Evidence map›Paper›PMID 34564393›Full record

ArticleMetabolites2021

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

Vanna Denti, Maria K Andersen, Andrew Smith, Anna Mary Bofin, Anna Nordborg, Fulvio Magni, Siver Andreas Moestue, Marco Giampà

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Visualization of Small Intact Proteins in Breast Cancer FFPE Tissue.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  8. Sample Preparation for Metabolite Detection in Mass Spectrometry Imaging.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  9. Article
  10. Article
  11. Article
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

8 authors at 3 institutions in 2 countries.

Vanna DentiProteomics and Metabolomics Unit, Department of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, MB, Italy.ORCID 0000-0001-6373-689X
Maria K AndersenDepartment of Circulation and Medical Imaging, NTNU-Norwegian University of Science and Technology, 7491 Trondheim, Norway.ORCID 0000-0003-2883-2450
Andrew SmithProteomics and Metabolomics Unit, Department of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, MB, Italy.ORCID 0000-0001-6530-6113
Anna Mary BofinDepartment of Clinical and Molecular Medicine, NTNU-Norwegian University of Science and Technology, 7491 Trondheim, Norway.
Anna NordborgDepartment of Biotechnology and Nanomedicine, SINTEF, 7034 Trondheim, Norway.
Fulvio MagniProteomics and Metabolomics Unit, Department of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, MB, Italy.
Siver Andreas MoestueDepartment of Clinical and Molecular Medicine, NTNU-Norwegian University of Science and Technology, 7491 Trondheim, Norway.ORCID 0000-0002-1940-5695
Marco GiampàDepartment of Clinical and Molecular Medicine, NTNU-Norwegian University of Science and Technology, 7491 Trondheim, Norway.ORCID 0000-0002-8847-9604
Norwegian University of Science and Technology · NOUniversity of Milano-Bicocca · ITSINTEF · NO

Funding

Kreftforeningen 198069
6 · The paper itself

Abstract

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.

Indexed as

breast cancerdiagnosisFFPE tissuelipidomicsMALDI MSI

Identifiers

PMID34564393
PMCPMC8467053
OpenAlexW3195466348

What Socratic holds

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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 Socratic graph.