ArticleScientific reports2024
Blood based metabolic markers of glioma from pre-diagnosis to surgery.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Label-Free SERS Analysis of Glioma Cells to Detect Drug Resistance Using Metabolic Phenylalanine Level.ACS measurement science au · 2026Article
- Causal Associations of Cerebrospinal Fluid and Circulating Metabolites With Malignant Brain Neoplasms: A Mendelian Randomization Analysis.Brain and behavior · 2026Article
- Temporal Integration of Serum Proteomics, Metabolomics and MRI Tumor Volumetrics via Deep Learning Identifies Systemic Mediators of Glioblastoma Response to Chemoradiotherapy.Research square · 2026Article
- Cancer neuroscience: illuminating the neural dimension of tumor biology.Scientific reports · 2025Article
- From Biomarker Discovery to Clinical Applications of Metabolomics in Glioblastoma.Metabolites · 2025Review
- Amino acid metabolism in glioblastoma pathogenesis, immune evasion, and treatment resistance.Cancer cell international · 2025Review
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Authors and funding
5 authors.
Funding
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Abstract
Gliomas are highly complex and metabolically active brain tumors associated with poor prognosis. Recent reports have found altered levels of blood metabolites during early tumor development, suggesting that tumor development could be detected several years before clinical manifestation. In this study, we performed metabolite analyses of blood samples collected from healthy controls and future glioma patients, up to eight years before glioma diagnosis, and on the day of glioma surgery. We discovered that metabolites related to early glioma development were associated with an increased energy turnover, as highlighted by elevated levels of TCA-related metabolites such as fumarate, malate, lactate and pyruvate in pre-diagnostic cases. We also found that metabolites related to glioma progression at surgery were primarily high levels of amino acids and metabolites of amino acid catabolism, with elevated levels of 11 amino acids and two branched-chain alpha-ketoacids, ketoleucine and ketoisoleucine. High amino acid turnover in glioma tumor tissue is currently utilized for PET imaging, diagnosis and delineation of tumor margins. By examining blood-based metabolic progression patterns towards disease onset, we demonstrate that this high amino acid turnover is also detectable in a simple blood sample. These findings provide additional insight of metabolic alterations during glioma development and progression.
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