Round robin study of formalin-fixed paraffin-embedded tissues in mass spectrometry imaging

被引:0
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作者
Achim Buck
Bram Heijs
Birte Beine
Jan Schepers
Alberto Cassese
Ron M. A. Heeren
Liam A. McDonnell
Corinna Henkel
Axel Walch
Benjamin Balluff
机构
[1] Helmholtz Zentrum München,Research Unit Analytical Pathology
[2] Leiden University Medical Center,Center for Proteomics and Metabolomics
[3] Ruhr-Universität Bochum,Medizinisches Proteom
[4] Leibniz-Institut für Analytische Wissenschaften – ISAS-e.V,Center
[5] Maastricht University,Department of Methodology and Statistics, Faculty of Psychology and Neuroscience
[6] Maastricht University,The Maastricht MultiModal Molecular Imaging Institute (M4I)
[7] Fondazione Pisana per la Scienza ONLUS,undefined
[8] Bruker Daltonik,undefined
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关键词
Mass spectrometry imaging; Multicenter study; Formalin-fixed paraffin-embedded tissue; Peptides; Metabolites; Ring trial;
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摘要
Mass spectrometry imaging (MSI) has provided many results with translational character, which still have to be proven robust in large patient cohorts and across different centers. Although formalin-fixed paraffin-embedded (FFPE) specimens are most common in clinical practice, no MSI multicenter study has been reported for FFPE samples. Here, we report the results of the first round robin MSI study on FFPE tissues with the goal to investigate the consequences of inter- and intracenter technical variation on masking biological effects. A total of four centers were involved with similar MSI instrumentation and sample preparation equipment. A FFPE multi-organ tissue microarray containing eight different types of tissue was analyzed on a peptide and metabolite level, which enabled investigating different molecular and biological differences. Statistical analyses revealed that peptide intercenter variation was significantly lower and metabolite intercenter variation was significantly higher than the respective intracenter variations. When looking at relative univariate effects of mass signals with statistical discriminatory power, the metabolite data was more reproducible across centers compared to the peptide data. With respect to absolute effects (cross-center common intensity scale), multivariate classifiers were able to reach on average > 90% accuracy for peptides and > 80% for metabolites if trained with sufficient amount of cross-center data. Overall, our study showed that MSI data from FFPE samples could be reproduced to a high degree across centers. While metabolite data exhibited more reproducibility with respect to relative effects, peptide data-based classifiers were more directly transferable between centers and therefore more robust than expected.
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页码:5969 / 5980
页数:11
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