Evidence map›Paper›PMID 31007874›Full record

ArticleJournal of extracellular vesicles2019

Gábor Valcz, Edit I Buzás, Ágnes Kittel, Tibor Krenács, Tamás Visnovitz, Sándor Spisák, György Török, László Homolya, Sára Zsigrai, Gábor Kiszler and 12 more

Open access · goldAbstract read
In one paragraph

Article in Journal of extracellular vesicles, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

30 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Review
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  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Extracellular Vesicles: Biology and Therapeutic Applications.International journal of molecular sciences · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Advances in Therapeutic Applications of Extracellular Vesicles.International journal of nanomedicine · 2023
    Review
  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

22 authors at 9 institutions in 2 countries.

Gábor ValczMolecular Medicine Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary.
Edit I BuzásDepartment of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-3744-206X
Ágnes KittelInstitute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary.
Tibor Krenács1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary.ORCID 0000-0001-9164-065X
Tamás VisnovitzDepartment of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary.
Sándor SpisákDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, USA.
György TörökInstitute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary.
László HomolyaInstitute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary.ORCID 0000-0003-1639-8140
Sára Zsigrai2nd Department of Medicine, Semmelweis University, Budapest, Hungary.
Gábor KiszlerDepartment of Image Analysis, 3DHISTECH Ltd, Budapest, Hungary.
Géza AntalffyDepartment of Image Analysis, 3DHISTECH Ltd, Budapest, Hungary.
Krisztina PálócziDepartment of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary.
Zoltán SzállásiComputational Health Informatics Program (CHIP), Boston Children's Hospital and Harvard Medical School, Boston, USA.
Vanessza SzabóDepartment of Image Analysis, 3DHISTECH Ltd, Budapest, Hungary.
Anna Sebestyén1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary.
Norbert SolymosiCentre for Bioinformatics, University of Veterinary Medicine, Budapest, Hungary.
Alexandra KalmárMolecular Medicine Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary.ORCID 0000-0002-3824-1534
Kristóf DedeDepartment of General Surgery and Surgical Oncology, Uzsoki Teaching Hospital, Budapest, Hungary.
Péter LőrinczDepartment of Anatomy, Cell and Developmental Biology, Eötvös Loránd University, Budapest, Hungary.ORCID 0000-0001-7374-667X
Zsolt TulassayMolecular Medicine Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary.ORCID 0000-0003-2452-6640
Péter IgazMolecular Medicine Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary.ORCID 0000-0003-2192-554X
Béla MolnárMolecular Medicine Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary.ORCID 0000-0001-5147-1273
Semmelweis University · HUNational Széchényi Library · HUInstitute of Molecular Life Sciences · HUBoston University · USDana-Farber Cancer Institute · USEötvös Loránd University · HUHUN-REN Institute of Experimental Medicine · HUUniversity of Veterinary Medicine · HUUzsoki Hospital · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small extracellular vesicles (EVs) are membrane enclosed structures that are usually released from cells upon exocytosis of multivesicular bodies (MVBs) as a collection of separate, free EVs. In this study, we analysed paraffin embedded sections of archived human colorectal cancer samples. We studied 3D reconstructions of confocal microscopic images complemented by HyVolution and STED imaging. Unexpectedly, we found evidence that large, MVB-like aggregates of ALIX/CD63 positive EV clusters were released

Indexed as

colorectal carcinomaEVmigrating cancer cellsMVB

Identifiers

PMID31007874
PMCPMC6461071
OpenAlexW2944046771

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.