Evidence map›Paper›PMID 33514438›Full record

ArticleCancer & metabolism2021

Spatial differentiation of metabolism in prostate cancer tissue by MALDI-TOF MSI.

Maria K Andersen, Therese S Høiem, Britt S R Claes, Benjamin Balluff, Marta Martin-Lorenzo, Elin Richardsen, Sebastian Krossa, Helena Bertilsson, Ron M A Heeren, Morten B Rye and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancer & metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
9.5field-weighted citation impact, top 1% of its field
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

65 citing papers in PubMed, 115 citations in OpenAlex.

  1. Article
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  5. Advances in spatial omics for the analysis of prostate cancer.Analytical and bioanalytical chemistry · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Mass Spectrometry-Based Spatial Imaging of the Cochlea.Journal of the American Society for Mass Spectrometry · 2026
    Article
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  13. Review
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5 more citing papers are in PubMed but not listed here.

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

13 authors at 3 institutions in 2 countries.

Maria K AndersenDepartment of Circulation and Medical Imaging, NTNU-Norwegian University of Science and Technology, Trondheim, Norway. maria.k.andersen@ntnu.no.ORCID http://orcid.org/0000-0003-2883-2450
Therese S HøiemDepartment of Circulation and Medical Imaging, NTNU-Norwegian University of Science and Technology, Trondheim, Norway.
Britt S R ClaesMaastricht MultiModal Molecular Imaging institute (M4I), Maastricht University, Maastricht, The Netherlands.
Benjamin BalluffMaastricht MultiModal Molecular Imaging institute (M4I), Maastricht University, Maastricht, The Netherlands.
Marta Martin-LorenzoMaastricht MultiModal Molecular Imaging institute (M4I), Maastricht University, Maastricht, The Netherlands.
Elin RichardsenDepartment of Medical Biology, UiT The Artic University of Norway, Tromsø, Norway.
Sebastian KrossaDepartment of Circulation and Medical Imaging, NTNU-Norwegian University of Science and Technology, Trondheim, Norway.
Helena BertilssonDepartment of Clinical and Molecular Medicine, NTNU-Norwegian University of Science and Technology, Trondheim, Norway.
Ron M A HeerenMaastricht MultiModal Molecular Imaging institute (M4I), Maastricht University, Maastricht, The Netherlands.
Morten B RyeDepartment of Clinical and Molecular Medicine, NTNU-Norwegian University of Science and Technology, Trondheim, Norway.
Guro F GiskeødegårdDepartment of Circulation and Medical Imaging, NTNU-Norwegian University of Science and Technology, Trondheim, Norway.
Tone F BathenDepartment of Circulation and Medical Imaging, NTNU-Norwegian University of Science and Technology, Trondheim, Norway.
May-Britt TessemDepartment of Circulation and Medical Imaging, NTNU-Norwegian University of Science and Technology, Trondheim, Norway. may-britt.tessem@ntnu.no.
Norwegian University of Science and Technology · NOMaastricht University · NLUniversity Hospital of North Norway · NO

Funding

Horizon 2020 () 758306
6 · The paper itself

Abstract

backgroundProstate cancer tissues are inherently heterogeneous, which presents a challenge for metabolic profiling using traditional bulk analysis methods that produce an averaged profile. The aim of this study was therefore to spatially detect metabolites and lipids on prostate tissue sections by using mass spectrometry imaging (MSI), a method that facilitates molecular imaging of heterogeneous tissue sections, which can subsequently be related to the histology of the same section.

methodsHere, we simultaneously obtained metabolic and lipidomic profiles in different prostate tissue types using matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) MSI. Both positive and negative ion mode were applied to analyze consecutive sections from 45 fresh-frozen human prostate tissue samples (N = 15 patients). Mass identification was performed with tandem MS.

resultsPairwise comparisons of cancer, non-cancer epithelium, and stroma revealed several metabolic differences between the tissue types. We detected increased levels of metabolites crucial for lipid metabolism in cancer, including metabolites involved in the carnitine shuttle, which facilitates fatty acid oxidation, and building blocks needed for lipid synthesis. Metabolites associated with healthy prostate functions, including citrate, aspartate, zinc, and spermine had lower levels in cancer compared to non-cancer epithelium. Profiling of stroma revealed higher levels of important energy metabolites, such as ADP, ATP, and glucose, and higher levels of the antioxidant taurine compared to cancer and non-cancer epithelium.

conclusionsThis study shows that specific tissue compartments within prostate cancer samples have distinct metabolic profiles and pinpoint the advantage of methodology providing spatial information compared to bulk analysis. We identified several differential metabolites and lipids that have potential to be developed further as diagnostic and prognostic biomarkers for prostate cancer. Spatial and rapid detection of cancer-related analytes showcases MALDI-TOF MSI as a promising and innovative diagnostic tool for the clinic.

Indexed as

Mass spectrometry imagingMetabolismProstate cancerTumor heterogeneity

Identifiers

PMID33514438
PMCPMC7847144
OpenAlexW3121371466

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.