ArticleFrontiers in oncology2022
LC-MS-Based Urine Metabolomics Analysis for the Diagnosis and Monitoring of Medulloblastoma.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- From Complexity to Clarity: Expanding Metabolome Coverage With Innovative Analytical Strategies.Journal of separation science · 2025Review
- Metabolomic profiling of childhood medulloblastoma: contributions and relevance to diagnosis and molecular subtyping.Journal of cancer research and clinical oncology · 2024Review
- Urine metabolites and viral pneumonia among children: a case-control study in China.Translational pediatrics · 2023Article
- Small molecule metabolites: discovery of biomarkers and therapeutic targets.Signal transduction and targeted therapy · 2023Review
- Mass Spectrometry Contribution to Pediatric Cancers Research.Medicina (Kaunas, Lithuania) · 2023Review
- Global metabolomics study on the pathogenesis of pediatric medulloblastoma via UPLC- Q/E-MS/MS.PloS one · 2023Article
- Metabolomic profiling and stable isotope tracing of human schwannomas: A novel perspective on tumor biology and radiation response.Neuro-oncology advancesArticle
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9 authors.
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Abstract
Medulloblastoma (MB) is the most common type of brain cancer in pediatric patients. Body fluid biomarkers will be helpful for clinical diagnosis and treatment. In this study, liquid chromatography-mass spectrometry (LC-MS)-based metabolomics was used to identify specific urine metabolites of MB in a cohort, including 118 healthy controls, 111 MB patients, 31 patients with malignant brain cancer, 51 patients with benign brain disease, 29 MB patients 1 week postsurgery and 80 MB patients 1 month postsurgery. The results showed an apparent separation for MB vs. healthy controls, MB vs. benign brain diseases, and MB vs. other malignant brain tumors, with AUCs values of 0.947/0.906, 0.900/0.873, and 0.842/0.885, respectively, in the discovery/validation group. Among all differentially identified metabolites, 4 metabolites (tetrahydrocortisone, cortolone, urothion and 20-oxo-leukotriene E4) were specific to MB. The analysis of these 4 metabolites in pre- and postoperative MB urine samples showed that their levels returned to a healthy state after the operation (especially after one month), showing the potential specificity of these metabolites for MB. Finally, the combination of two metabolites, tetrahydrocortisone and cortolone, showed diagnostic accuracy for distinguishing MB from non-MB, with an AUC value of 0.851. Our data showed that urine metabolomics might be used for MB diagnosis and monitoring.
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