Evidence map›Paper›PMID 27730523›Full record

ArticleJournal of the American Society for Mass Spectrometry2017

An Assessment of the Utility of Tissue Smears in Rapid Cancer Profiling with Desorption Electrospray Ionization Mass Spectrometry (DESI-MS).

Michael Woolman, Alessandra Tata, Emma Bluemke, Delaram Dara, Howard J Ginsberg, Arash Zarrine-Afsar

Abstract read
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In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 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
3.4field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Intraoperative assessment of tumor margins during glioma resection by desorption electrospray ionization-mass spectrometry.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Trial
  2. Review
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  6. Preoperative metabolic classification of thyroid nodules using mass spectrometry imaging of fine-needle aspiration biopsies.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  7. Review
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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

6 authors at 2 institutions in 1 country.

Michael WoolmanTechna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada.
Alessandra TataTechna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada.
Emma BluemkeTechna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada.
Delaram DaraTechna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada.
Howard J GinsbergTechna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada.
Arash Zarrine-AfsarTechna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada. arash.zarrine.afsar@utoronto.ca.
University Health Network · CASt. Michael's Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass spectrometry imaging with desorption electrospray ionization mass spectrometry (DESI-MS) is used to characterize cancer from ex vivo slices of tissues. The process is time-consuming. The use of tissue smears for DESI-MS analysis has been proposed as it eliminates the time required to snap-freeze and section the tissue. To assess the utility of tissue smears for rapid cancer characterization, principal component analysis (PCA) was performed to evaluate the concordance between DESI-MS profiles of breast cancer from tissue slices and smears prepared on various surfaces. PCA suggested no statistical discrimination between DESI-MS profiles of tissue sections and tissue smears prepared on glass, polytetrafluoroethylene (PTFE), and porous PTFE. However, the abundances of cancer biomarker ions varied between sections and smears, with DESI-MS analysis of tissue sections yielding higher ion abundances of cancer biomarkers compared with smears. Coefficient of variance (CV) analysis suggests DESI-MS profiles from tissue smears are as reproducible as the ones from tissue sections. The limit of detection with smear samples from single pixel analysis is comparable to tissue sections that average the signal from a tissue area of 0.01 mm

Indexed as

AnimalsBiomarkers, TumorBreastCell Line, TumorFemaleHumansMice, SCIDPrincipal Component AnalysisReproducibility of ResultsSpectrometry, Mass, Electrospray IonizationTriple Negative Breast NeoplasmsBiomarkers, TumorBreast cancerDESI-MSDESI-MS imagingMS profilingTumor smear

Identifiers

PMID27730523
OpenAlexW2530765965

What OpenQuestion holds

Textmetadata
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.