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Attention Score in Context
| Title |
K27M mutation in histone H3.3 defines clinically and biologically distinct subgroups of pediatric diffuse intrinsic pontine gliomas
|
|---|---|
| Published in |
Acta Neuropathologica, June 2012
|
| DOI | 10.1007/s00401-012-0998-0 |
| Pubmed ID | |
| Authors |
Dong-Anh Khuong-Quang, Pawel Buczkowicz, Patricia Rakopoulos, Xiao-Yang Liu, Adam M. Fontebasso, Eric Bouffet, Ute Bartels, Steffen Albrecht, Jeremy Schwartzentruber, Louis Letourneau, Mathieu Bourgey, Guillaume Bourque, Alexandre Montpetit, Genevieve Bourret, Pierre Lepage, Adam Fleming, Peter Lichter, Marcel Kool, Andreas von Deimling, Dominik Sturm, Andrey Korshunov, Damien Faury, David T. Jones, Jacek Majewski, Stefan M. Pfister, Nada Jabado, Cynthia Hawkins |
| Abstract |
Pediatric glioblastomas (GBM) including diffuse intrinsic pontine gliomas (DIPG) are devastating brain tumors with no effective therapy. Here, we investigated clinical and biological impacts of histone H3.3 mutations. Forty-two DIPGs were tested for H3.3 mutations. Wild-type versus mutated (K27M-H3.3) subgroups were compared for HIST1H3B, IDH, ATRX and TP53 mutations, copy number alterations and clinical outcome. K27M-H3.3 occurred in 71 %, TP53 mutations in 77 % and ATRX mutations in 9 % of DIPGs. ATRX mutations were more frequent in older children (p < 0.0001). No G34V/R-H3.3, IDH1/2 or H3.1 mutations were identified. K27M-H3.3 DIPGs showed specific copy number changes, including all gains/amplifications of PDGFRA and MYC/PVT1 loci. Notably, all long-term survivors were H3.3 wild type and this group of patients had better overall survival. K27M-H3.3 mutation defines clinically and biologically distinct subgroups and is prevalent in DIPG, which will impact future therapeutic trial design. K27M- and G34V-H3.3 have location-based incidence (brainstem/cortex) and potentially play distinct roles in pediatric GBM pathogenesis. K27M-H3.3 is universally associated with short survival in DIPG, while patients wild-type for H3.3 show improved survival. Based on prognostic and therapeutic implications, our findings argue for H3.3-mutation testing at diagnosis, which should be rapidly integrated into the clinical decision-making algorithm, particularly in atypical DIPG. |
Mendeley readers
The data shown below were compiled from readership statistics for 567 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | <1% |
| United States | 2 | <1% |
| Australia | 1 | <1% |
| Czechia | 1 | <1% |
| Ukraine | 1 | <1% |
| Netherlands | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| France | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 555 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 99 | 17% |
| Researcher | 90 | 16% |
| Student > Bachelor | 60 | 11% |
| Student > Master | 49 | 9% |
| Student > Doctoral Student | 40 | 7% |
| Other | 95 | 17% |
| Unknown | 134 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 124 | 22% |
| Biochemistry, Genetics and Molecular Biology | 122 | 22% |
| Agricultural and Biological Sciences | 92 | 16% |
| Neuroscience | 23 | 4% |
| Chemistry | 9 | 2% |
| Other | 42 | 7% |
| Unknown | 155 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 15 September 2022.
All research outputs
#2,926,553
of 25,837,817 outputs
Outputs from Acta Neuropathologica
#730
of 2,606 outputs
Outputs of similar age
#18,472
of 181,713 outputs
Outputs of similar age from Acta Neuropathologica
#3
of 22 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,606 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one has gotten more attention than average, scoring higher than 70% 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 181,713 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.