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Same-day genomic and epigenomic diagnosis of brain tumors using real-time nanopore sequencing

Overview of attention for article published in Acta Neuropathologica, June 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
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106 X users
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1 patent
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1 Facebook page

Citations

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141 Dimensions

Readers on

mendeley
293 Mendeley
Title
Same-day genomic and epigenomic diagnosis of brain tumors using real-time nanopore sequencing
Published in
Acta Neuropathologica, June 2017
DOI 10.1007/s00401-017-1743-5
Pubmed ID
Authors

Philipp Euskirchen, Franck Bielle, Karim Labreche, Wigard P. Kloosterman, Shai Rosenberg, Mailys Daniau, Charlotte Schmitt, Julien Masliah-Planchon, Franck Bourdeaut, Caroline Dehais, Yannick Marie, Jean-Yves Delattre, Ahmed Idbaih

Abstract

Molecular classification of cancer has entered clinical routine to inform diagnosis, prognosis, and treatment decisions. At the same time, new tumor entities have been identified that cannot be defined histologically. For central nervous system tumors, the current World Health Organization classification explicitly demands molecular testing, e.g., for 1p/19q-codeletion or IDH mutations, to make an integrated histomolecular diagnosis. However, a plethora of sophisticated technologies is currently needed to assess different genomic and epigenomic alterations and turnaround times are in the range of weeks, which makes standardized and widespread implementation difficult and hinders timely decision making. Here, we explored the potential of a pocket-size nanopore sequencing device for multimodal and rapid molecular diagnostics of cancer. Low-pass whole genome sequencing was used to simultaneously generate copy number (CN) and methylation profiles from native tumor DNA in the same sequencing run. Single nucleotide variants in IDH1, IDH2, TP53, H3F3A, and the TERT promoter region were identified using deep amplicon sequencing. Nanopore sequencing yielded ~0.1X genome coverage within 6 h and resulting CN and epigenetic profiles correlated well with matched microarray data. Diagnostically relevant alterations, such as 1p/19q codeletion, and focal amplifications could be recapitulated. Using ad hoc random forests, we could perform supervised pan-cancer classification to distinguish gliomas, medulloblastomas, and brain metastases of different primary sites. Single nucleotide variants in IDH1, IDH2, and H3F3A were identified using deep amplicon sequencing within minutes of sequencing. Detection of TP53 and TERT promoter mutations shows that sequencing of entire genes and GC-rich regions is feasible. Nanopore sequencing allows same-day detection of structural variants, point mutations, and methylation profiling using a single device with negligible capital cost. It outperforms hybridization-based and current sequencing technologies with respect to time to diagnosis and required laboratory equipment and expertise, aiming to make precision medicine possible for every cancer patient, even in resource-restricted settings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 106 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 293 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 293 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 18%
Researcher 51 17%
Student > Bachelor 33 11%
Student > Master 26 9%
Other 19 6%
Other 43 15%
Unknown 69 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 88 30%
Medicine and Dentistry 36 12%
Agricultural and Biological Sciences 35 12%
Neuroscience 13 4%
Engineering 9 3%
Other 36 12%
Unknown 76 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 69. 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 March 2023.
All research outputs
#626,326
of 25,706,302 outputs
Outputs from Acta Neuropathologica
#81
of 2,550 outputs
Outputs of similar age
#13,055
of 330,851 outputs
Outputs of similar age from Acta Neuropathologica
#3
of 36 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,550 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.5. This one has done particularly well, scoring higher than 96% 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 330,851 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.