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Tissue metabolites in diffuse glioma and their modulations by IDH1 mutation, histology, and treatment
Christoph Trautwein, Laimdota Zizmare, Irina Mäurer, Benjamin Bender, Björn Bayer, Ulrike Ernemann, Marcos Tatagiba, Stefan J. Grau, Bernd J. Pichler, Marco Skardelly, Ghazaleh Tabatabai
Christoph Trautwein, Laimdota Zizmare, Irina Mäurer, Benjamin Bender, Björn Bayer, Ulrike Ernemann, Marcos Tatagiba, Stefan J. Grau, Bernd J. Pichler, Marco Skardelly, Ghazaleh Tabatabai
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Resource and Technical Advance Oncology

Tissue metabolites in diffuse glioma and their modulations by IDH1 mutation, histology, and treatment

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Abstract

The discovery of the oncometabolite 2-hydroxyglutarate in isocitrate dehydrogenase 1–mutated (IDH1-mutated) tumor entities affirmed the role of metabolism in cancer. However, large databases with tissue metabolites that are modulated by IDH1 mutation remain an area of development. Here, we present an unprecedented and valuable resource for tissue metabolites in diffuse glioma and their modulations by IDH1 mutation, histology, and tumor treatments in 101 tissue samples from 73 diffuse glioma patients (24 astrocytoma, 17 oligodendroglioma, 32 glioblastoma), investigated by NMR-based metabolomics and supported by RNA-Seq. We discovered comparison-specific metabolites and pathways modulated by IDH1 (IDH1 mutation status cohort) and tumor entity. The Longitudinal investigation cohort provides metabolic profiles of untreated and corresponding treated glioma samples at first progression. Most interestingly, univariate and multivariate cox regressions and Kaplan-Meier analyses revealed that tissue metabolites correlate with progression-free and overall survival. Thus, this study introduces potentially novel candidate prognostic and surrogate metabolite biomarkers for future prospective clinical studies, aiming at further refining patient stratification in diffuse glioma. Furthermore, our data will facilitate the generation of so-far–unanticipated hypotheses for experimental studies to advance our molecular understanding of glioma biology.

Authors

Christoph Trautwein, Laimdota Zizmare, Irina Mäurer, Benjamin Bender, Björn Bayer, Ulrike Ernemann, Marcos Tatagiba, Stefan J. Grau, Bernd J. Pichler, Marco Skardelly, Ghazaleh Tabatabai

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Figure 9

Tissue metabolite Kaplan-Meier survival curves of progression-free survival and overall survival.

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Tissue metabolite Kaplan-Meier survival curves of progression-free survi...
(A–D) Kaplan-Meier survival curves of the PFS (A and B) and OS (C and D) for IDH1-WT (n = 27), IDH1-mut astrocytoma (n = 17), and IDH1-mut oligodendroglioma (n = 17) and for groups defined by selected metabolites and their patient cohort-specific thresholds. The groups with the worst PFS and OS are shown in red, with intermediate PFS and OS in blue, and with the best PFS and OS in green. Metabolite concentrations (mM) were normalized and Pareto scaled for dilution effects. Log-rank test P < 0.0001 for all the 4 curves.

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ISSN 2379-3708

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