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Heterogeneity within the PF-EPN-B ependymoma subgroup

Overview of attention for article published in Acta Neuropathologica, July 2018
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Title
Heterogeneity within the PF-EPN-B ependymoma subgroup
Published in
Acta Neuropathologica, July 2018
DOI 10.1007/s00401-018-1888-x
Pubmed ID
Authors

Florence M. G. Cavalli, Jens-Martin Hübner, Tanvi Sharma, Betty Luu, Martin Sill, Michal Zapotocky, Stephen C. Mack, Hendrik Witt, Tong Lin, David J. H. Shih, Ben Ho, Mariarita Santi, Lyndsey Emery, Juliette Hukin, Christopher Dunham, Roger E. McLendon, Eric S. Lipp, Sridharan Gururangan, Andrew Grossbach, Pim French, Johan M. Kros, Marie-Lise C. van Veelen, Amulya A. Nageswara Rao, Caterina Giannini, Sarah Leary, Shin Jung, Claudia C. Faria, Jaume Mora, Ulrich Schüller, Marta M. Alonso, Jennifer A. Chan, Almos Klekner, Lola B. Chambless, Eugene I. Hwang, Maura Massimino, Charles G. Eberhart, Matthias A. Karajannis, Benjamin Lu, Linda M. Liau, Massimo Zollo, Veronica Ferrucci, Carlos Carlotti, Daniela P. C. Tirapelli, Uri Tabori, Eric Bouffet, Marina Ryzhova, David W. Ellison, Thomas E. Merchant, Mark R. Gilbert, Terri S. Armstrong, Andrey Korshunov, Stefan M. Pfister, Michael D. Taylor, Kenneth Aldape, Kristian W. Pajtler, Marcel Kool, Vijay Ramaswamy

Abstract

Posterior fossa ependymoma comprise three distinct molecular variants, termed PF-EPN-A (PFA), PF-EPN-B (PFB), and PF-EPN-SE (subependymoma). Clinically, they are very disparate and PFB tumors are currently being considered for a trial of radiation avoidance. However, to move forward, unraveling the heterogeneity within PFB would be highly desirable. To discern the molecular heterogeneity within PFB, we performed an integrated analysis consisting of DNA methylation profiling, copy-number profiling, gene expression profiling, and clinical correlation across a cohort of 212 primary posterior fossa PFB tumors. Unsupervised spectral clustering and t-SNE analysis of genome-wide methylation data revealed five distinct subtypes of PFB tumors, termed PFB1-5, with distinct demographics, copy-number alterations, and gene expression profiles. All PFB subtypes were distinct from PFA and posterior fossa subependymomas. Of the five subtypes, PFB4 and PFB5 are more discrete, consisting of younger and older patients, respectively, with a strong female-gender enrichment in PFB5 (age: p = 0.011, gender: p = 0.04). Broad copy-number aberrations were common; however, many events such as chromosome 2 loss, 5 gain, and 17 loss were enriched in specific subtypes and 1q gain was enriched in PFB1. Late relapses were common across all five subtypes, but deaths were uncommon and present in only two subtypes (PFB1 and PFB3). Unlike the case in PFA ependymoma, 1q gain was not a robust marker of poor progression-free survival; however, chromosome 13q loss may represent a novel marker for risk stratification across the spectrum of PFB subtypes. Similar to PFA ependymoma, there exists a significant intertumoral heterogeneity within PFB, with distinct molecular subtypes identified. Even when accounting for this heterogeneity, extent of resection remains the strongest predictor of poor outcome. However, this biological heterogeneity must be accounted for in future preclinical modeling and personalized therapies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 13%
Student > Ph. D. Student 13 12%
Student > Master 11 10%
Student > Bachelor 8 8%
Student > Doctoral Student 8 8%
Other 18 17%
Unknown 34 32%
Readers by discipline Count As %
Medicine and Dentistry 24 23%
Biochemistry, Genetics and Molecular Biology 20 19%
Neuroscience 7 7%
Agricultural and Biological Sciences 5 5%
Physics and Astronomy 3 3%
Other 7 7%
Unknown 40 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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
#13,385,033
of 23,096,849 outputs
Outputs from Acta Neuropathologica
#2,016
of 2,381 outputs
Outputs of similar age
#148,974
of 296,625 outputs
Outputs of similar age from Acta Neuropathologica
#27
of 31 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
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 is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 296,625 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.