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GLIO-Select: Machine Learning-Based Feature Selection and Weighting of Tissue and Serum Proteomic and Metabolomic Data Uncovers Sex Differences in Glioblastoma.

Int J Mol Sci · 2025 · PMC12072282 · PMID 40362575

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highly significantno p-value reported
Overall, both purine metabolism and fatty acid metabolism have been reported as highly significant in GBM, with emerging relationships to tumor resistance [ 53 , 54 , 55 ], and the current analysis supports that, indeed, several compounds may be captured in the serum and tumor tissue of patients with GBM, leading to potential mechanistic relationships for further research.

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