MALDI Imaging‐Guided Microproteomic Analyses of Heterogeneous Breast Tumors—A Pilot Study
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- Deborah Alberts
- Laboratory of Mass Spectrometry (LSM) ‐ MolSys Department of Chemistry University of Liège Liege Belgium
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- Charles Pottier
- Department of Pathology GIGA Cancer University of Liège Hospital Liège Belgium
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- Nicolas Smargiasso
- Laboratory of Mass Spectrometry (LSM) ‐ MolSys Department of Chemistry University of Liège Liege Belgium
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- Dominique Baiwir
- GIGA Proteomic Facility University of Liège Liège Belgium
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- Gabriel Mazzucchelli
- Laboratory of Mass Spectrometry (LSM) ‐ MolSys Department of Chemistry University of Liège Liege Belgium
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- Philippe Delvenne
- Department of Pathology GIGA Cancer University of Liège Hospital Liège Belgium
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- Mark Kriegsmann
- Institute of Pathology University of Heidelberg Heidelberg Germany
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- Daniel Kazdal
- Institute of Pathology University of Heidelberg Heidelberg Germany
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- Arne Warth
- Institute of Pathology University of Heidelberg Heidelberg Germany
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- Edwin De Pauw
- Laboratory of Mass Spectrometry (LSM) ‐ MolSys Department of Chemistry University of Liège Liege Belgium
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- Rémi Longuespée
- Laboratory of Mass Spectrometry (LSM) ‐ MolSys Department of Chemistry University of Liège Liege Belgium
書誌事項
- 公開日
- 2017-09-15
- 権利情報
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- http://onlinelibrary.wiley.com/termsAndConditions#vor
- DOI
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- 10.1002/prca.201700062
- 公開者
- Wiley
この論文をさがす
説明
<jats:title>Abstract</jats:title><jats:p>Matrix‐assisted laser desorption/ionization (MALDI) imaging is an ideal tool to study intratumor heterogeneity (ITH) and its implication in prognostic stratification of patients. However, there are some drawbacks concerning protein identification. On the other hand, laser microdissection (LMD)‐based microproteomics allows retrieving thousands of protein identifications from small tissue pieces. As a proof of concept, the authors combine these two complementary approaches to analyze heterogeneous regions in breast tumors. Invasive ductal breast cancer FFPE tissue sections from five patients are analyzed by MALDI imaging and the dataset is processed by segmentation. Heterogeneous regions within tumors are processed by LMD‐based microproteomics, in duplicates. Liquid chromatography‐tandem mass spectrometry data are classified by hierarchical clustering. Heterogeneous tissue regions are discriminated on the basis of their actual molecular heterogeneity. The dataset is correlated with MALDI imaging to identify <jats:italic>m/z</jats:italic> values discriminating heterogeneous regions. The molecular characterization of cell clones in tumors related to bad patient outcome could have great impact for pathology. A combined application of LMD‐based microproteomics and MALDI imaging for ITH studies is presented.</jats:p>
収録刊行物
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- PROTEOMICS – Clinical Applications
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PROTEOMICS – Clinical Applications 12 (1), 2017-09-15
Wiley
