Evidence map›Paper›PMID 31806041›Full record

ArticleClinical epigenetics2019

The central nervous system tumor methylation classifier changes neuro-oncology practice for challenging brain tumor diagnoses and directly impacts patient care.

Shirin Karimi, Jeffrey A Zuccato, Yasin Mamatjan, Sheila Mansouri, Suganth Suppiah, Farshad Nassiri, Phedias Diamandis, David G Munoz, Kenneth D Aldape, Gelareh Zadeh

Abstract read
In one paragraph

Article in Clinical epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

61 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  11. The Spectrum of IDH- and H3-Wildtype High-Grade Glioma Subgroups Occurring across Teenage and Young Adult Patient Populations.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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1 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.

Shirin KarimiMacFeeters-Hamilton Center for Neuro-Oncology, Princess Margaret Cancer Center, Princess Margaret Cancer Research Tower, 101 College Street, 14th floor, Room 601, Toronto, ON, M5G 1L7, Canada.
Jeffrey A ZuccatoDivision of Neurosurgery, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Yasin MamatjanMacFeeters-Hamilton Center for Neuro-Oncology, Princess Margaret Cancer Center, Princess Margaret Cancer Research Tower, 101 College Street, 14th floor, Room 601, Toronto, ON, M5G 1L7, Canada.
Sheila MansouriMacFeeters-Hamilton Center for Neuro-Oncology, Princess Margaret Cancer Center, Princess Margaret Cancer Research Tower, 101 College Street, 14th floor, Room 601, Toronto, ON, M5G 1L7, Canada.
Suganth SuppiahDivision of Neurosurgery, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Farshad NassiriDivision of Neurosurgery, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Phedias DiamandisMacFeeters-Hamilton Center for Neuro-Oncology, Princess Margaret Cancer Center, Princess Margaret Cancer Research Tower, 101 College Street, 14th floor, Room 601, Toronto, ON, M5G 1L7, Canada.
David G MunozDepartment of Laboratory Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.
Kenneth D AldapeMacFeeters-Hamilton Center for Neuro-Oncology, Princess Margaret Cancer Center, Princess Margaret Cancer Research Tower, 101 College Street, 14th floor, Room 601, Toronto, ON, M5G 1L7, Canada. kenneth.aldape@nih.gov.
Gelareh ZadehDivision of Neurosurgery, University Health Network, University of Toronto, Toronto, Ontario, Canada. gelareh.zadeh@uhn.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMolecular signatures are being increasingly incorporated into cancer classification systems. DNA methylation-based central nervous system (CNS) tumor classification is being recognized as having the potential to aid in cases of difficult histopathological diagnoses. Here, we present our institutional clinical experience in integrating a DNA-methylation-based classifier into clinical practice and report its impact on CNS tumor patient diagnosis and treatment.

methodsProspective case review was undertaken at CNS tumor board discussions over a 3-year period and 55 tumors with a diagnosis that was not certain to two senior neuropathologists were recommended for methylation profiling based on diagnostic needs. Tumor classification, calibrated scores, and copy number variant (CNV) plots were obtained for all 55 cases. These results were integrated with histopathological findings to reach a final diagnosis. We retrospectively reviewed each patient's clinical course to determine final neuro-pathology diagnoses and the impact of methylation profiling on their clinical management, with a focus on changes that were made to treatment decisions.

resultsFollowing methylation profiling, 46 of the 55 (84%) challenging cases received a clinically relevant diagnostic alteration, with two-thirds having a change in the histopathological diagnosis and the other one-third obtaining clinically important molecular diagnostic or subtyping alterations. WHO grading changed by 27% with two-thirds receiving a higher grade. Patient care was directly changed in 15% of all cases with major changes in clinical decision-making being made for these patients to avoid unnecessary or insufficient treatment.

conclusionsThe integration of methylation-based CNS tumor classification into diagnostics has a substantial clinical benefit for patients with challenging CNS tumors while also avoiding unnecessary health care costs. The clinical impact shown here may prompt the expanded use of DNA methylation profiling for CNS tumor diagnostics within prominent neuro-oncology centers globally.

Indexed as

DNA Copy Number VariationsDNA MethylationAdultAgedCentral Nervous System NeoplasmsClinical Decision-MakingEpigenesis, GeneticFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedOligonucleotide Array Sequence AnalysisPatient CareProspective StudiesRetrospective StudiesCentral nervous systemEpigeneticsNeuro-oncologyTranslational research

Identifiers

PMID31806041
PMCPMC6896594

What OpenQuestion holds

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LicenceCC BY
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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.