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

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 bioma...

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Autores principales: Mohamed, Hossam Taha, Untereiner, Valérie, Cinque, Gianfelice, Ibrahim, Sherif Abdelaziz, Götte, Martin, Nguyen, Nguyet Que, Rivet, Romain, Sockalingum, Ganesh D., Brézillon, Stéphane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570935/
https://www.ncbi.nlm.nih.gov/pubmed/32961706
http://dx.doi.org/10.3390/molecules25184300
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author Mohamed, Hossam Taha
Untereiner, Valérie
Cinque, Gianfelice
Ibrahim, Sherif Abdelaziz
Götte, Martin
Nguyen, Nguyet Que
Rivet, Romain
Sockalingum, Ganesh D.
Brézillon, Stéphane
author_facet Mohamed, Hossam Taha
Untereiner, Valérie
Cinque, Gianfelice
Ibrahim, Sherif Abdelaziz
Götte, Martin
Nguyen, Nguyet Que
Rivet, Romain
Sockalingum, Ganesh D.
Brézillon, Stéphane
author_sort Mohamed, Hossam Taha
collection PubMed
description 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.
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spelling pubmed-75709352020-10-28 Infrared Microspectroscopy and Imaging Analysis of Inflammatory and Non-Inflammatory Breast Cancer Cells and Their GAG Secretome Mohamed, Hossam Taha Untereiner, Valérie Cinque, Gianfelice Ibrahim, Sherif Abdelaziz Götte, Martin Nguyen, Nguyet Que Rivet, Romain Sockalingum, Ganesh D. Brézillon, Stéphane Molecules Article 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. MDPI 2020-09-19 /pmc/articles/PMC7570935/ /pubmed/32961706 http://dx.doi.org/10.3390/molecules25184300 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mohamed, Hossam Taha
Untereiner, Valérie
Cinque, Gianfelice
Ibrahim, Sherif Abdelaziz
Götte, Martin
Nguyen, Nguyet Que
Rivet, Romain
Sockalingum, Ganesh D.
Brézillon, Stéphane
Infrared Microspectroscopy and Imaging Analysis of Inflammatory and Non-Inflammatory Breast Cancer Cells and Their GAG Secretome
title Infrared Microspectroscopy and Imaging Analysis of Inflammatory and Non-Inflammatory Breast Cancer Cells and Their GAG Secretome
title_full Infrared Microspectroscopy and Imaging Analysis of Inflammatory and Non-Inflammatory Breast Cancer Cells and Their GAG Secretome
title_fullStr Infrared Microspectroscopy and Imaging Analysis of Inflammatory and Non-Inflammatory Breast Cancer Cells and Their GAG Secretome
title_full_unstemmed Infrared Microspectroscopy and Imaging Analysis of Inflammatory and Non-Inflammatory Breast Cancer Cells and Their GAG Secretome
title_short Infrared Microspectroscopy and Imaging Analysis of Inflammatory and Non-Inflammatory Breast Cancer Cells and Their GAG Secretome
title_sort infrared microspectroscopy and imaging analysis of inflammatory and non-inflammatory breast cancer cells and their gag secretome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570935/
https://www.ncbi.nlm.nih.gov/pubmed/32961706
http://dx.doi.org/10.3390/molecules25184300
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