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MALDI Imaging‐Guided Microproteomic Analyses of Heterogeneous Breast Tumors—A Pilot Study
Author(s) -
Alberts Deborah,
Pottier Charles,
Smargiasso Nicolas,
Baiwir Dominique,
Mazzucchelli Gabriel,
Delvenne Philippe,
Kriegsmann Mark,
Kazdal Daniel,
Warth Arne,
Pauw Edwin,
Longuespée Rémi
Publication year - 2018
Publication title -
proteomics – clinical applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 54
eISSN - 1862-8354
pISSN - 1862-8346
DOI - 10.1002/prca.201700062
Subject(s) - maldi imaging , mass spectrometry imaging , breast cancer , laser capture microdissection , computational biology , matrix assisted laser desorption/ionization , computer science , mass spectrometry , pathology , medicine , cancer , biology , chemistry , chromatography , gene expression , organic chemistry , adsorption , desorption , gene , biochemistry
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.