Evidence map›Paper›PMID 34948336›Full record

ArticleInternational journal of molecular sciences2021

Metabolomic Profiling of Blood-Derived Microvesicles in Breast Cancer Patients.

Judith Buentzel, Henry Gerd Klemp, Ralph Kraetzner, Matthias Schulz, Gry Helene Dihazi, Frank Streit, Annalen Bleckmann, Kerstin Menck, Darius Wlochowitz, Claudia Binder

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  13. Metabolic features of tumor-derived extracellular vesicles: challenges and opportunities.Extracellular vesicles and circulating nucleic acids · 2024
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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

10 authors at 2 institutions in 1 country.

Judith BuentzelDepartment of Hematology and Medical Oncology, University Medical Center Goettingen, 37075 Goettingen, Germany.
Henry Gerd KlempDepartment of Pediatrics and Adolescent Medicine, University Medical Center Goettingen, 37075 Goettingen, Germany.ORCID 0000-0002-3147-3017
Ralph KraetznerDepartment of Pediatrics and Adolescent Medicine, University Medical Center Goettingen, 37075 Goettingen, Germany.
Matthias SchulzDepartment of Hematology and Medical Oncology, University Medical Center Goettingen, 37075 Goettingen, Germany.
Gry Helene DihaziMetabolomics Platform, Department of Clinical Chemistry, University Medical Center Goettingen, 37075 Goettingen, Germany.
Frank StreitMetabolomics Platform, Department of Clinical Chemistry, University Medical Center Goettingen, 37075 Goettingen, Germany.
Annalen BleckmannDepartment of Hematology and Medical Oncology, University Medical Center Goettingen, 37075 Goettingen, Germany.
Kerstin MenckDepartment of Medicine A (Hematology, Oncology, Hemostaseology and Pulmonology), University Hospital Muenster, 48149 Muenster, Germany.ORCID 0000-0002-8188-0163
Darius WlochowitzMedical Bioinformatics, University Medical Center Goettingen, 37075 Goettingen, Germany.
Claudia BinderDepartment of Hematology and Medical Oncology, University Medical Center Goettingen, 37075 Goettingen, Germany.
University of Göttingen · DEUniversity Hospital Münster · DE

Funding

Gerdes Stiftung Gerdes Stiftung
6 · The paper itself

Abstract

Malignant cells differ from benign ones in their metabolome and it is largely unknown whether this difference is reflected in the metabolic profile of their microvesicles (MV), which are secreted into the blood of cancer patients. Here, they are present together with MV from the various blood and endothelial cells. Harvesting MV from 78 breast cancer patients (BC) and 30 controls, we characterized the whole blood MV metabolome using targeted and untargeted mass spectrometry. Especially (lyso)-phosphatidylcholines and sphingomyelins were detected in a relevant abundance. Eight metabolites showed a significant discriminatory power between BC and controls. High concentrations of lysoPCaC26:0 and PCaaC38:5 were associated with shorter overall survival. Comparing BC subtype-specific metabolome profiles, 24 metabolites were differentially expressed between luminal A and luminal B. Pathway analysis revealed alterations in the glycerophospholipid metabolism for the whole cancer cohort and in the ether lipid metabolism for the molecular subtype luminal B. Although this mixture of blood-derived MV contains only a minor number of tumor MV, a combination of metabolites was identified that distinguished between BC and controls as well as between molecular subtypes, and was predictive for overall survival. This suggests that these metabolites represent promising biomarkers and, moreover, that they may be functionally relevant for tumor progression.

Indexed as

MetabolomeAdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsExtracellular VesiclesFemaleHumansMass SpectrometryMetabolomicsMiddle AgedPhosphatidylcholinesSphingomyelinsYoung AdultBiomarkers, TumorPhosphatidylcholinesSphingomyelinsbiomarkerbreast cancerextracellular vesiclesmetabolic profilingmolecular breast cancer subtypes

Identifiers

PMID34948336
PMCPMC8707654
OpenAlexW4200173612

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.