but separated from the epigenetically distinct EVN cases, and one sample clustered with non-neoplastic brain tissue. Four additional samples originally diagnosed otherwise were found to molecularly resemble EVN. Thus, our results highlight a distinct DNA methylation pattern for the majority of tumors diagnosed as EVN, but also indicate that approximately one third of morphological diagnoses of EVN epigenetically correspond to other brain tumor entities. Copy number analysis and confirmation through RNA sequencing revealed FGFR1-TACC1 fusion as a distinctive, recurrent feature within the EVN methylation group (60%), in addition to a small number of other FGFR rearrangements (13%). In conclusion, our data demonstrate a specific epigenetic signature of EVN suitable for characterization of these tumors as a molecularly distinct entity, and reveal a high frequency of potentially druggable FGFR pathway activation in this tumor group.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 16%
Student > Ph. D. Student 5 11%
Student > Doctoral Student 4 9%
Other 4 9%
Student > Postgraduate 4 9%
Other 9 20%
Unknown 11 25%
Readers by discipline Count As %
Medicine and Dentistry 18 41%
Biochemistry, Genetics and Molecular Biology 4 9%
Neuroscience 2 5%
Psychology 1 2%
Chemistry 1 2%
Other 1 2%
Unknown 17 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 08 March 2019.
All research outputs
#4,230,561
of 23,094,276 outputs
Outputs from Acta Neuropathologica
#971
of 2,381 outputs
Outputs of similar age
#82,021
of 327,553 outputs
Outputs of similar age from Acta Neuropathologica
#19
of 29 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,381 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has gotten more attention than average, scoring higher than 59% 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 327,553 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.