Integrative Multi-Omics Analysis Reveals the Characteristic Metabolic Signature of Glioma and Enables Plasma-Based Liquid Biopsy - PubMed
5 hours ago
- #liquid biopsy
- #glioma
- #metabolomics
- Integrative multi-omics analysis identifies metabolic signatures in glioma.
- Study includes metabolomic and proteomic analyses of 189 tissue samples from 122 adult glioma patients.
- Nuclear magnetic resonance-based targeted metabolomic profiling performed on plasma samples from 430 participants.
- Key metabolic pathways affected in glioma: 'Alanine, aspartate, and glutamate metabolism' and 'TCA cycle'.
- Developed a liquid biopsy model with 7 plasma metabolites for glioma diagnosis.
- Model achieved high diagnostic accuracy (AUC = 0.964 for adult glioma, 0.925 for pediatric brain tumors).
- Higher sensitivity for glioma (0.885) compared to pancreatic cancer (0.800), indicating tumor selectivity.
- Plasma-based metabolomic classifier reflects core metabolic reprogramming in glioma.