Evidence map›Paper›PMID 28388012›Full record

ArticleMolecular oncology2018

Methylation profiling of paediatric pilocytic astrocytoma reveals variants specifically associated with tumour location and predictive of recurrence.

Alexandra Sexton-Oates, Andrew Dodgshun, Volker Hovestadt, David T W Jones, David M Ashley, Michael Sullivan, Duncan MacGregor, Richard Saffery

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

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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

8 authors at 5 institutions in 3 countries.

Alexandra Sexton-OatesMurdoch Childrens Research Institute, The Royal Children's Hospital, Parkville, Australia.
Andrew DodgshunChildren's Cancer Centre, The Royal Children's Hospital, Parkville, Australia.
Volker HovestadtDivision of Molecular Genetics, German Cancer Research Centre (DKFZ), Heidelberg, Germany.
David T W JonesDivision of Pediatric Neurooncology, German Cancer Research Centre (DKFZ), Heidelberg, Germany.
David M AshleySchool of Medicine, Deakin University, Waurn Ponds, Australia.
Michael SullivanDepartment of Paediatrics, The University of Melbourne, Parkville, Australia.
Duncan MacGregorDepartment of Anatomical Pathology, The Royal Children's Hospital, Parkville, Australia.
Richard SafferyMurdoch Childrens Research Institute, The Royal Children's Hospital, Parkville, Australia.
German Cancer Research Center · DERoyal Children's Hospital · AUUniversity of Melbourne · AUDeakin University · AUUniversity of Otago · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Childhood pilocytic astrocytomas (PA) are low-grade tumours with an excellent prognosis. However, a minority, particularly those in surgically inaccessible locations, have poorer long-term outcome. At present, it is unclear whether anatomical location in isolation, or in combination with underlying biological variation, determines clinical behaviour. Here, we have tested the utility of DNA methylation profiling to inform tumour biology and to predict behaviour in paediatric PA. Genome-wide DNA methylation profiles were generated for 117 paediatric PAs. Using a combination of analyses, we identified DNA methylation variants specific to tumour location and predictive of behaviour. Receiver-operating characteristic analysis was used to test the predictive utility of clinical and/or DNA methylation features to classify tumour behaviour at diagnosis. Unsupervised analysis distinguished three methylation clusters associated with tumour location (cortical, midline and infratentorial). Differential methylation of 5404 sites identified enrichment of genes involved in 'embryonic nervous system development'. Specific hypermethylation of NEUROG1 and NR2E1 was identified as a feature of cortical tumours. A highly accurate method to classify tumours according to behaviour, which combined three clinical features (age, location and extent of resection) and methylation level at a single site, was identified. Our findings show location-specific epigenetic profiles for PAs, potentially reflecting their cell type of origin. This may account for differences in clinical behaviour according to location independent of histopathology. We also defined an accurate method to predict tumour behaviour at diagnosis. This warrants further testing in similar patient cohorts.

Indexed as

DNA MethylationAstrocytomaBrain NeoplasmsChildGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMutationNeoplasm Recurrence, LocalOrphan Nuclear ReceptorsPrognosisProgression-Free SurvivalProto-Oncogene Proteins B-rafReceptors, Cytoplasmic and NuclearBRAF protein, humanNR2E1 protein, humanOrphan Nuclear ReceptorsProto-Oncogene Proteins B-rafReceptors, Cytoplasmic and NuclearDNA methylationpilocytic astrocytoma

Identifiers

PMID28388012
PMCPMC6068350
OpenAlexW2604562123

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Registered trials

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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.