Infrared Microspectroscopy and Imaging Analysis of Inflammatory and Non-Inflammatory Breast Cancer Cells and Their GAG SecretomeOpen Access

Mohamed HT, Untereiner V, Cinque G, Ibrahim SA, Götte M, Nguyen NQ, Rivet R, Sockalingum GD, Brézillon S.

Research article (journal) | Peer reviewed

Abstract

Glycosaminoglycans (GAGs)/proteoglycans (PGs) play a pivotal role in the metastasis of inflammatory breast cancer (IBC). They represent biomarkers and targets in diagnosis and treatment of different cancers including breast cancer. Thus, GAGs/PGs could represent potential prognostic/diagnostic biomarkers for IBC. In the present study, non-IBC MDA-MB-231, MCF7, SKBR3 cells and IBC SUM149 cells, as well as their GAG secretome were analyzed. The latter was measured in toto as dried drops with high-throughput (HT) Fourier Transform InfraRed (FTIR) spectroscopy and imaging. FTIR imaging was also employed to investigate single whole breast cancer cells while synchrotron-FTIR microspectroscopy was used to specifically target their cytoplasms. Data were analyzed by hierarchical cluster analysis and principal components analysis. Results obtained from HT-FTIR analysis of GAG drops showed that the inter-group variability enabled us to delineate between cell types in the GAG absorption range 1350-800 cm-1. Similar results were obtained for FTIR imaging of GAG extracts and fixed single whole cells. Synchrotron-FTIR data from cytoplasms allowed discrimination between non-IBC and IBC. Thus, by using GAG specific region, not only different breast cancer cell lines could be differentiated, but also non-IBC from IBC cells. This could be a potential diagnostic spectral marker for IBC detection useful for patient management.

Details about the publication

JournalMolecules
Volume25
Issue18
StatusPublished
Release year2020
Language in which the publication is writtenEnglish
Link to the full textdoi: 10.3390/molecules25184300.
KeywordsKrebsforschung; Nanoanalytik; Glykobiologie

Authors from the University of Münster

Götte, Martin

Projects the publication originates from

Duration: 01/07/2015 - 30/06/2019
Funded by: EC H2020 - Marie Skłodowska-Curie Actions - Research and Innovation Staff Exchange
Type of project: EU-project hosted at University of Münster