Evidence map›Paper›PMID 39487276›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2024

Untargeted metabolomic profiling of small extracellular vesicles reveals potential new biomarkers for triple negative breast cancer.

Rochelle D'Mello, Nico Hüttmann, Zoran Minic, Maxim V Berezovski

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Article in Metabolomics : Official journal of the Metabolomic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

4 authors.

Rochelle D'MelloDepartment of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, Canada.
Nico HüttmannJohn L. Holmes Biological Mass Spectrometry Facility, University of Ottawa, Ottawa, Canada.
Zoran MinicJohn L. Holmes Biological Mass Spectrometry Facility, University of Ottawa, Ottawa, Canada. zminic@uottawa.ca.
Maxim V BerezovskiDepartment of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, Canada. maxim.berezovski@uottawa.ca.

Funding

the Natural Sciences and Engineering Research Council of Canada RGPIN-2020-05775
6 · The paper itself

Abstract

introductionBreast Cancer (BC) is one of the most diagnosed malignancies among women and the second leading cause of cancer related death in North America. Triple Negative BC (TNBC), one of the most severe subtypes of BC, is extremely aggressive and has a higher chance of occurrence in women under 50 years of age. Due to a lack of regular mammographic testing in women under 50, many individuals with TNBC are diagnosed late which can decrease their survival rate. Currently, liquid biopsy is being investigated as a potentially less-invasive alternative to traditional breast tissue biopsy, but this approach is not completely reliable. Blood contains extracellular vesicles (EVs), which carry biomolecular cargo and play a role in BC progression and metastasis. Examination of small EVs could potentially yield metabolite biomarkers for early BC diagnosis.

objectiveWe aim to study metabolites in small EVs to find biomarkers for BC diagnosis.

methodsIn this work, an untargeted nano-LC MS/MS metabolomics approach was used to analyze metabolites from small EVs derived from metastatic MDA-MB-231 and compare it with a non-cancerous MCF10A cell line.

resultsTwo metabolites, LysoPC 22:6/0:0 and N-acetyl-L-Phenylalanine, unique to sEVs of MDA-MB-231, were identified, validated, and proposed as potential BC biomarkers.

conclusionMetabolites from sEVs may be used for BC diagnosis.

Indexed as

Biomarkers, TumorExtracellular VesiclesMetabolomicsTriple Negative Breast NeoplasmsCell Line, TumorChromatography, LiquidFemaleHumansMetabolomeTandem Mass SpectrometryBiomarkers, TumorBiomarkersBreast cancerDiagnosisSmall extracellular vesiclesUntargeted metabolomics

Identifiers

PMID39487276

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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.