Evidence map›Paper›PMID 39902391›Full record

ReviewNeuro-oncology advances

cIMPACT-NOW update 9: Recommendations on utilization of genome-wide DNA methylation profiling for central nervous system tumor diagnostics.

Kenneth Aldape, David Capper, Andreas von Deimling, Caterina Giannini, Mark R Gilbert, Cynthia Hawkins, Jürgen Hench, Thomas S Jacques, David Jones, David N Louis and 9 more

Abstract readReview
In one paragraph

Review in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. "Updates on diagnostic and prognostic molecular biomarkers of CNS tumors".Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. RE: Comments on cIMPACT-NOW Update 11.Brain pathology (Zurich, Switzerland) · 2026
    Article
  19. Article
  20. Article
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

19 authors.

Kenneth AldapeLaboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, MarylandUSA.ORCID https://orcid.org/0000-0001-5119-7550
David CapperGerman Cancer Consortium (DKTK), Partner Site Berlin, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0000-0003-1945-497X
Andreas von DeimlingClinical Cooperation Unit Neuropathology, German Consortium for Translational Cancer Research (DKTK), Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0000-0002-5863-540X
Caterina GianniniDepartment of Biomedical and Neuromotor Sciences (DIBINEM), Alma Mater Studiorum, Bologna, Italy.ORCID https://orcid.org/0000-0003-2757-6782
Mark R GilbertNeuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0001-8935-1744
Cynthia HawkinsDepartment of Paediatric Laboratory Medicine, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0003-2618-4402
Jürgen HenchInstitut für Medizinische Genetik und Pathologie, Universitätsspital Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0002-9884-1240
Thomas S JacquesDepartment of Histopathology, Great Ormond Street Hospital for Children, London, UK.ORCID https://orcid.org/0000-0002-7833-2158
David JonesDivision of Pediatric Glioma Research, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany.
David N LouisDepartment of Pathology, Massachusetts General Hospital, Brigham and Women's Hospital, Harvard Medical School, Boston Massachusetts, USA.
Sabine MuellerDepartment of Pediatric, University of Zurich, Zürich, Switzerland.
Brent A OrrDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.ORCID https://orcid.org/0000-0003-0997-4728
MacLean NasrallahDivision of Neuropathology, Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-4861-0898
Stefan M PfisterDepartment of Pediatric Hematology and Oncology, Heidelberg University Hospital and National Center for Tumor Diseases (NCT), Heidelberg, Germany.ORCID https://orcid.org/0000-0002-5447-5322
Felix SahmClinical Cooperation Unit Neuropathology, German Consortium for Translational Cancer Research (DKTK), Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0000-0001-5441-1962
Matija SnuderlDepartment of Pathology, New York University Langone Health and Grossman School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0003-0752-0917
David SolomonDepartment of Pathology, University of California San Francisco, San Francisco, California, USA.
Pascale VarletDepartment of Neuropathology, GHU Paris - Psychiatry and Neuroscience, Sainte-Anne Hospital, Paris, France.ORCID https://orcid.org/0000-0002-8164-1517
Pieter WesselingPrincess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide DNA methylation signatures correlate with and distinguish central nervous system (CNS) tumor types. Since the publication of the initial CNS tumor DNA methylation classifier in 2018, this platform has been increasingly used as a diagnostic tool for CNS tumors, with multiple studies showing the value and utility of DNA methylation-based classification of CNS tumors. A Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy (cIMPACT-NOW) Working Group was therefore convened to describe the current state of the field and to provide advice based on lessons learned to date. Here, we provide recommendations for the use of DNA methylation-based classification in CNS tumor diagnostics, emphasizing the attributes and limitations of the modality. We emphasize that the methylation classifier is one diagnostic tool to be used alongside previously established diagnostic tools in a fully integrated fashion. In addition, we provide examples of the inclusion of DNA methylation data within the layered diagnostic reporting format endorsed by the World Health Organization (WHO) and the International Collaboration on Cancer Reporting. We emphasize the need for backward compatibility of future platforms to enable accumulated data to be compatible with new versions of the array. Finally, we outline the specific connections between methylation classes and CNS WHO tumor types to aid in the interpretation of classifier results. It is hoped that this update will assist the neuro-oncology community in the interpretation of DNA methylation classifier results to facilitate the accurate diagnosis of CNS tumors and thereby help guide patient management.

Indexed as

CNS tumorsDNA methylation profilingmolecular classificationneuropathology

Identifiers

PMID39902391
PMCPMC11788596

What OpenQuestion holds

Textmetadata
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.