Article open access publication

Impact of Freezing Delay Time on Tissue Samples for Metabolomic Studies

Frontiers in Oncology, Frontiers, ISSN 2234-943X

Volume 6, 2016

DOI:10.3389/fonc.2016.00017, Dimensions: pub.1003085238, PMC: PMC4730796, PMID: 26858940,

Affiliations

Organisations

  1. (1) Norwegian University of Science and Technology, grid.5947.f
  2. (2) Faculty of Medicine, K. G. Jebsen Center for Breast Cancer Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
  3. (3) St Olav's University Hospital, grid.52522.32
  4. (4) Aarhus University, grid.7048.b, AU
  5. (5) Metabolomic and Molecular Image Laboratory, Health Research Institute INCLIVA, Valencia, Spain

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Norway

Denmark

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Europe

Description

INTRODUCTION: Metabolic profiling of intact tumor tissue by high-resolution magic angle spinning (HR MAS) MR spectroscopy (MRS) provides important biological information possibly useful for clinical diagnosis and development of novel treatment strategies. However, generation of high-quality data requires that sample handling from surgical resection until analysis is performed using systematically validated procedures. In this study, we investigated the effect of postsurgical freezing delay time on global metabolic profiles and stability of individual metabolites in intact tumor tissue. MATERIALS AND METHODS: Tumor tissue samples collected from two patient-derived breast cancer xenograft models (n = 3 for each model) were divided into pieces that were snap-frozen in liquid nitrogen at 0, 15, 30, 60, 90, and 120 min after surgical removal. In addition, one sample was analyzed immediately, representing the metabolic profile of fresh tissue exposed neither to liquid nitrogen nor to room temperature. We also evaluated the metabolic effect of prolonged spinning during the HR MAS experiments in biopsies from breast cancer patients (n = 14). All samples were analyzed by proton HR MAS MRS on a Bruker Avance DRX600 spectrometer, and changes in metabolic profiles were evaluated using multivariate analysis and linear mixed modeling. RESULTS: Multivariate analysis showed that the metabolic differences between the two breast cancer models were more prominent than variation caused by freezing delay time. No significant changes in levels of individual metabolites were observed in samples frozen within 30 min of resection. After this time point, levels of choline increased, whereas ascorbate, creatine, and glutathione (GS) levels decreased. Freezing had a significant effect on several metabolites but is an essential procedure for research and biobank purposes. Furthermore, four metabolites (glucose, glycine, glycerophosphocholine, and choline) were affected by prolonged HR MAS experiment time possibly caused by physical release of metabolites caused by spinning or due to structural degradation processes. CONCLUSION: The MR metabolic profiles of tumor samples are reproducible and robust to variation in postsurgical freezing delay up to 30 min.

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Times Cited: 25

Field Citation Ratio (FCR): 6.51

Relative Citation ratio (RCR): 1.77

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