Impact of post-surgical freezing delay on brain tumor metabolomics

• Verfasst von: Mock, Andreas [VerfasserIn]
• Verfasst von: Rapp, Carmen [VerfasserIn]
• Verfasst von: Warta, Rolf [VerfasserIn]
• Verfasst von: Abdollahi, Amir [VerfasserIn]
• Verfasst von: Jäger, Dirk [VerfasserIn]
• Verfasst von: Sakowitz, Oliver [VerfasserIn]
• Verfasst von: Brors, Benedikt [VerfasserIn]
• Verfasst von: Deimling, Andreas von [VerfasserIn]
• Verfasst von: Jungk, Christine [VerfasserIn]
• Verfasst von: Unterberg, Andreas [VerfasserIn]
• Verfasst von: Herold-Mende, Christel [VerfasserIn]
• Titel: Impact of post-surgical freezing delay on brain tumor metabolomics
• Verf.angabe: Andreas Mock, Carmen Rapp, Rolf Warta, Amir Abdollahi, Dirk Jäger, Oliver Sakowitz, Benedikt Brors, Andreas von Deimling, Christine Jungk, Andreas Unterberg, Christel Herold-Mende
• E-Jahr: 2019
• Jahr: 13 May 2019
• Umfang: 8 S.
• Fussnoten: Gesehen am 16.09.2019
• Titel Quelle: Enthalten in: Metabolomics
• Ort Quelle: Berlin : Springer, 2005
• Jahr Quelle: 2019
• Band/Heft Quelle: 15(2019,5) Artikel-Nummer 78, 8 Seiten
• ISSN Quelle: 1573-3890
• DOI: doi:10.1007/s11306-019-1541-2
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: MetaboDiff
• Sach-SW: Metabolome
• Sach-SW: Quenching
• Sach-SW: Snap-frozen
• K10plus-PPN: 1677122498

Abstract

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.