Evidence map›Paper›PMID 31164623›Full record

ArticleMethods and protocols2019

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

Eline Berghmans, Geert Van Raemdonck, Karin Schildermans, Hanny Willems, Kurt Boonen, Evelyne Maes, Inge Mertens, Patrick Pauwels, Geert Baggerman

Abstract read
In one paragraph

Article in Methods and protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Eline BerghmansCentre for Proteomics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium. eline.berghmans@vito.be.
Geert Van RaemdonckCentre for Proteomics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium. Geert.vanraemdonck@uantwerpen.be.
Karin SchildermansCentre for Proteomics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium. karin.schildermans@uantwerpen.be.
Hanny WillemsCentre for Proteomics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium. Hanny.willems@vito.be.
Kurt BoonenCentre for Proteomics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium. kurt.boonen@vito.be.
Evelyne MaesFood & Bio-Based Products, AgResearch Ltd., 8140 Christchurch, New Zealand. Evelyne.maes@agresearch.co.nz.
Inge MertensCentre for Proteomics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium. inge.mertens@vito.be.
Patrick PauwelsDepartment of Pathology, Antwerp University Hospital, Wilrijkstraat 10, 2650 Edegem, Belgium. patrick.pauwels@uza.be.
Geert BaggermanCentre for Proteomics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium. Geert.Baggerman@vito.be.

Funding

Fonds Wetenschappelijk Onderzoek G0E7816N
6 · The paper itself

Abstract

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.

Indexed as

Carnoy’s washing procedureendogenous peptideshigh resolution mass spectrometryMALDI mass spectrometry imagingNSCLCtissue preparationtop-down

Identifiers

PMID31164623
PMCPMC6632162

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.