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Updated: Jul 8, 2025

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
Published on: September 13, 2022
Cortical myelin and thickness mapping provide insights into whole-brain tumor burden in diffuse midline glioma
Simin Zhang1,2, Xibiao Yang3,4, Qiaoyue Tan5
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China.
Abstract:
Systemic infiltration is a hallmark of diffuse midline glioma pathogenesis, which can trigger distant disturbances in cortical structure. However, the existence and effects of these changes have been underexamined. This study aimed to investigate whole-brain cortical myelin and thickness alternations induced by diffuse midline glioma. High-resolution T1- and T2-weighted images were acquired from 90 patients with diffuse midline glioma with H3 K27-altered and 64 patients with wild-type and 86 healthy controls. Cortical thickness and myelin content was calculated using Human Connectome Project pipeline. Significant differences in cortical thickness and myelin content were detected among groups. Short-term survival prediction model was constructed using automated machine learning. Compared with healthy controls, diffuse midline glioma with H3 K27-altered patients showed significantly reduced cortical myelin in bilateral precentral gyrus, postcentral gyrus, insular, parahippocampal gyrus, fusiform gyrus, and cingulate gyrus, whereas diffuse midline glioma with H3 K27 wild-type patients exhibited well-preserved myelin content. Furtherly, when comparing diffuse midline glioma with H3 K27-altered and diffuse midline glioma with H3 K27 wild-type, the decreased cortical thickness in parietal and occipital regions along with demyelination in medial orbitofrontal cortex was observed in diffuse midline glioma with H3 K27-altered. Notably, a combination of cortical features and tumor radiomics allowed short-term survival prediction with accuracy 0.80 and AUC 0.84. These findings may aid clinicians in tailoring therapeutic approaches based on cortical characteristics, potentially enhancing the efficacy of current and future treatment modalities.
Insights
Diffuse midline glioma, particularly H3 K27-altered types, causes significant cortical myelin loss and thickness changes. These brain alterations can help predict patient survival, aiding clinical treatment strategies.
Area of Science:
- Neuro-oncology
- Neuroimaging
- Brain tumor pathogenesis
Background:
- Diffuse midline glioma (DMG) is characterized by systemic infiltration affecting distant cortical structures.
- Previous research has underexamined the specific cortical changes induced by DMG.
Purpose of the Study:
- To investigate whole-brain cortical myelin and thickness alterations in patients with diffuse midline glioma (DMG).
- To assess the potential of these cortical changes for short-term survival prediction.
Main Methods:
- Acquisition of high-resolution T1- and T2-weighted MRI scans from 90 DMG H3 K27-altered patients, 64 DMG H3 K27 wild-type patients, and 86 healthy controls.
- Calculation of cortical thickness and myelin content using the Human Connectome Project pipeline.
- Development of a short-term survival prediction model using automated machine learning, incorporating cortical features and tumor radiomics.
Main Results:
- DMG H3 K27-altered patients exhibited significantly reduced cortical myelin in multiple brain regions compared to controls.
- DMG H3 K27 wild-type patients showed largely preserved myelin content.
- DMG H3 K27-altered patients displayed decreased cortical thickness in parietal/occipital regions and demyelination in the medial orbitofrontal cortex compared to wild-type DMG.
- A combined model of cortical features and radiomics achieved 0.80 accuracy and 0.84 AUC for short-term survival prediction.
Conclusions:
- Diffuse midline glioma, especially H3 K27-altered, induces significant cortical demyelination and thickness changes.
- Cortical characteristics, combined with radiomics, offer a promising tool for predicting short-term survival in DMG patients.
- These findings can inform clinical management and therapeutic strategies for diffuse midline glioma.
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