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

Meningiomas (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). This 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). After 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. The 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.

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Journal
Journal of Neuro-Oncology
Published
2026-03-23
DOI
https://doi.org/10.1007/s11060-026-05508-4
Primary Topic
Meningioma and schwannoma management
Type
article
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article

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

Chiara Negwer, Claire Delbridge, Kai Joachim Borm, Bernhard Meyer et al.
Journal of Neuro-Oncology
Meningioma and schwannoma management
article

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

Chiara Negwer, Claire Delbridge, Kai Joachim Borm, Bernhard Meyer, Helen X. Hou, Denise Bernhardt, Jan Caspar Peeken, Igor Yakushev, Jens Gempt, Thomas Hielscher, Christian Diehl, Sophia M. Leiss, Friederike Schmidt-Graf, Sandro M. Krieg, Meike Mitsdörffer, Andreas Von Deimling, Stephanie E. Combs, Benedikt Wiestler, Lena Schenck, Felix Sahm, Kaywan A. Aftahy
article en

Abstract

Meningiomas (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). This 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). After 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. The 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.

Journal of Neuro-OncologyVol. 177(2)
Universität Hamburg (DE), German Cancer Research Center (DE), Heidelberg University (DE), TUM Klinikum (DE), International Neuroscience Institute (DE), University Medical Center Hamburg-Eppendorf (DE), München Klinik (DE), German Marine Research Consortium (DE), Institute of Groundwater Ecology (DE), Institut für Urheber- und Medienrecht (DE), Deutsches Konsortium für Translationale Krebsforschung (DE), Technical University of Munich (DE)
Good health and well-being
Openalex Percentile: Top 15%
Meningioma and schwannoma management
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