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DNA methylation-based reclassification of olfactory neuroblastoma

Overview of attention for article published in Acta Neuropathologica, May 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
DNA methylation-based reclassification of olfactory neuroblastoma
Published in
Acta Neuropathologica, May 2018
DOI 10.1007/s00401-018-1854-7
Pubmed ID
Authors

David Capper, Nils W. Engel, Damian Stichel, Matt Lechner, Stefanie Glöss, Simone Schmid, Christian Koelsche, Daniel Schrimpf, Judith Niesen, Annika K. Wefers, David T. W. Jones, Martin Sill, Oliver Weigert, Keith L. Ligon, Adriana Olar, Arend Koch, Martin Forster, Sebastian Moran, Oscar M. Tirado, Miguel Sáinz-Jaspeado, Jaume Mora, Manel Esteller, Javier Alonso, Xavier Garcia del Muro, Werner Paulus, Jörg Felsberg, Guido Reifenberger, Markus Glatzel, Stephan Frank, Camelia M. Monoranu, Valerie J. Lund, Andreas von Deimling, Stefan Pfister, Rolf Buslei, Julika Ribbat-Idel, Sven Perner, Volker Gudziol, Matthias Meinhardt, Ulrich Schüller

Abstract

Olfactory neuroblastoma/esthesioneuroblastoma (ONB) is an uncommon neuroectodermal neoplasm thought to arise from the olfactory epithelium. Little is known about its molecular pathogenesis. For this study, a retrospective cohort of n = 66 tumor samples with the institutional diagnosis of ONB was analyzed by immunohistochemistry, genome-wide DNA methylation profiling, copy number analysis, and in a subset, next-generation panel sequencing of 560 tumor-associated genes. DNA methylation profiles were compared to those of relevant differential diagnoses of ONB. Unsupervised hierarchical clustering analysis of DNA methylation data revealed four subgroups among institutionally diagnosed ONB. The largest group (n = 42, 64%, Core ONB) presented with classical ONB histology and no overlap with other classes upon methylation profiling-based t-distributed stochastic neighbor embedding (t-SNE) analysis. A second DNA methylation group (n = 7, 11%) with CpG island methylator phenotype (CIMP) consisted of cases with strong expression of cytokeratin, no or scarce chromogranin A expression and IDH2 hotspot mutation in all cases. T-SNE analysis clustered these cases together with sinonasal carcinoma with IDH2 mutation. Four cases (6%) formed a small group characterized by an overall high level of DNA methylation, but without CIMP. The fourth group consisted of 13 cases that had heterogeneous DNA methylation profiles and strong cytokeratin expression in most cases. In t-SNE analysis, these cases mostly grouped among sinonasal adenocarcinoma, squamous cell carcinoma, and undifferentiated carcinoma. Copy number analysis indicated highly recurrent chromosomal changes among Core ONB with a high frequency of combined loss of chromosome 1-4, 8-10, and 12. NGS sequencing did not reveal highly recurrent mutations in ONB, with the only recurrently mutated genes being TP53 and DNMT3A. In conclusion, we demonstrate that institutionally diagnosed ONB are a heterogeneous group of tumors. Expression of cytokeratin, chromogranin A, the mutational status of IDH2 as well as DNA methylation patterns may greatly aid in the precise classification of ONB.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 19%
Student > Ph. D. Student 11 18%
Student > Postgraduate 6 10%
Student > Bachelor 5 8%
Other 5 8%
Other 10 16%
Unknown 13 21%
Readers by discipline Count As %
Medicine and Dentistry 17 27%
Biochemistry, Genetics and Molecular Biology 7 11%
Agricultural and Biological Sciences 7 11%
Psychology 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 6 10%
Unknown 20 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 October 2019.
All research outputs
#4,709,508
of 23,047,237 outputs
Outputs from Acta Neuropathologica
#1,055
of 2,381 outputs
Outputs of similar age
#91,096
of 327,168 outputs
Outputs of similar age from Acta Neuropathologica
#28
of 40 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. Compared to these this one has done well and is in the 79th 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 55% 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 327,168 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 72% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.