↓ Skip to main content

Characterizing temporal genomic heterogeneity in pediatric high-grade gliomas

Overview of attention for article published in Acta Neuropathologica Communications, October 2017
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
72 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
Characterizing temporal genomic heterogeneity in pediatric high-grade gliomas
Published in
Acta Neuropathologica Communications, October 2017
DOI 10.1186/s40478-017-0479-8
Pubmed ID
Authors

Ralph Salloum, Melissa K. McConechy, Leonie G. Mikael, Christine Fuller, Rachid Drissi, Mariko DeWire, Hamid Nikbakht, Nicolas De Jay, Xiaodan Yang, Daniel Boue, Lionel M. L. Chow, Jonathan L. Finlay, Tenzin Gayden, Jason Karamchandani, Trent R. Hummel, Randal Olshefski, Diana S. Osorio, Charles Stevenson, Claudia L. Kleinman, Jacek Majewski, Maryam Fouladi, Nada Jabado

Abstract

Pediatric high-grade gliomas (pHGGs) are aggressive neoplasms representing approximately 20% of brain tumors in children. Current therapies offer limited disease control, and patients have a poor prognosis. Empiric use of targeted therapy, especially at progression, is increasingly practiced despite a paucity of data regarding temporal and therapy-driven genomic evolution in pHGGs. To study the genetic landscape of pHGGs at recurrence, we performed whole exome and methylation analyses on matched primary and recurrent pHGGs from 16 patients. Tumor mutational profiles identified three distinct subgroups. Group 1 (n = 7) harbored known hotspot mutations in Histone 3 (H3) (K27M or G34V) or IDH1 (H3/IDH1 mutants) and co-occurring TP53 or ACVR1 mutations in tumor pairs across the disease course. Group 2 (n = 7), H3/IDH1 wildtype tumor pairs, harbored novel mutations in chromatin modifiers (ZMYND11, EP300 n = 2), all associated with TP53 alterations, or had BRAF V600E mutations (n = 2) conserved across tumor pairs. Group 3 included 2 tumors with NF1 germline mutations. Pairs from primary and relapsed pHGG samples clustered within the same DNA methylation subgroup. ATRX mutations were clonal and retained in H3G34V and H3/IDH1 wildtype tumors, while different genetic alterations in this gene were observed at diagnosis and recurrence in IDH1 mutant tumors. Mutations in putative drug targets (EGFR, ERBB2, PDGFRA, PI3K) were not always shared between primary and recurrence samples, indicating evolution during progression. Our findings indicate that specific key driver mutations in pHGGs are conserved at recurrence and are prime targets for therapeutic development and clinical trials (e.g. H3 post-translational modifications, IDH1, BRAF V600E). Other actionable mutations are acquired or lost, indicating that re-biopsy at recurrence will provide better guidance for effective targeted therapy of pHGGs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 14%
Student > Bachelor 8 11%
Other 7 10%
Student > Postgraduate 7 10%
Student > Master 7 10%
Other 12 17%
Unknown 21 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 25%
Medicine and Dentistry 13 18%
Agricultural and Biological Sciences 6 8%
Neuroscience 5 7%
Business, Management and Accounting 1 1%
Other 6 8%
Unknown 23 32%
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 20 April 2018.
All research outputs
#13,162,992
of 23,305,591 outputs
Outputs from Acta Neuropathologica Communications
#1,006
of 1,411 outputs
Outputs of similar age
#155,184
of 329,411 outputs
Outputs of similar age from Acta Neuropathologica Communications
#12
of 23 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,411 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one is in the 28th percentile – i.e., 28% 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 329,411 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 52% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.