The Spatial Signature of Glioblastoma: A Statistical Re-Assessment of Anatomical Distribution Based on Methylation Subtypes
Tim Herrmann, Claire Delbridge, Michael Griessmair, Julian Canisius, Meike Mitsdoerffer, Denise Bernhardt, Isabel C. Hostettler, Chiara Negwer, Igor Yakushev, Bernhard Meyer, Friederike Schmidt-Graf, Stephanie E. Combs, Jan S. Kirschke, Benedikt Wiestler, Marie-Christin Metz
TL;DR
This study re-examines the spatial distribution of glioblastoma subtypes using methylation data, finding limited evidence for location-based patterns.
Contribution
The study provides a statistically rigorous reassessment of glioblastoma subtype localization using methylation profiling.
Findings
MES subtype's non-enhancing component clusters in the left frontal, insula, and temporal lobes.
No significant hemispheric preference was found for MGMT promoter methylation status.
Most subtype-specific localization patterns did not survive stringent statistical correction.
Abstract
Precise molecular characterization of glioblastoma (GB) is fundamental for accurate risk stratification and therapeutic planning. DNA methylation profiling reliably identifies key molecular features, including O(6)-methylguanine-DNA methyltransferase (MGMT) promoter methylation status and specific molecular subtypes, such as receptor tyrosine kinase (RTK) I and II, and the mesenchymal (MES) subtype. In this study, we investigated the hypothesized correlation between these molecular profiles and preferential tumor locations, which could reveal a link to underlying tumor biology. We analyzed 227 GB patients characterized by DNA methylation profiling. To map significant clusters of tumor occurrence across subtypes and subcomponents, we performed voxel-wise analysis of differential involvement, utilizing 500 permutations to correct for multiple comparisons. While uncorrected frequency…
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Taxonomy
TopicsGlioma Diagnosis and Treatment · Epigenetics and DNA Methylation · Radiomics and Machine Learning in Medical Imaging