ArticleScientific reports2018
Tissue metabolite profiles for the characterisation of paediatric cerebellar tumours.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 38 citations in OpenAlex.
- Metabolic Landscape and Emerging Therapeutic Potential in Pediatric and Adult Gliomas.International journal of molecular sciences · 2026Review
- NMR-Based Metabolomic Profiling for Brain Cancer Diagnosis and Treatment Guidance.Metabolites · 2025Review
- Accurate Paediatric Brain Tumour Classification Through Improved Quantitative Analysis ofNMR in biomedicine · 2025Article
- The EIF4EBP1 gene encoding 4EBP1 is transcriptionally upregulated by MYC and linked to shorter survival in medulloblastoma.Cell death discovery · 2025Article
- Metabolomic profiling of childhood medulloblastoma: contributions and relevance to diagnosis and molecular subtyping.Journal of cancer research and clinical oncology · 2024Review
- Review of the microbiome and metabolic pathways associated with psychoneurological symptoms in children with cancer.Asia-Pacific journal of oncology nursing · 2024Review
- Metabolite profiles of medulloblastoma for rapid and non-invasive detection of molecular disease groups.EBioMedicine · 2024Article
- Developmental basis of SHH medulloblastoma heterogeneity.Nature communications · 2024Article
- Monitoring central nervous system tumour metabolism using cerebrospinal fluid.Frontiers in oncology · 2024Review
- miRNA-211 maintains metabolic homeostasis in medulloblastoma through its target gene long-chain acyl-CoA synthetase 4.Acta neuropathologica communications · 2023Article
- Review
- Exceptionally rare IDH1-mutant adult medulloblastoma with concurrent GNAS mutation revealed by in vivo magnetic resonance spectroscopy and deep sequencing.Acta neuropathologica communications · 2023Article
- Identification of Therapeutic Targets for Medulloblastoma by Tissue-Specific Genome-Scale Metabolic Model.Molecules (Basel, Switzerland) · 2023Article
- Global metabolomics study on the pathogenesis of pediatric medulloblastoma via UPLC- Q/E-MS/MS.PloS one · 2023Article
- Risk factors for postresection shunting in children with suprasellar tumor: a retrospective analysis of 124 patients.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2022Article
- Medulloblastoma cerebrospinal fluid reveals metabolites and lipids indicative of hypoxia and cancer-specific RNAs.Acta neuropathologica communications · 2022Article
- LC-MS-Based Urine Metabolomics Analysis for the Diagnosis and Monitoring of Medulloblastoma.Frontiers in oncology · 2022Article
- Magnetic Resonance Imaging in the Contemporary Management of Medulloblastoma: Current and Emerging Applications.Methods in molecular biology (Clifton, N.J.) · 2022Review
- Integrated Metabolomics and Transcriptomics Using an Optimised Dual Extraction Process to Study Human Brain Cancer Cells and Tissues.Metabolites · 2021Article
- Insights into the Chemical Biology of Childhood Embryonal Solid Tumors by NMR-Based Metabolomics.Biomolecules · 2019Review
Corrections and comments
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Authors and funding
13 authors at 4 institutions in 1 country.
Funding
Abstract
Paediatric brain tumors are becoming well characterized due to large genomic and epigenomic studies. Metabolomics is a powerful analytical approach aiding in the characterization of tumors. This study shows that common cerebellar tumors have metabolite profiles sufficiently different to build accurate, robust diagnostic classifiers, and that the metabolite profiles can be used to assess differences in metabolism between the tumors. Tissue metabolite profiles were obtained from cerebellar ependymoma (n = 18), medulloblastoma (n = 36), pilocytic astrocytoma (n = 24) and atypical teratoid/rhabdoid tumors (n = 5) samples using HR-MAS. Quantified metabolites accurately discriminated the tumors; classification accuracies were 94% for ependymoma and medulloblastoma and 92% for pilocytic astrocytoma. Using current intraoperative examination the diagnostic accuracy was 72% for ependymoma, 90% for medulloblastoma and 89% for pilocytic astrocytoma. Elevated myo-inositol was characteristic of ependymoma whilst high taurine, phosphocholine and glycine distinguished medulloblastoma. Glutamine, hypotaurine and N-acetylaspartate (NAA) were increased in pilocytic astrocytoma. High lipids, phosphocholine and glutathione were important for separating ATRTs from medulloblastomas. This study demonstrates the ability of metabolic profiling by HR-MAS on small biopsy tissue samples to characterize these tumors. Analysis of tissue metabolite profiles has advantages in terms of minimal tissue pre-processing, short data acquisition time giving the potential to be used as part of a rapid diagnostic work-up.
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