Evidence map›Paper›PMID 41870794›Full record

ArticleJournal of neuro-oncology2026

Prognostic impact of radiotherapy timing in WHO grade 2 and 3 meningiomas utilizing an integrated molecular-morphologic classification.

Claire Delbridge, Helen X Hou, Thomas Hielscher, Benedikt Wiestler, Chiara Negwer, Lena Schenck, Jan Peeken, Christian Diehl, Kai Borm, Sandro Krieg and 11 more

Abstract read
In one paragraph

Article in Journal of neuro-oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

21 authors.

Claire Delbridge *Department of Neuropathology and Pathology, School of Medicine, TU Munich, 81675, München, Germany.
Helen X Hou *Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675, Munich, Germany. helen.hou@tum.de.
Thomas HielscherDepartment of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Benedikt WiestlerDepartment of Neuroradiology, Klinikum rechts der Isar, TU Munich, 81675, München, Germany.
Chiara NegwerDepartment of Neurosurgery, Klinikum rechts der Isar, TU Munich, 81675, München, Germany.
Lena SchenckDepartment of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675, Munich, Germany.
Jan PeekenDepartment of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675, Munich, Germany.
Christian DiehlDepartment of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675, Munich, Germany.
Kai BormDepartment of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675, Munich, Germany.
Sandro KriegDepartment of Neurosurgery, Klinikum rechts der Isar, TU Munich, 81675, München, Germany.
Kaywan A AftahyDepartment of Neurosurgery, International Neuroscience Institute, Hannover, Germany.
Sophia M LeissDepartment of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675, Munich, Germany.
Friederike Schmidt-GrafDepartment of Neurology, Klinikum rechts der Isar, TU Munich, 81675, München, Germany.
Meike MitsdörfferDepartment of Neurology, Klinikum rechts der Isar, TU Munich, 81675, München, Germany.
Igor YakushevDepartment of Nuclear Medicine, Klinikum rechts der Isar, TU Munich, 81675, München, Germany.
Andreas Von DeimlingDepartment of Neuropathology, Institute of Pathology, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany.
Jens GemptDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, 20251, Hamburg, Germany.
Bernhard MeyerDepartment of Neurosurgery, Klinikum rechts der Isar, TU Munich, 81675, München, Germany.
Stephanie E CombsDepartment of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675, Munich, Germany.
Felix Sahm *Department of Neuropathology, Institute of Pathology, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany.
Denise Bernhardt *Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMeningiomas (MNGs) occur in different histopathological subtypes. The WHO grading system classifies a subset as grade 2 and 3, indicating a more aggressive course. Recent advances in risk stratification introduces an integrated molecular-morphological score (IntS), offering improved risk prediction over the traditional WHO classification. This study aims to evaluate the prognostic utility of IntS in the context of the timing of adjuvant radiotherapy (RT).

methodsThis retrospective study analyzed 55 patients with histologically diagnosed WHO grade 2 and 3 MNG treated with adjuvant RT. Molecular analyses using Illumina 450k Human BeadChip and Illumina 850k EPIC stratified patients into 3 risk groups (low, intermediate and high) using an integrated model that combines WHO grading, Copy Number Variations (CNVs), and Methylation Families (MF).

resultsAfter 5 years a local failure-free survival (LFFS) rate of 0% in MF-malignant MNG contrasts with a LFFS rate of 77% and 58% in MF-benign and MF-intermediate MNG. A significant correlation between CNVs and LFFS was also observed in the adjuvant setting. The IntS model revealed distinct 5-year LFFS disparities across different risk categories, underscoring the impact of combined morphological and molecular characteristics on outcome.

conclusionThe integration of DNA-methylation and CNV-profiles into the IntS unified risk score offer an enhanced prognostic differentiation of MNG patients. This approach shows a promising direction for guiding the optimal timing of adjuvant RT, offering a path toward more tailored treatment strategies for meningiomas.

Indexed as

Meningeal NeoplasmsMeningiomaAdultAgedDNA Copy Number VariationsDNA MethylationFemaleFollow-Up StudiesHumansMaleMiddle AgedNeoplasm GradingPrognosisRadiotherapy, AdjuvantRetrospective StudiesWorld Health OrganizationAdjuvant radiation therapyDNA methylationMeningiomasMolecular classificationRisk stratification

Identifiers

PMID41870794
PMCPMC13009098

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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.