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Quantitative Proteomic Analysis Reveals Different Functional Subtypes among IDH-Wildtype Glioblastoma
Michèle Amer Salem1, Jean-Louis Boulay1, Marie-Françoise Ritz1
1Brain Tumor Immuno-Therapy and Biology Laboratory, Department of Biomedicine, University Hospital of Basel, University of Basel, Hebelstrasse 20, Basel 4031, Switzerland.
Journal of Proteome Research
|June 16, 2025
Summary
Proteomics reveals distinct protein patterns in glioma subgroups, offering potential biomarkers for diagnosis and treatment. This study differentiates glioma subtypes based on molecular profiles and protein expression, aiding in understanding tumor biology.
Area of Science:
- Neuro-oncology
- Proteomics
- Molecular Biology
Background:
- Glioma subgroups lack clear proteomic biomarkers.
- Understanding molecular differences is crucial for targeted therapies.
Purpose of the Study:
- To identify proteomic biomarkers and pathways distinguishing glioma subgroups.
- To investigate functional differences between glioma subtypes.
Main Methods:
- Prospective collection of 82 glioma biopsies, classified into six methylomic subgroups (two LGG, four HGG).
- Liquid chromatography-mass spectrometry (LC-MS) for protein quantification.
- Functional validation using inhibitor response assays in patient-derived glioblastoma cells.
Main Results:
- 5057 proteins quantified; tumor grade and IDH mutation status were key discriminators.
- Distinct proteomic profiles identified for proneural, classical, and mesenchymal glioblastoma subgroups, linked to proliferation, migration, and metabolism.
- Overexpressed proteins correlated with survival and mRNA data; inhibition affected cell viability differently across subgroups.
Conclusions:
- Proteomic analysis provides insights into glioma subgroup metabolism and functional characteristics.
- Identified proteins serve as potential biomarkers for further investigation and therapeutic targeting.
- This study highlights the heterogeneity of glioblastoma at the proteomic level.
