Evidence map›Paper›PMID 33467651›Full record

ReviewCancers2021

3D Cell Cultures as Prospective Models to Study Extracellular Vesicles in Cancer.

Guillermo Bordanaba-Florit, Iratxe Madarieta, Beatriz Olalde, Juan M Falcón-Pérez, Félix Royo

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

5 authors at 3 institutions in 1 country.

Guillermo Bordanaba-FloritCenter for Cooperative Research in Biosciences (CIC bioGUNE), Exosomes Laboratory, Basque Research and Technology Alliance (BRTA), E48160 Derio, Spain.ORCID 0000-0002-6562-9331
Iratxe MadarietaTECNALIA Basque Research and Technology Alliance (BRTA), E20009 Donostia San Sebastian, Spain.ORCID 0000-0002-1097-9326
Beatriz OlaldeTECNALIA Basque Research and Technology Alliance (BRTA), E20009 Donostia San Sebastian, Spain.ORCID 0000-0003-4523-0849
Juan M Falcón-PérezCenter for Cooperative Research in Biosciences (CIC bioGUNE), Exosomes Laboratory, Basque Research and Technology Alliance (BRTA), E48160 Derio, Spain.ORCID 0000-0003-3133-0670
Félix RoyoCenter for Cooperative Research in Biosciences (CIC bioGUNE), Exosomes Laboratory, Basque Research and Technology Alliance (BRTA), E48160 Derio, Spain.ORCID 0000-0001-9769-4165
CIC bioGUNE · ESTecnalia · ESIkerbasque · ES

Funding

Horizon 2020 Framework Programme 860303Severo Ochoa Excellence Grant SEV-2016-0644Spanish ministry of Science and Innovation RTI2018-094969-B-I00
6 · The paper itself

Abstract

The improvement of culturing techniques to model the environment and physiological conditions surrounding tumors has also been applied to the study of extracellular vesicles (EVs) in cancer research. EVs role is not only limited to cell-to-cell communication in tumor physiology, they are also a promising source of biomarkers, and a tool to deliver drugs and induce antitumoral activity. In the present review, we have addressed the improvements achieved by using 3D culture models to evaluate the role of EVs in tumor progression and the potential applications of EVs in diagnostics and therapeutics. The most employed assays are gel-based spheroids, often utilized to examine the cell invasion rate and angiogenesis markers upon EVs treatment. To study EVs as drug carriers, a more complex multicellular cultures and organoids from cancer stem cell populations have been developed. Such strategies provide a closer response to in vivo physiology observed responses. They are also the best models to understand the complex interactions between different populations of cells and the extracellular matrix, in which tumor-derived EVs modify epithelial or mesenchymal cells to become protumor agents. Finally, the growth of cells in 3D bioreactor-like systems is appointed as the best approach to industrial EVs production, a necessary step toward clinical translation of EVs-based therapy.

Indexed as

3D culturecancerextracellular vesiclestherapytumoral cells

Identifiers

PMID33467651
PMCPMC7830667
OpenAlexW3118611636

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.