Evidence map›Paper›PMID 34295456›Full record

ArticleJournal of extracellular vesicles2021

Extracellular vesicle miRNA predict FDG-PET status in patients with classical Hodgkin Lymphoma.

Esther E E Drees, Margaretha G M Roemer, Nils J Groenewegen, Jennifer Perez-Boza, Monique A J van Eijndhoven, Leah I Prins, Sandra A W M Verkuijlen, Xuan-Mai Tran, Julia Driessen, G J C Zwezerijnen and 14 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of extracellular vesicles, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
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  9. Review
  10. Hodgkin lymphoma and liquid biopsy: a story to be told.Journal of experimental & clinical cancer research : CR · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Migrasome, a migration-dependent organelle.Frontiers in cell and developmental biology · 2024
    Review
  15. Clinical applications and challenges in the field of extracellular vesicles.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2023
    Article
  16. Article
  17. Review
  18. Article
  19. The Impact of Semiautomatic Segmentation Methods on Metabolic Tumor Volume, Intensity, and Dissemination Radiomics inJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
  20. Article
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

24 authors at 4 institutions in 2 countries.

Esther E E DreesDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.ORCID 0000-0003-3551-0038
Margaretha G M RoemerDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.ORCID 0000-0003-0220-3496
Nils J GroenewegenDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.
Jennifer Perez-BozaDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.ORCID 0000-0003-3843-494X
Monique A J van EijndhovenDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.
Leah I PrinsDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.
Sandra A W M VerkuijlenDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.
Xuan-Mai TranDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.
Julia DriessenDepartment of Hematology Amsterdam UMC Cancer Center Amsterdam, University of Amsterdam Amsterdam The Netherlands.
G J C ZwezerijnenDepartment of Radiology and Nuclear Medicine Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.
Phylicia StathiDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.
Kevin MolDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.
Joey J J P KarregatDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.
Aikaterini KalantidouDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.
Andrea Vallés-MartíDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.
T J MolenaarDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.
Ernesto Aparicio-PuertaDepartment of Genetics Computational Epigenomics and Bioinformatics University of Granada Granada Spain.
Erik van DijkDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.
Bauke YlstraDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.
Catharina G M Groothuis-OudshoornDepartment of Health Technology and Services Research Technical Medical Centre University of Twente Enschede The Netherlands.
Michael HackenbergExBiome B.V. Amsterdam The Netherlands.ORCID 0000-0003-2248-3114
Daphne de JongDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.
Josée M ZijlstraDepartment of Hematology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.ORCID 0000-0003-1074-5922
D Michiel PegtelDepartment of Pathology Cancer Center Amsterdam Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands.ORCID 0000-0002-7357-4406
Amsterdam University Medical Centers · NLAmsterdam Neuroscience · NLUniversidad de Granada · ESUniversity of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimally-invasive tools to assess tumour presence and burden may improve clinical management. FDG-PET (metabolic) imaging is the current gold standard for interim response assessment in patients with classical Hodgkin Lymphoma (cHL), but this technique cannot be repeated frequently. Here we show that microRNAs (miRNA) associated with tumour-secreted extracellular vesicles (EVs) in the circulation of cHL patients may improve response assessment. Small RNA sequencing and qRT-PCR reveal that the relative abundance of cHL-expressed miRNAs, miR-127-3p, miR-155-5p, miR-21-5p, miR-24-3p and let-7a-5p is up to hundred-fold increased in plasma EVs of cHL patients pre-treatment when compared to complete metabolic responders (CMR). Notably, in partial responders (PR) or treatment-refractory cases (

Indexed as

Positron-Emission TomographyAdultAgedBiomarkers, TumorCell Line, TumorCohort StudiesDNA Copy Number VariationsExtracellular VesiclesFluorodeoxyglucose F18Hodgkin DiseaseHumansLongitudinal StudiesMaleMicroRNAsMiddle AgedPredictive Value of TestsBiomarkers, TumorFluorodeoxyglucose F18MicroRNAsbloodextracellular vesiclesHodgkin lymphomaliquid biopsymiRNAresponse monitoring

Identifiers

PMID34295456
PMCPMC8282992
OpenAlexW3183772898

What OpenQuestion holds

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LicenceCC BY
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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.