Evidence map›Paper›PMID 33247337›Full record

ReviewAnalytical and bioanalytical chemistry2021

Potential impact of tissue molecular heterogeneity on ambient mass spectrometry profiles: a note of caution in choosing the right disease model.

Lauren Katz, Michael Woolman, Alessandra Tata, Arash Zarrine-Afsar

Abstract readReview
PubMed Publisher
In one paragraph

Review in Analytical and bioanalytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

4 authors.

Lauren KatzTechna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, ON, M5G 1P5, Canada.
Michael WoolmanTechna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, ON, M5G 1P5, Canada.
Alessandra TataLaboratorio di Chimica Sperimentale, Istituto Zooprofilattico delle Venezie, Viale Fiume 78, 36100, Vicenza, Italy.
Arash Zarrine-AfsarTechna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, ON, M5G 1P5, Canada. arash.zarrine.afsar@utoronto.ca.ORCID http://orcid.org/0000-0002-8013-6893

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review provides a summary of known molecular alterations in commonly used cancer models and strives to stipulate how they may affect ambient mass spectrometry profiles. Immortalized cell lines are known to accumulate mutations, and xenografts derived from cell lines are known to contain tumour microenvironment elements from the host animal. While the use of human specimens for mass spectrometry profiling studies is highly encouraged, patient-derived xenografts with low passage numbers could provide an alternative means of amplifying material for ambient MS research when needed. Similarly, genetic preservation of patient tissue seen in some organoid models, further verified by qualitative proteomic and transcriptomic analyses, may argue in favor of organoid suitability for certain ambient profiling studies. However, to choose the appropriate model, pre-evaluation of the model's molecular characteristics in the context of the research question(s) being asked will likely provide the most appropriate strategy to move research forward. This can be achieved by performing comparative ambient MS analysis of the disease model of choice against a small amount of patient tissue to verify concordance. Disease models, however, will continue to be useful tools to orthogonally validate metabolic states of patient tissues through controlled genetic alterations that are not possible with patient specimens.

Indexed as

AnimalsBiomarkers, TumorCell Line, TumorDisease Models, AnimalHumansMass SpectrometryNeoplasmsNeoplasm TransplantationOrganoidsBiomarkers, TumorAmbient mass spectrometryAnimal models of cancerCell line models of diseaseLipid imaging and analysisMass spectrometry imagingMetabolomics

Identifiers

What OpenQuestion holds

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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.