Imaging-mediated genetic effects link brain microstructure, metabolic profiles, and regional transcription to glioma susceptibility - Report - MDSpire

Imaging-mediated genetic effects link brain microstructure, metabolic profiles, and regional transcription to glioma susceptibility

  • By

  • Yufan Wu

  • Xuezhen Wang

  • Xinkai Wang

  • Lin Chen

  • Shiqi Huang

  • Mingwei Zhang

  • Jinsheng Hong

  • July 3, 2026

  • 0 min

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Genetic Influences on Glioma Risk: Connections Between Brain Microstructure

Overview

This study identifies genetic links and mediation mechanisms between glioma susceptibility and brain microstructure, metabolic profiles, and gene expression. Key findings include the association of HEATR3 expression with increased glioma risk and the role of specific white matter IDPs in mediating this risk.

Background

Glioma is the most common primary malignant brain tumor in adults, with a poor prognosis despite advancements in treatment. Understanding the genetic and biological factors influencing glioma risk is important. This study explores the interplay between brain structure, metabolism, and gene expression in glioma development.

Data Highlights

Analysis TypeFindings
TSMR6 IDPs significantly associated with glioma subtypes
SMRElevated HEATR3 expression increases glioma risk
Mediation AnalysisHEATR3 effect partially mediated by white matter IDPs
Metabolic AnalysisHigher orotate levels significantly increase GBM risk

Key Findings

  • Elevated intracellular volume fraction (ICVF) in the corpus callosum and cingulum increases glioma risk.
  • Increased mean diffusivity (MD) in the posterior limb of the right internal capsule is protective against glioma.
  • HEATR3 expression is significantly upregulated in glioma and correlates with poor patient prognosis.
  • Higher levels of orotate in plasma, CSF, and brain tissue significantly increase GBM risk.
  • Specific white matter IDPs mediate the effect of HEATR3 on glioma risk.

Clinical Implications

The findings indicate that brain microstructural changes and metabolic profiles may be relevant to glioma risk.

Conclusion

This study highlights the interactions between genetic, structural, and metabolic factors in glioma development.

Related Resources & Content

  1. Neuroscience of Cancer and Its Impact on Glioma Management, 2024 -- Springer
  2. Exploring Gliomas: Insights from Experimental Models and Clinical Realities, 2017 -- Acta Neuropathologica
  3. Genetic risk variants in the CDKN2A/B, RTEL1 and EGFR genes are associated with somatic biomarkers in glioma, 2016 -- Journal of Neuro-Oncology
  4. FDA approves vorasidenib for Grade 2 astrocytoma or oligodendroglioma with a susceptible IDH1 or IDH2 mutation, 2024 -- FDA
  5. Frontiers in Oncology — Beyond synapses non-synaptic neural microenvironment interactions remodel circuits and drive glioma progression
  6. Radiation Therapy for WHO Grade 4 Adult-Type Diffuse Glioma: An ASTRO Clinical Practice Guideline
  7. Therapy for Diffuse Astrocytic and Oligodendroglial Tumors in Adults: ASCO-SNO Guideline Rapid Recommendation Update
  8. Updated EANO guideline on rational molecular testing of gliomas
  9. FDA approves vorasidenib for Grade 2 astrocytoma or oligodendroglioma with a susceptible IDH1 or IDH2 mutation | FDA
  10. Time-dependent diffusion MRI–based microstructural mapping for predicting IDH mutation status in glioma: A multicenter study - ScienceDirect
  11. Data-driven probabilistic mapping of the spatial and molecular landscape of glioma - PubMed
  12. The Role of DCE-MRI in Radiogenomics for Glioblastoma: A Systematic Review | Egyptian Journal of Radiology and Nuclear Medicine | Springer Nature Link

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