Evidence map›Paper›PMID 28532485›Full record

ArticleActa neuropathologica communications2017

Multidimensional scaling of diffuse gliomas: application to the 2016 World Health Organization classification system with prognostically relevant molecular subtype discovery.

Patrick J Cimino, Michael Zager, Lisa McFerrin, Hans-Georg Wirsching, Hamid Bolouri, Bettina Hentschel, Andreas von Deimling, David Jones, Guido Reifenberger, Michael Weller and 1 more

Abstract readValidation Study
In one paragraph

Article in Acta neuropathologica communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 1 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

83 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Effects of copper overload on mitochondrial parameters in GBM-1, U-87 MG, and C6 glioma cell lines.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Total whole-arm chromosome losses predict malignancy in human cancer.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Prognostic Impact ofCancers · 2024
    Article

23 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

11 authors.

Patrick J CiminoDepartment of Pathology, Division of Neuropathology, University of Washington School of Medicine, 325 9th Avenue, Box 359791, Seattle, WA, 98104, USA. pjjc@uw.edu.ORCID 0000-0003-0441-4502
Michael ZagerDivision of Human Biology, and Seattle Tumor and Translational Research, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Mailstop C3-168, Seattle, WA, 98109, USA.
Lisa McFerrinDivision of Human Biology, and Seattle Tumor and Translational Research, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Mailstop C3-168, Seattle, WA, 98109, USA.
Hans-Georg WirschingDivision of Human Biology, and Seattle Tumor and Translational Research, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Mailstop C3-168, Seattle, WA, 98109, USA.
Hamid BolouriDivision of Human Biology, and Seattle Tumor and Translational Research, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Mailstop C3-168, Seattle, WA, 98109, USA.
Bettina HentschelInstitute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.
Andreas von DeimlingDepartment of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany.
David JonesDepartment of Pediatrics, Division of Pediatric Neurooncology, Heidelberg University Hospital, Heidelberg, Germany.
Guido ReifenbergerDepartment of Neuropathology, Heinrich Heine University, Duesseldorf, Germany.
Michael WellerDepartment of Neurology and Brain Tumor Center, University Hospital and University of Zurich, Zurich, Switzerland.
Eric C HollandDivision of Human Biology, and Seattle Tumor and Translational Research, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Mailstop C3-168, Seattle, WA, 98109, USA. eholland@fredhutch.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent updating of the World Health Organization (WHO) classification of central nervous system (CNS) tumors in 2016 demonstrates the first organized effort to restructure brain tumor classification by incorporating histomorphologic features with recurrent molecular alterations. Revised CNS tumor diagnostic criteria also attempt to reduce interobserver variability of histological interpretation and provide more accurate stratification related to clinical outcome. As an example, diffuse gliomas (WHO grades II-IV) are now molecularly stratified based upon isocitrate dehydrogenase 1 or 2 (IDH) mutational status, with gliomas of WHO grades II and III being substratified according to 1p/19q codeletion status. For now, grading of diffuse gliomas is still dependent upon histological parameters. Independent of WHO classification criteria, multidimensional scaling analysis of molecular signatures for diffuse gliomas from The Cancer Genome Atlas (TCGA) has identified distinct molecular subgroups, and allows for their visualization in 2-dimensional (2D) space. Using the web-based platform Oncoscape as a tool, we applied multidimensional scaling-derived molecular groups to the 2D visualization of the 2016 WHO classification of diffuse gliomas. Here we show that molecular multidimensional scaling of TCGA data provides 2D clustering that represents the 2016 WHO classification of diffuse gliomas. Additionally, we used this platform to successfully identify and define novel copy-number alteration-based molecular subtypes, which are independent of WHO grading, as well as predictive of clinical outcome. The prognostic utility of these molecular subtypes was further validated using an independent data set of the German Glioma Network prospective glioblastoma patient cohort.

Indexed as

AdultAlgorithmsBrain NeoplasmsClinical Decision-MakingCluster AnalysisCohort StudiesDNA Copy Number VariationsGliomaHumansMiddle AgedNeoplasm GradingPrognosisSurvival AnalysisWorld Health OrganizationAstrocytomaGlioblastomaGliomaIsocitrate Dehydrogenase (IDH)OligodendrogliomaOncoscapeWorld Health Organization (WHO)

Identifiers

PMID28532485
PMCPMC5439117

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.