Tissue metabolites in diffuse glioma and their modulations by IDH1 mutation, histology, and treatment

Christoph Trautwein1, Laimdota Zizmare1, Irina Mäurer2,3

  • 1Department of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center.

JCI Insight
|December 23, 2021
PubMed

Insights

This study presents a valuable resource of tissue metabolites in diffuse glioma, revealing how IDH1 mutation, histology, and treatment impact them. These metabolites show potential as novel biomarkers for predicting patient survival and refining glioma classification.

Area of Science:

  • Oncometabolomics
  • Cancer Metabolism
  • Neuro-oncology

Background:

  • The role of metabolism in cancer is highlighted by oncometabolites like 2-hydroxyglutarate in IDH1-mutated tumors.
  • A need exists for comprehensive databases detailing tissue metabolites affected by IDH1 mutations in diffuse gliomas.

Purpose of the Study:

  • To create a resource of tissue metabolites in diffuse glioma.
  • To investigate the modulation of these metabolites by IDH1 mutation status, histology, and treatment.
  • To identify metabolite biomarkers correlating with patient survival.

Main Methods:

  • NMR-based metabolomics and RNA-Seq on 101 diffuse glioma tissue samples from 73 patients.
  • Analysis of metabolic profiles based on IDH1 mutation status, tumor entity, and longitudinal treatment data.
  • Statistical analyses including Cox regressions and Kaplan-Meier survival analyses.

Main Results:

  • Identification of specific metabolites and pathways modulated by IDH1 mutation and glioma histology.
  • Metabolic profiles of untreated and treated glioma samples at progression were characterized.
  • Tissue metabolites were found to correlate significantly with progression-free and overall survival.

Conclusions:

  • The study provides a novel resource for diffuse glioma metabolomics, offering insights into IDH1 mutation and treatment effects.
  • Identified tissue metabolites represent potential prognostic and surrogate biomarkers for patient stratification.
  • The findings pave the way for future clinical studies and advance the molecular understanding of glioma biology.

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