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Ex-vivo HRMAS of adult brain tumours: metabolite quantification and assignment of tumour biomarkers

Wright, AJ; Fellows, GA; Griffiths, JR; Wilson, M; Bell, BA; Howe, FA (2010) Ex-vivo HRMAS of adult brain tumours: metabolite quantification and assignment of tumour biomarkers. MOLECULAR CANCER, 9 (66). pp. 1-18. ISSN 1476-4598
SGUL Authors: Bell, Bryan Anthony Howe, Franklyn Arron

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Background: High-resolution magic angle spinning (HRMAS) NMR spectroscopy allows detailed metabolic analysis of whole biopsy samples for investigating tumour biology and tumour classification. Accurate biochemical assignment of small molecule metabolites that are “NMR visible” will improve our interpretation of HRMAS data and the translation of NMR tumour biomarkers to in-vivo studies. Results: 1D and 2D 1H HRMAS NMR was used to determine that 29 small molecule metabolites, along with 8 macromolecule signals, account for the majority of the HRMAS spectrum of the main types of brain tumour(astrocytoma grade II, grade III gliomas, glioblastomas, metastases, meningiomas and also lymphomas). Differences in concentration of 20 of these metabolites were statistically significant between these brain tumour types. During the course of an extended 2D data acquisition the HRMAS technique itself affects sample analysis: glycine, glutathione and glycerophosphocholine all showed small concentration changes; analysis of the sample after HRMAS indicated structural damage that may affect subsequent histopathological analysis. Conclusions: A number of small molecule metabolites have been identified as potential biomarkers of tumour type that may enable development of more selective in-vivo 1H NMR acquisition methods for diagnosis and prognosis of brain tumours.

Item Type: Article
Additional Information: © 2010 Wright et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Artifacts, Brain Neoplasms, Decision Support Systems, Clinical, Humans, Magnetic Resonance Spectroscopy, Tumor Markers, Biological, Science & Technology, Life Sciences & Biomedicine, Biochemistry & Molecular Biology, Oncology, MAGNETIC-RESONANCE-SPECTROSCOPY, NERVOUS-SYSTEM TUMORS, HIGH-GRADE GLIOMAS, IN-VIVO, H-1-NMR SPECTROSCOPY, HR-MAS, H-1 MRS, CHILDHOOD BRAIN, NMR SIGNALS, CELL-DEATH
SGUL Research Institute / Research Centre: Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)
Academic Structure > Molecular and Clinical Sciences Research Institute (MCS) > Neuroscience (INCCNS)
Journal or Publication Title: MOLECULAR CANCER
ISSN: 1476-4598
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23 March 2010Published
Web of Science ID: WOS:000277141000001
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