Evidence map›Paper›PMID 30786920›Full record

ArticleActa neuropathologica communications2019

Methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre.

Zane Jaunmuktane, David Capper, David T W Jones, Daniel Schrimpf, Martin Sill, Monika Dutt, Nirosha Suraweera, Stefan M Pfister, Andreas von Deimling, Sebastian Brandner

Open access · goldAbstract read
In one paragraph

Article in Acta neuropathologica communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 4 pooled it
12.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

114 citing papers in PubMed, 4 syntheses or guidelines pooled it, 175 citations in OpenAlex.

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54 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Zane JaunmuktaneDivision of Neuropathology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK. z.jaunmuktane@ucl.ac.uk.
David CapperDepartment of Neuropathology, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.
David T W JonesHopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.
Daniel SchrimpfDepartment of Neuropathology, University Hospital Heidelberg, Heidelberg, Germany.
Martin SillHopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.
Monika DuttDivision of Neuropathology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK.
Nirosha SuraweeraDivision of Neuropathology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK.
Stefan M PfisterHopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.
Andreas von DeimlingDepartment of Neuropathology, University Hospital Heidelberg, Heidelberg, Germany.
Sebastian BrandnerDivision of Neuropathology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK. s.brandner@ucl.ac.uk.ORCID 0000-0002-9821-0342
German Cancer Research Center · DEUniversity College London Hospitals NHS Foundation Trust · GB

Funding

Department of Health[UK]Health Services Research Programme BRC399/NS/RB/101410Medical Research Council G0701018Medical Research Council G1100578Medical Research Council MR/N004272/1
6 · The paper itself

Abstract

The introduction of the classification of brain tumours based on their DNA methylation profile has significantly changed the diagnostic approach for cases with ambiguous histology, non-informative or contradictory molecular profiles or for entities where methylation profiling provides useful information for patient risk stratification, for example in medulloblastoma and ependymoma. We present our experience that combines a conventional molecular diagnostic approach with the complementary use of a DNA methylation-based classification tool, for adult brain tumours originating from local as well as national referrals. We report the frequency of IDH mutations in a large cohort of nearly 1550 patients, EGFR amplifications in almost 1900 IDH-wildtype glioblastomas, and histone mutations in 70 adult gliomas. We demonstrate how additional methylation-based classification has changed and improved our diagnostic approach. Of the 325 cases referred for methylome testing, 179 (56%) had a calibrated score of 0.84 and higher and were included in the evaluation. In these 179 samples, the diagnosis was changed in 45 (25%), refined in 86 (48%) and confirmed in 44 cases (25%). In addition, the methylation arrays contain copy number information that usefully complements the methylation profile. For example, EGFR amplification which is 95% concordant with our Real-Time PCR-based copy number assays. We propose here a diagnostic algorithm that integrates histology, conventional molecular tests and methylation arrays.

Indexed as

AdultBiomarkers, TumorBrain NeoplasmsCohort StudiesDNA FingerprintingDNA MethylationFemaleGlioblastomaHumansMaleBiomarkers, TumorAdult brain tumoursBRAFBrain tumour classificationDKFZ classifierEpendymomaGliomaH3 K27MHistone mutationIDH1IDH2Illumina arrayMethylation arrayMethylation classifierMolecular diagnostics

Identifiers

PMID30786920
PMCPMC6381711
OpenAlexW2922989408

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.