Evidence map›Paper›PMID 38244080›Full record

ArticleActa neuropathologica2024

Temporal change of DNA methylation subclasses between matched newly diagnosed and recurrent glioblastoma.

Richard Drexler, Robin Khatri, Ulrich Schüller, Alicia Eckhardt, Alice Ryba, Thomas Sauvigny, Lasse Dührsen, Malte Mohme, Tammo Ricklefs, Helena Bode and 14 more

Open access · hybridAbstract read
In one paragraph

Article in Acta neuropathologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
8.8field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Promoter Methylation-Expression Coupling of Gliogenesis Genes inInternational journal of molecular sciences · 2026
    Article
  6. Article
  7. Metabolism of myeloid cells in brain tumors.Frontiers in immunology · 2026
    Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Neurooncology: 2025 update.Free neuropathology · 2025
    Review
  15. Article
  16. CTDSP2::GLI1 fusion in glioblastoma: A diagnostic challenge through tumor heterogeneity.Journal of neuropathology and experimental neurology · 2024
    Article
  17. 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

24 authors at 4 institutions in 2 countries.

Richard Drexler *Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.ORCID 0000-0002-4830-3671
Robin Khatri *Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Ulrich SchüllerInstitute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Alicia EckhardtDepartment of Pediatric Hematology and Oncology, Research Institute Children's Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Alice RybaDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Thomas SauvignyDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Lasse DührsenDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Malte MohmeDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Tammo RicklefsDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Helena BodeResearch Institute Children's Cancer Center Hamburg, Hamburg, Germany.
Fabian HausmannInstitute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Tobias B HuberIII. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Stefan BonnInstitute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Hannah VoßSection of Mass Spectrometric Proteomics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Julia E NeumannInstitute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Dana SilverbushBroad Institute of Harvard and MIT, Cambridge, MA, USA.
Volker HovestadtBroad Institute of Harvard and MIT, Cambridge, MA, USA.
Mario L SuvàBroad Institute of Harvard and MIT, Cambridge, MA, USA.
Katrin LamszusDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Jens GemptDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Manfred WestphalDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Dieter H HeilandDepartment of Neurosurgery, Medical Center University of Freiburg, Freiburg, Germany.
Sonja Hänzelmann *Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Franz L Ricklefs *Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany. f.ricklefs@uke.de.
Universität Hamburg · DEBroad Institute · USKinderkrebs-Zentrum Hamburg · DEUniversity of Freiburg · DE

Funding

Deutsche Forschungsgemeinschaft SFB 1192 B8Deutsche Forschungsgemeinschaft SFB 1192 C3
6 · The paper itself

Abstract

The longitudinal transition of phenotypes is pivotal in glioblastoma treatment resistance and DNA methylation emerged as an important tool for classifying glioblastoma phenotypes. We aimed to characterize DNA methylation subclass heterogeneity during progression and assess its clinical impact. Matched tissues from 47 glioblastoma patients were subjected to DNA methylation profiling, including CpG-site alterations, tissue and serum deconvolution, mass spectrometry, and immunoassay. Effects of clinical characteristics on temporal changes and outcomes were studied. Among 47 patients, 8 (17.0%) had non-matching classifications at recurrence. In the remaining 39 cases, 28.2% showed dominant DNA methylation subclass transitions, with 72.7% being a mesenchymal subclass. In general, glioblastomas with a subclass transition showed upregulated metabolic processes. Newly diagnosed glioblastomas with mesenchymal transition displayed increased stem cell-like states and decreased immune components at diagnosis and exhibited elevated immune signatures and cytokine levels in serum. In contrast, tissue of recurrent glioblastomas with mesenchymal transition showed increased immune components but decreased stem cell-like states. Survival analyses revealed comparable outcomes for patients with and without subclass transitions. This study demonstrates a temporal heterogeneity of DNA methylation subclasses in 28.2% of glioblastomas, not impacting patient survival. Changes in cell state composition associated with subclass transition may be crucial for recurrent glioblastoma targeted therapies.

Indexed as

Brain NeoplasmsGlioblastomaDNA MethylationHumansNeoplasm Recurrence, LocalSurvival AnalysisDeconvolutionDNA methylationGliomaOutcomeSubgroupTemporal

Identifiers

PMID38244080
PMCPMC10799798
OpenAlexW4391044479

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.