| Literature DB >> 28801933 |
Deborah Alberts1, Charles Pottier2, Nicolas Smargiasso1, Dominique Baiwir3, Gabriel Mazzucchelli1, Philippe Delvenne2, Mark Kriegsmann4, Daniel Kazdal4, Arne Warth4, Edwin De Pauw1, Rémi Longuespée1,4,5.
Abstract
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 m/z 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.Entities:
Keywords: Intratumor heterogeneity; Laser microdissection; MALDI imaging; Microproteomics
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Year: 2017 PMID: 28801933 DOI: 10.1002/prca.201700062
Source DB: PubMed Journal: Proteomics Clin Appl ISSN: 1862-8346 Impact factor: 3.494