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Now you see me; now you don't
1Departments of Neurosurgery, Cell and Developmental Biology, and Biomedical Engineering, University of Michigan, Ann Arbor, MI 48104, USA.
Science Translational Medicine
|October 8, 2025
Summary
Multiomics analysis of serial glioblastoma biopsies helps distinguish pseudoprogression from true tumor progression. This approach aids in accurate diagnosis and treatment planning for brain tumor patients.
Area of Science:
- Neuro-oncology
- Genomics
- Proteomics
Background:
- Glioblastoma is an aggressive brain tumor with challenging treatment monitoring.
- Differentiating tumor progression from treatment effects like pseudoprogression is critical for patient management.
Purpose of the Study:
- To investigate the utility of multiomics profiling in serial glioblastoma biopsies.
- To establish methods for distinguishing true tumor progression from pseudoprogression.
Main Methods:
- Serial biopsies from glioblastoma patients.
- Application of multiomics techniques including genomics and proteomics.
- Comparative analysis of molecular data from different time points.
Main Results:
- Multiomics data revealed distinct molecular signatures differentiating pseudoprogression from true tumor progression.
- Specific biomarkers were identified that correlate with tumor growth versus treatment response.
Conclusions:
- Multiomics analysis of serial glioblastoma biopsies is a powerful tool for accurate progression assessment.
- This approach can improve clinical decision-making and therapeutic strategies in glioblastoma care.
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