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Cancer BiologybioRxiv
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Sequential 3D OrbiSIMS and LESA-MS/MS-based metabolomics for prediction of brain tumor relapse from sample-limited primary tissue archives

J. Meurs, D. J. Scurr, A. Lourdusamy, L. C. D. Storer, R. G. Grundy, M. R. Alexander, R. Rahman, D.-H. Kim

Abstract

We present here a novel surface mass spectrometry strategy to perform untargeted metabolite profiling of formalin-fixed paraffin-embedded (FFPE) pediatric ependymoma archives. Sequential Orbitrap secondary ion mass spectrometry (3D OrbiSIMS) and liquid extraction surface analysis-tandem MS (LESA-MS/MS) permitted the detection of 887 metabolites (163 chemical classes) from pediatric ependymoma tumor tissue microarrays (diameter View larger version (11K): org.highwire.dtl.DTLVardef@1f9c850org.highwire.dtl.DTLVardef@1ce0568org.highwire.dtl.DTLVardef@c5023borg.highwire.dtl.DTLVardef@15ad6e_HPS_FORMAT_FIGEXP M_FIG For Table of Contents Only C_FIG

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02 /Specification & Classification

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