Evidence map›Paper›PMID 29194417›Full record

ReviewInternational journal of molecular sciences2017

Matrix-Assisted Laser Desorption/Ionisation Mass Spectrometry Imaging in the Study of Gastric Cancer: A Mini Review.

Andrew Smith, Isabella Piga, Manuel Galli, Martina Stella, Vanna Denti, Marina Del Puppo, Fulvio Magni

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2017. 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.

  1. Review
  2. Lipidomics, Microbiota, and IntestinalInternational journal of molecular sciences · 2025
    Review
  3. Research advances in the molecular classification of gastric cancer.Cellular oncology (Dordrecht, Netherlands) · 2024
    Review
  4. Applications of MALDI mass spectrometry in forensic science.Analytical and bioanalytical chemistry · 2024
    Review
  5. Article
  6. The foundations and development of lipidomics.Journal of lipid research · 2022
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Molecular Features Distinguish Gastric Cancer Subtypes.International journal of molecular sciences · 2018
    Article
  12. Review
  13. Review
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

7 authors.

Andrew SmithDepartment of Medicine and Surgery, University of Milano-Bicocca, Clinical Proteomics and Metabolomics Unit, 20854 Vedano al Lambro, Italy. andrew.smith@unimib.it.
Isabella PigaDepartment of Medicine and Surgery, University of Milano-Bicocca, Clinical Proteomics and Metabolomics Unit, 20854 Vedano al Lambro, Italy. isabella.piga@unimib.it.ORCID 0000-0001-8221-2493
Manuel GalliDepartment of Medicine and Surgery, University of Milano-Bicocca, Clinical Proteomics and Metabolomics Unit, 20854 Vedano al Lambro, Italy. m.galli27@campus.unimib.it.
Martina StellaDepartment of Medicine and Surgery, University of Milano-Bicocca, Clinical Proteomics and Metabolomics Unit, 20854 Vedano al Lambro, Italy. m.stella12@campus.unimib.it.
Vanna DentiDepartment of Medicine and Surgery, University of Milano-Bicocca, Clinical Proteomics and Metabolomics Unit, 20854 Vedano al Lambro, Italy. v.denti@campus.unimib.it.
Marina Del PuppoDepartment of Medicine and Surgery, University of Milano-Bicocca, Clinical Proteomics and Metabolomics Unit, 20854 Vedano al Lambro, Italy. marina.delpuppo@unimib.it.
Fulvio MagniDepartment of Medicine and Surgery, University of Milano-Bicocca, Clinical Proteomics and Metabolomics Unit, 20854 Vedano al Lambro, Italy. fulvio.magni@unimib.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is one of the leading causes of cancer-related deaths worldwide and the disease outcome commonly depends upon the tumour stage at the time of diagnosis. However, this cancer can often be asymptomatic during the early stages and remain undetected until the later stages of tumour development, having a significant impact on patient prognosis. However, our comprehension of the mechanisms underlying the development of gastric malignancies is still lacking. For these reasons, the search for new diagnostic and prognostic markers for gastric cancer is an ongoing pursuit. Modern mass spectrometry imaging (MSI) techniques, in particular matrix-assisted laser desorption/ionisation (MALDI), have emerged as a plausible tool in clinical pathology as a whole. More specifically, MALDI-MSI is being increasingly employed in the study of gastric cancer and has already elucidated some important disease checkpoints that may help us to better understand the molecular mechanisms underpinning this aggressive cancer. Here we report the state of the art of MALDI-MSI approaches, ranging from sample preparation to statistical analysis, and provide a complete review of the key findings that have been reported in the literature thus far.

Indexed as

AnimalsHumansImage Interpretation, Computer-AssistedPrognosisSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationStomach Neoplasmsgastric cancerlipidomicsMALDI imagingmetabolomicsproteomics

Identifiers

PMID29194417
PMCPMC5751191

What OpenQuestion holds

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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.