Impact of post-surgical freezing delay on brain tumor metabolomics

Introduction: Translational cancer research has seen an increasing interest in metabolomic profiling to decipher tumor phenotypes. However, the impact of post-surgical freezing delays on mass spectrometric metabolomic measurements of the cancer tissue remains elusive. Objectives: To evaluate the imp...

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Hauptverfasser: Mock, Andreas (VerfasserIn) , Rapp, Carmen (VerfasserIn) , Warta, Rolf (VerfasserIn) , Abdollahi, Amir (VerfasserIn) , Jäger, Dirk (VerfasserIn) , Sakowitz, Oliver (VerfasserIn) , Brors, Benedikt (VerfasserIn) , Deimling, Andreas von (VerfasserIn) , Jungk, Christine (VerfasserIn) , Unterberg, Andreas (VerfasserIn) , Herold-Mende, Christel (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 13 May 2019
In: Metabolomics
Year: 2019, Jahrgang: 15, Heft: 5
ISSN:1573-3890
DOI:10.1007/s11306-019-1541-2
Online-Zugang:Verlag, Pay-per-use, Volltext: https://doi.org/10.1007/s11306-019-1541-2
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Verfasserangaben:Andreas Mock, Carmen Rapp, Rolf Warta, Amir Abdollahi, Dirk Jäger, Oliver Sakowitz, Benedikt Brors, Andreas von Deimling, Christine Jungk, Andreas Unterberg, Christel Herold-Mende
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Zusammenfassung:Introduction: Translational cancer research has seen an increasing interest in metabolomic profiling to decipher tumor phenotypes. However, the impact of post-surgical freezing delays on mass spectrometric metabolomic measurements of the cancer tissue remains elusive. Objectives: To evaluate the impact of post-surgical freezing delays on cancer tissue metabolomics and to investigate changes per metabolite and per metabolic pathway. Methods: We performed untargeted metabolomics on three cortically located and bulk-resected glioblastoma tissues that were sequentially frozen as duplicates at up to six different time delays (0-180 min, 34 samples). Results: Statistical modelling revealed that 10% of the metabolome (59 of 597 metabolites) changed significantly after a 3 h delay. While carbohydrates and energy metabolites decreased, peptides and lipids increased. After a 2 h delay, these metabolites had changed by as much as 50-100%. We present the first list of metabolites in glioblastoma tissues that are sensitive to post-surgical freezing delays and offer the opportunity to define individualized fold change thresholds for future comparative metabolomic studies. Conclusion: More researchers should take these pre-analytical factors into consideration when analyzing metabolomic data. We present a strategy for how to work with metabolites that are sensitive to freezing delays.
Beschreibung:Gesehen am 16.09.2019
Beschreibung:Online Resource
ISSN:1573-3890
DOI:10.1007/s11306-019-1541-2