Leveraging proteomics and machine learning for mechanism and biomarker discovery on glioma progression and transformation: from LGG to GBM.

Second, the expression of most key enzymes involved in glucose aerobic oxidation and glycolysis in the UT-A group demonstrated an increasing trend compared to the UT-B group, indicating that recurrent lesions had more active glucose metabolism and stronger glucose-supply energy requirement than their matched primary lesions in histological un-transformation groups.

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