Cargando…

MALDI Mass Spectrometry Imaging Linked with Top-Down Proteomics as a Tool to Study the Non-Small-Cell Lung Cancer Tumor Microenvironment

Advanced non-small-cell lung cancer (NSCLC) is generally linked with a poor prognosis and is one of the leading causes of cancer-related deaths worldwide. Since only a minority of the patients respond well to chemotherapy and/or targeted therapies, immunotherapy might be a valid alternative in the l...

Descripción completa

Detalles Bibliográficos
Autores principales: Berghmans, Eline, Van Raemdonck, Geert, Schildermans, Karin, Willems, Hanny, Boonen, Kurt, Maes, Evelyne, Mertens, Inge, Pauwels, Patrick, Baggerman, Geert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6632162/
https://www.ncbi.nlm.nih.gov/pubmed/31164623
http://dx.doi.org/10.3390/mps2020044
_version_ 1783435681562886144
author Berghmans, Eline
Van Raemdonck, Geert
Schildermans, Karin
Willems, Hanny
Boonen, Kurt
Maes, Evelyne
Mertens, Inge
Pauwels, Patrick
Baggerman, Geert
author_facet Berghmans, Eline
Van Raemdonck, Geert
Schildermans, Karin
Willems, Hanny
Boonen, Kurt
Maes, Evelyne
Mertens, Inge
Pauwels, Patrick
Baggerman, Geert
author_sort Berghmans, Eline
collection PubMed
description Advanced non-small-cell lung cancer (NSCLC) is generally linked with a poor prognosis and is one of the leading causes of cancer-related deaths worldwide. Since only a minority of the patients respond well to chemotherapy and/or targeted therapies, immunotherapy might be a valid alternative in the lung cancer treatment field, as immunotherapy attempts to strengthen the body’s own immune response to recognize and eliminate malignant tumor cells. However, positive response patterns to immunotherapy remain unclear. In this study, we demonstrate how immune-related factors could be visualized from single NSCLC tissue sections (Biobank@UZA) while retaining their spatial information by using matrix assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI), in order to unravel the molecular profile of NSCLC patients. In this way, different regions in lung cancerous tissues could be discriminated based on the molecular composition. In addition, we linked visualization (MALDI MSI) and identification (based on liquid chromatography higher resolution mass spectrometry) of the molecules of interest for the correct biological interpretation of the observed molecular differences within the area in which these molecules are detected. This is of major importance to fully understand the underlying molecular profile of the NSCLC tumor microenvironment.
format Online
Article
Text
id pubmed-6632162
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-66321622019-08-19 MALDI Mass Spectrometry Imaging Linked with Top-Down Proteomics as a Tool to Study the Non-Small-Cell Lung Cancer Tumor Microenvironment Berghmans, Eline Van Raemdonck, Geert Schildermans, Karin Willems, Hanny Boonen, Kurt Maes, Evelyne Mertens, Inge Pauwels, Patrick Baggerman, Geert Methods Protoc Article Advanced non-small-cell lung cancer (NSCLC) is generally linked with a poor prognosis and is one of the leading causes of cancer-related deaths worldwide. Since only a minority of the patients respond well to chemotherapy and/or targeted therapies, immunotherapy might be a valid alternative in the lung cancer treatment field, as immunotherapy attempts to strengthen the body’s own immune response to recognize and eliminate malignant tumor cells. However, positive response patterns to immunotherapy remain unclear. In this study, we demonstrate how immune-related factors could be visualized from single NSCLC tissue sections (Biobank@UZA) while retaining their spatial information by using matrix assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI), in order to unravel the molecular profile of NSCLC patients. In this way, different regions in lung cancerous tissues could be discriminated based on the molecular composition. In addition, we linked visualization (MALDI MSI) and identification (based on liquid chromatography higher resolution mass spectrometry) of the molecules of interest for the correct biological interpretation of the observed molecular differences within the area in which these molecules are detected. This is of major importance to fully understand the underlying molecular profile of the NSCLC tumor microenvironment. MDPI 2019-05-28 /pmc/articles/PMC6632162/ /pubmed/31164623 http://dx.doi.org/10.3390/mps2020044 Text en © 2019 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
Berghmans, Eline
Van Raemdonck, Geert
Schildermans, Karin
Willems, Hanny
Boonen, Kurt
Maes, Evelyne
Mertens, Inge
Pauwels, Patrick
Baggerman, Geert
MALDI Mass Spectrometry Imaging Linked with Top-Down Proteomics as a Tool to Study the Non-Small-Cell Lung Cancer Tumor Microenvironment
title MALDI Mass Spectrometry Imaging Linked with Top-Down Proteomics as a Tool to Study the Non-Small-Cell Lung Cancer Tumor Microenvironment
title_full MALDI Mass Spectrometry Imaging Linked with Top-Down Proteomics as a Tool to Study the Non-Small-Cell Lung Cancer Tumor Microenvironment
title_fullStr MALDI Mass Spectrometry Imaging Linked with Top-Down Proteomics as a Tool to Study the Non-Small-Cell Lung Cancer Tumor Microenvironment
title_full_unstemmed MALDI Mass Spectrometry Imaging Linked with Top-Down Proteomics as a Tool to Study the Non-Small-Cell Lung Cancer Tumor Microenvironment
title_short MALDI Mass Spectrometry Imaging Linked with Top-Down Proteomics as a Tool to Study the Non-Small-Cell Lung Cancer Tumor Microenvironment
title_sort maldi mass spectrometry imaging linked with top-down proteomics as a tool to study the non-small-cell lung cancer tumor microenvironment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6632162/
https://www.ncbi.nlm.nih.gov/pubmed/31164623
http://dx.doi.org/10.3390/mps2020044
work_keys_str_mv AT berghmanseline maldimassspectrometryimaginglinkedwithtopdownproteomicsasatooltostudythenonsmallcelllungcancertumormicroenvironment
AT vanraemdonckgeert maldimassspectrometryimaginglinkedwithtopdownproteomicsasatooltostudythenonsmallcelllungcancertumormicroenvironment
AT schildermanskarin maldimassspectrometryimaginglinkedwithtopdownproteomicsasatooltostudythenonsmallcelllungcancertumormicroenvironment
AT willemshanny maldimassspectrometryimaginglinkedwithtopdownproteomicsasatooltostudythenonsmallcelllungcancertumormicroenvironment
AT boonenkurt maldimassspectrometryimaginglinkedwithtopdownproteomicsasatooltostudythenonsmallcelllungcancertumormicroenvironment
AT maesevelyne maldimassspectrometryimaginglinkedwithtopdownproteomicsasatooltostudythenonsmallcelllungcancertumormicroenvironment
AT mertensinge maldimassspectrometryimaginglinkedwithtopdownproteomicsasatooltostudythenonsmallcelllungcancertumormicroenvironment
AT pauwelspatrick maldimassspectrometryimaginglinkedwithtopdownproteomicsasatooltostudythenonsmallcelllungcancertumormicroenvironment
AT baggermangeert maldimassspectrometryimaginglinkedwithtopdownproteomicsasatooltostudythenonsmallcelllungcancertumormicroenvironment