Cargando…

Reproducible Lipid Alterations in Patient-Derived Breast Cancer Xenograft FFPE Tissue Identified with MALDI MSI for Pre-Clinical and Clinical Application

The association between lipid metabolism and long-term outcomes is relevant for tumor diagnosis and therapy. Archival material such as formalin-fixed and paraffin embedded (FFPE) tissues is a highly valuable resource for this aim as it is linked to long-term clinical follow-up. Therefore, there is a...

Descripción completa

Detalles Bibliográficos
Autores principales: Denti, Vanna, Andersen, Maria K., Smith, Andrew, Bofin, Anna Mary, Nordborg, Anna, Magni, Fulvio, Moestue, Siver Andreas, Giampà, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8467053/
https://www.ncbi.nlm.nih.gov/pubmed/34564393
http://dx.doi.org/10.3390/metabo11090577
_version_ 1784573298513805312
author Denti, Vanna
Andersen, Maria K.
Smith, Andrew
Bofin, Anna Mary
Nordborg, Anna
Magni, Fulvio
Moestue, Siver Andreas
Giampà, Marco
author_facet Denti, Vanna
Andersen, Maria K.
Smith, Andrew
Bofin, Anna Mary
Nordborg, Anna
Magni, Fulvio
Moestue, Siver Andreas
Giampà, Marco
author_sort Denti, Vanna
collection PubMed
description The association between lipid metabolism and long-term outcomes is relevant for tumor diagnosis and therapy. Archival material such as formalin-fixed and paraffin embedded (FFPE) tissues is a highly valuable resource for this aim as it is linked to long-term clinical follow-up. Therefore, there is a need to develop robust methodologies able to detect lipids in FFPE material and correlate them with clinical outcomes. In this work, lipidic alterations were investigated in patient-derived xenograft of breast cancer by using a matrix-assisted laser desorption ionization mass spectrometry (MALDI MSI) based workflow that included antigen retrieval as a sample preparation step. We evaluated technical reproducibility, spatial metabolic differentiation within tissue compartments, and treatment response induced by a glutaminase inhibitor (CB-839). This protocol shows a good inter-day robustness (CV = 26 ± 12%). Several lipids could reliably distinguish necrotic and tumor regions across the technical replicates. Moreover, this protocol identified distinct alterations in the tissue lipidome of xenograft treated with glutaminase inhibitors. In conclusion, lipidic alterations in FFPE tissue of breast cancer xenograft observed in this study are a step-forward to a robust and reproducible MALDI-MSI based workflow for pre-clinical and clinical applications.
format Online
Article
Text
id pubmed-8467053
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-84670532021-09-27 Reproducible Lipid Alterations in Patient-Derived Breast Cancer Xenograft FFPE Tissue Identified with MALDI MSI for Pre-Clinical and Clinical Application Denti, Vanna Andersen, Maria K. Smith, Andrew Bofin, Anna Mary Nordborg, Anna Magni, Fulvio Moestue, Siver Andreas Giampà, Marco Metabolites Article The association between lipid metabolism and long-term outcomes is relevant for tumor diagnosis and therapy. Archival material such as formalin-fixed and paraffin embedded (FFPE) tissues is a highly valuable resource for this aim as it is linked to long-term clinical follow-up. Therefore, there is a need to develop robust methodologies able to detect lipids in FFPE material and correlate them with clinical outcomes. In this work, lipidic alterations were investigated in patient-derived xenograft of breast cancer by using a matrix-assisted laser desorption ionization mass spectrometry (MALDI MSI) based workflow that included antigen retrieval as a sample preparation step. We evaluated technical reproducibility, spatial metabolic differentiation within tissue compartments, and treatment response induced by a glutaminase inhibitor (CB-839). This protocol shows a good inter-day robustness (CV = 26 ± 12%). Several lipids could reliably distinguish necrotic and tumor regions across the technical replicates. Moreover, this protocol identified distinct alterations in the tissue lipidome of xenograft treated with glutaminase inhibitors. In conclusion, lipidic alterations in FFPE tissue of breast cancer xenograft observed in this study are a step-forward to a robust and reproducible MALDI-MSI based workflow for pre-clinical and clinical applications. MDPI 2021-08-26 /pmc/articles/PMC8467053/ /pubmed/34564393 http://dx.doi.org/10.3390/metabo11090577 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Denti, Vanna
Andersen, Maria K.
Smith, Andrew
Bofin, Anna Mary
Nordborg, Anna
Magni, Fulvio
Moestue, Siver Andreas
Giampà, Marco
Reproducible Lipid Alterations in Patient-Derived Breast Cancer Xenograft FFPE Tissue Identified with MALDI MSI for Pre-Clinical and Clinical Application
title Reproducible Lipid Alterations in Patient-Derived Breast Cancer Xenograft FFPE Tissue Identified with MALDI MSI for Pre-Clinical and Clinical Application
title_full Reproducible Lipid Alterations in Patient-Derived Breast Cancer Xenograft FFPE Tissue Identified with MALDI MSI for Pre-Clinical and Clinical Application
title_fullStr Reproducible Lipid Alterations in Patient-Derived Breast Cancer Xenograft FFPE Tissue Identified with MALDI MSI for Pre-Clinical and Clinical Application
title_full_unstemmed Reproducible Lipid Alterations in Patient-Derived Breast Cancer Xenograft FFPE Tissue Identified with MALDI MSI for Pre-Clinical and Clinical Application
title_short Reproducible Lipid Alterations in Patient-Derived Breast Cancer Xenograft FFPE Tissue Identified with MALDI MSI for Pre-Clinical and Clinical Application
title_sort reproducible lipid alterations in patient-derived breast cancer xenograft ffpe tissue identified with maldi msi for pre-clinical and clinical application
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8467053/
https://www.ncbi.nlm.nih.gov/pubmed/34564393
http://dx.doi.org/10.3390/metabo11090577
work_keys_str_mv AT dentivanna reproduciblelipidalterationsinpatientderivedbreastcancerxenograftffpetissueidentifiedwithmaldimsiforpreclinicalandclinicalapplication
AT andersenmariak reproduciblelipidalterationsinpatientderivedbreastcancerxenograftffpetissueidentifiedwithmaldimsiforpreclinicalandclinicalapplication
AT smithandrew reproduciblelipidalterationsinpatientderivedbreastcancerxenograftffpetissueidentifiedwithmaldimsiforpreclinicalandclinicalapplication
AT bofinannamary reproduciblelipidalterationsinpatientderivedbreastcancerxenograftffpetissueidentifiedwithmaldimsiforpreclinicalandclinicalapplication
AT nordborganna reproduciblelipidalterationsinpatientderivedbreastcancerxenograftffpetissueidentifiedwithmaldimsiforpreclinicalandclinicalapplication
AT magnifulvio reproduciblelipidalterationsinpatientderivedbreastcancerxenograftffpetissueidentifiedwithmaldimsiforpreclinicalandclinicalapplication
AT moestuesiverandreas reproduciblelipidalterationsinpatientderivedbreastcancerxenograftffpetissueidentifiedwithmaldimsiforpreclinicalandclinicalapplication
AT giampamarco reproduciblelipidalterationsinpatientderivedbreastcancerxenograftffpetissueidentifiedwithmaldimsiforpreclinicalandclinicalapplication