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Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools

Plasma and tissue from breast cancer patients are valuable for diagnostic/prognostic purposes and are accessible by multiple mass spectrometry (MS) tools. Liquid chromatography-mass spectrometry (LC-MS) and ambient mass spectrometry imaging (MSI) were shown to be robust and reproducible technologies...

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Autores principales: Silva, Alex Ap. Rosini, Cardoso, Marcella R., Rezende, Luciana Montes, Lin, John Q., Guimaraes, Fernando, Silva, Geisilene R. Paiva, Murgu, Michael, Priolli, Denise Gonçalves, Eberlin, Marcos N., Tata, Alessandra, Eberlin, Livia S., Derchain, Sophie F. M., Porcari, Andreia M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7279467/
https://www.ncbi.nlm.nih.gov/pubmed/32443844
http://dx.doi.org/10.3390/ijms21103611
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author Silva, Alex Ap. Rosini
Cardoso, Marcella R.
Rezende, Luciana Montes
Lin, John Q.
Guimaraes, Fernando
Silva, Geisilene R. Paiva
Murgu, Michael
Priolli, Denise Gonçalves
Eberlin, Marcos N.
Tata, Alessandra
Eberlin, Livia S.
Derchain, Sophie F. M.
Porcari, Andreia M.
author_facet Silva, Alex Ap. Rosini
Cardoso, Marcella R.
Rezende, Luciana Montes
Lin, John Q.
Guimaraes, Fernando
Silva, Geisilene R. Paiva
Murgu, Michael
Priolli, Denise Gonçalves
Eberlin, Marcos N.
Tata, Alessandra
Eberlin, Livia S.
Derchain, Sophie F. M.
Porcari, Andreia M.
author_sort Silva, Alex Ap. Rosini
collection PubMed
description Plasma and tissue from breast cancer patients are valuable for diagnostic/prognostic purposes and are accessible by multiple mass spectrometry (MS) tools. Liquid chromatography-mass spectrometry (LC-MS) and ambient mass spectrometry imaging (MSI) were shown to be robust and reproducible technologies for breast cancer diagnosis. Here, we investigated whether there is a correspondence between lipid cancer features observed by desorption electrospray ionization (DESI)-MSI in tissue and those detected by LC-MS in plasma samples. The study included 28 tissues and 20 plasma samples from 24 women with ductal breast carcinomas of both special and no special type (NST) along with 22 plasma samples from healthy women. The comparison of plasma and tissue lipid signatures revealed that each one of the studied matrices (i.e., blood or tumor) has its own specific molecular signature and the full interposition of their discriminant ions is not possible. This comparison also revealed that the molecular indicators of tissue injury, characteristic of the breast cancer tissue profile obtained by DESI-MSI, do not persist as cancer discriminators in peripheral blood even though some of them could be found in plasma samples.
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spelling pubmed-72794672020-06-17 Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools Silva, Alex Ap. Rosini Cardoso, Marcella R. Rezende, Luciana Montes Lin, John Q. Guimaraes, Fernando Silva, Geisilene R. Paiva Murgu, Michael Priolli, Denise Gonçalves Eberlin, Marcos N. Tata, Alessandra Eberlin, Livia S. Derchain, Sophie F. M. Porcari, Andreia M. Int J Mol Sci Article Plasma and tissue from breast cancer patients are valuable for diagnostic/prognostic purposes and are accessible by multiple mass spectrometry (MS) tools. Liquid chromatography-mass spectrometry (LC-MS) and ambient mass spectrometry imaging (MSI) were shown to be robust and reproducible technologies for breast cancer diagnosis. Here, we investigated whether there is a correspondence between lipid cancer features observed by desorption electrospray ionization (DESI)-MSI in tissue and those detected by LC-MS in plasma samples. The study included 28 tissues and 20 plasma samples from 24 women with ductal breast carcinomas of both special and no special type (NST) along with 22 plasma samples from healthy women. The comparison of plasma and tissue lipid signatures revealed that each one of the studied matrices (i.e., blood or tumor) has its own specific molecular signature and the full interposition of their discriminant ions is not possible. This comparison also revealed that the molecular indicators of tissue injury, characteristic of the breast cancer tissue profile obtained by DESI-MSI, do not persist as cancer discriminators in peripheral blood even though some of them could be found in plasma samples. MDPI 2020-05-20 /pmc/articles/PMC7279467/ /pubmed/32443844 http://dx.doi.org/10.3390/ijms21103611 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
Silva, Alex Ap. Rosini
Cardoso, Marcella R.
Rezende, Luciana Montes
Lin, John Q.
Guimaraes, Fernando
Silva, Geisilene R. Paiva
Murgu, Michael
Priolli, Denise Gonçalves
Eberlin, Marcos N.
Tata, Alessandra
Eberlin, Livia S.
Derchain, Sophie F. M.
Porcari, Andreia M.
Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools
title Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools
title_full Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools
title_fullStr Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools
title_full_unstemmed Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools
title_short Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools
title_sort multiplatform investigation of plasma and tissue lipid signatures of breast cancer using mass spectrometry tools
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7279467/
https://www.ncbi.nlm.nih.gov/pubmed/32443844
http://dx.doi.org/10.3390/ijms21103611
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