Evidence map›Paper›PMID 29348602›Full record

ArticleScientific reports2018

The ten-year evolutionary trajectory of a highly recurrent paediatric high grade neuroepithelial tumour with MN1:BEND2 fusion.

Anna Burford, Alan Mackay, Sergey Popov, Maria Vinci, Diana Carvalho, Matthew Clarke, Elisa Izquierdo, Aimee Avery, Thomas S Jacques, Wendy J Ingram and 5 more

Open access · goldAbstract readCase Reports
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

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  14. Major Features of the 2021 WHO Classification of CNS Tumors.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
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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

15 authors at 5 institutions in 3 countries.

Anna BurfordCentre for Evolution and Cancer, Institute of Cancer Research, London, UK.
Alan MackayCentre for Evolution and Cancer, Institute of Cancer Research, London, UK.
Sergey PopovCentre for Evolution and Cancer, Institute of Cancer Research, London, UK.
Maria VinciCentre for Evolution and Cancer, Institute of Cancer Research, London, UK.
Diana CarvalhoCentre for Evolution and Cancer, Institute of Cancer Research, London, UK.
Matthew ClarkeCentre for Evolution and Cancer, Institute of Cancer Research, London, UK.
Elisa IzquierdoCentre for Evolution and Cancer, Institute of Cancer Research, London, UK.
Aimee AveryDepartment of Histopathology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Thomas S JacquesDepartment of Histopathology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Wendy J IngramUQ Child Health Research Centre, The University of Queensland, Brisbane, Australia.
Andrew S MooreThe University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Australia.ORCID http://orcid.org/0000-0001-8062-1779
Kieran FrawleyMedical Imaging and Nuclear Medicine, Children's Health Queensland Hospital and Health Service, Brisbane, Australia.
Timothy E HassallOncology Services Group, Children's Health Queensland Hospital and Health Service, Brisbane, Australia.
Thomas RobertsonPathology Queensland, Royal Brisbane and Women's Hospital, and School of Medicine, University of Queensland, Brisbane, Australia.
Chris JonesCentre for Evolution and Cancer, Institute of Cancer Research, London, UK. chris.jones@icr.ac.uk.
Institute of Cancer Research · GBChildren’s Health Queensland Hospital and Health Service · AUGreat Ormond Street Hospital for Children NHS Foundation Trust · GBThe University of Queensland · AUTranslational Research Institute · AU

Funding

Cancer Research UK 13982Cancer Research UK 23536Cancer Research UK C13468/A13982
6 · The paper itself

Abstract

Astroblastomas are rare brain tumours which predominate in children and young adults, and have a controversial claim as a distinct entity, with no established WHO grade. Reports suggest a better outcome than high grade gliomas, though they frequently recur. Recently, they have been described to overlap with a newly-discovered group of tumours described as'high grade neuroepithelial tumour with MN1 alteration' (CNS HGNET-MN1), defined by global methylation patterns and strongly associated with gene fusions targeting MN1. We have studied a unique case of astroblastoma arising in a 6 year-old girl, with multiple recurrences over a period of 10 years, with the pathognomonic MN1:BEND2 fusion. Exome sequencing allowed for a phylogenetic reconstruction of tumour evolution, which when integrated with clinical, pathological and radiological data provide for a detailed understanding of disease progression, with initial treatment driving tumour dissemination along four distinct trajectories. Infiltration of distant sites was associated with a later genome doubling, whilst there was evidence of convergent evolution of different lesions acquiring distinct alterations targeting NF-κB. These data represent an unusual opportunity to understand the evolutionary history of a highly recurrent childhood brain tumour, and provide novel therapeutic targets for astroblastoma/CNS HGNET-MN1.

Indexed as

Age FactorsChildExome SequencingFemaleHumansImmunohistochemistryIn Situ Hybridization, FluorescenceNeoplasm GradingNeoplasms, NeuroepithelialOncogene Proteins, FusionRecurrenceTrans-ActivatorsTranslocation, GeneticTumor Suppressor ProteinsMN1 protein, humanOncogene Proteins, FusionTrans-ActivatorsTumor Suppressor Proteins

Identifiers

PMID29348602
PMCPMC5773598
OpenAlexW2782724026

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.