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Multicenter Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging (MALDI MSI) identifies proteomic differences in breast-cancer-associated stroma.
J. Proteome Res. 13, 4730-4738 (2014)
MALDI mass spectrometry imaging (MSI) has rapidly established itself as a powerful biomarker discovery tool. To date, no formal investigation has assessed the center-to-center comparability of MALDI MSI experiments, an essential step for it to develop into a new diagnostic method. To test such capabilities, we have performed a multicenter study focused on biomarkers of stromal activation in breast cancer. MALDI MSI experiments were performed in two centers using independent tissue banks, infrastructure, methods, and practitioners. One of the data sets was used for discovery and the other for validation. Areas of intra- and extratumoral stroma were selected, and their protein signals were compared. Four protein signals were found to be significantly associated with tumor-associated stroma in the discovery data set measured in Munich. Three of these peaks were also detected in the independent validation data set measured in Leiden, all of which were also significantly associated with intratumoral stroma. Hierarchical clustering displayed 100% accuracy in the Munich MSI data set and 80.9% accuracy in the Leiden MSI data set. The association of one of the identified mass signals (PA28) with stromal activation was confirmed with immunohistochemistry performed on 20 breast tumors. Independent and international MALDI MSI investigations could identify validated biomarkers of stromal activation.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Tumor-associated Stroma ; Breast Cancer ; Maldi Imaging Mass Spectrometry ; Msi ; Multicenter Study ; Proteomics
Language
english
Publication Year
2014
HGF-reported in Year
2014
ISSN (print) / ISBN
1535-3893
e-ISSN
1535-3907
Journal
Journal of Proteome Research
Quellenangaben
Volume: 13,
Issue: 11,
Pages: 4730-4738
Publisher
American Chemical Society (ACS)
Reviewing status
Peer reviewed
POF-Topic(s)
30205 - Bioengineering and Digital Health
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-500390-001
G-500300-001
G-500300-001
PubMed ID
24762205
WOS ID
WOS:000344636500023
Erfassungsdatum
2014-05-07