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Metabolomic profiling of tumor tissue and serum in glioma patients reveals diagnostic and prognostic information
Umeå University, Faculty of Science and Technology, Department of Chemistry.
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
Umeå University, Faculty of Medicine, Department of Pharmacology and Clinical Neuroscience, Clinical Neuroscience.
Umeå University, Faculty of Science and Technology, Department of Chemistry.
2012 (English)In: Neuro-Oncology, ISSN 1522-8517, E-ISSN 1523-5866, Vol. 14, no Suppl. 6, 96-96 p., OM-24Article in journal, Meeting abstract (Other academic) Published
Abstract [en]

High-grade glioma is the most common brain tumor in adults, and the prognosis for patients diagnosed with this type of cancer is still poor. The biological behavior of the tumors is correlated to the classification and the World Health Organization (WHO) grading system, in which the grading reflects the increased aggressiveness. The classification system has been developed and improved over the years, but there are still problems with possible clinical implications. The histological features are not always easy to interpret, and diagnosis relies partly on personal experience of the neuropathologist. The most important component in the classification is the correlation between tumor grade and prognosis; however, the clinical reality shows a large variation in the survival of patients with glioblastomas and low-grade gliomas. Thus, there is a need for biomarkers to obtain a more reliable classification of glioma tumors and also prognostic markers. We have performed a metabolomic profiling study of 81 tissue samples and 96 corresponding serum samples from patients with different glioma diagnoses (glioblastoma or oligodendroglioma) and grades (WHO grades II, IIIs and IV). The samples were analyzed by a global screening strategy using gas chromatography/time of flight mass spectrometry (GC/TOFMS). The acquired data were analyzed and evaluated by chemometrics-based bioinformatics methods in search for metabolite patterns of clinical relevance. We found metabolite patterns in both tissue and serum that distinguished glioblastomas from oligodendrogliomas and oligodendroglioma grade II from oligodendroglioma grade III. Interestingly, we also found metabolites elevated (eg, glycerol-3-phoshate, myo-inositol, ribitol, and fructose) and decreased (eg, octadecanoic acid and maltose) in glioblastoma patients that were associated with long survival (>3 years). Metabolite patterns associated with survival were also found in patients diagnosed with oligodendroglioma. These findings indicate that metabolomic profiling of glioma tissue and serum may be a valuable tool in future characterization of malignant glioma.

Place, publisher, year, edition, pages
Oxford University Press, 2012. Vol. 14, no Suppl. 6, 96-96 p., OM-24
National Category
Cell and Molecular Biology
URN: urn:nbn:se:umu:diva-63037DOI: 10.1093/neuonc/nos231ISI: 000310971300383OAI: diva2:581090
17th Annual Scientific Meeting and Education Day of the Society-for-Neuro-Oncology (SNO), NOV 15-18, 2012, Washington, DC


Available from: 2012-12-28 Created: 2012-12-27 Last updated: 2015-11-17Bibliographically approved

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Mörén, LinaJohansson, MikaelBergenheim, TommyAntti, Henrik
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