Researchers identify medulloblastoma molecular groups using noninvasive MRI spectroscopy
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Research by Stefan Blüml, Ph.D., and colleagues investigates the use of in vivo proton magnetic resonance spectroscopy (¹H-MRS) to identify medulloblastoma molecular subgroups before surgery, a noninvasive alternative to surgical tumor sampling that could help support treatment planning at an earlier stage. The study is published in the journal Neuro-Oncology.
Medulloblastoma (MB) is the most common malignant brain tumor in children and comprises four molecularly distinct subgroups: WNT-activated, SHH-activated, group 3 and group 4. Accurate molecular classification is critical because these subgroups differ in prognosis, biology and treatment approaches.
While molecular subgrouping typically requires surgical tumor sampling followed by specialized molecular testing, there is increasing interest in developing noninvasive methods that can provide this information before surgery and support earlier treatment planning.
Blüml, Ph.D., and colleagues investigated whether in vivo proton magnetic resonance spectroscopy (¹H-MRS) could be used to distinguish medulloblastoma molecular subgroups before surgery. In this retrospective study, the investigators analyzed pretreatment MRS data from 95 pediatric patients with molecularly characterized medulloblastoma.
MRS was performed as part of routine MRI examinations and required only approximately five additional minutes of imaging time. Metabolic profiles were compared across WNT-activated, SHH-activated, group 3 and group 4 tumors to identify subgroup-specific metabolic signatures.
Distinct metabolic patterns were observed across the four molecular groups. Group 3 tumors demonstrated elevated taurine levels and higher creatine-to-choline ratios, while group 4 tumors showed increased choline and glycine/myo-inositol signals. WNT-activated tumors were characterized by elevated choline and γ-aminobutyric acid (GABA) levels but low taurine concentrations.
In contrast, SHH-activated tumors exhibited low creatine, low or absent taurine, and elevated glutamate-related metabolites. Significant differences in taurine, creatine, choline, glutamate and GABA helped distinguish the molecular subgroups. Importantly, the metabolic profiles detected by MRS were consistent with findings from previous ex vivo metabolomic studies, supporting the biological relevance of these imaging biomarkers.
To assess the predictive value of these metabolic signatures, the investigators applied machine learning approaches to classify tumors based on MRS-derived features. The resulting ensemble model demonstrated strong performance, achieving a mean cross-validated area under the curve (AUC) of 0.94.
Overall, this study demonstrates that in vivo ¹H-MRS can provide a rapid, noninvasive approach for presurgical molecular stratification of medulloblastoma. By integrating seamlessly into standard MRI protocols, MRS has the potential to complement tissue-based diagnostics, support risk-adapted treatment decisions and advance precision medicine for children with medulloblastoma.
More information
Benita Tamrazi et al, Metabolic and molecular correlates of medulloblastoma: Identification of molecular groups using in vivo 1H-MR spectroscopy, Neuro-Oncology (2026). DOI: 10.1093/neuonc/noag101
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Citation: Researchers identify medulloblastoma molecular groups using noninvasive MRI spectroscopy (2026, September 14) retrieved 14 September 2026 from https://medicalxpress.com/news/2026-09-medulloblastoma-molecular-groups-noninvasive-mri.html This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.