Tissue metabolite profiles for the characterisation of paediatric cerebellar tumours

Research output: Contribution to journalArticle

Authors

  • Christopher D. Bennett
  • Simrandip K. Gill
  • Nigel P. Davies
  • Lisa C.D. Storer
  • Timothy Ritzmann
  • Simon M.L. Paine
  • Ian S. Scott
  • Ina Nicklaus-Wollenteit
  • Richard G. Grundy

External organisations

  • Birmingham Children's Hospital
  • University Hospitals Birmingham NHS Trust
  • University of Nottingham
  • Nottingham University Hospitals NHS Trust

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.

Details

Original languageEnglish
Article number11992
JournalScientific Reports
Volume8
Issue number1
Publication statusPublished - 10 Aug 2018

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