Evidence map›Paper›PMID 33256036›Full record

ReviewPharmaceutics2020

Extracellular Vesicles as Drug Delivery Systems in Cancer.

Laia Hernandez-Oller, Joaquin Seras-Franzoso, Fernanda Andrade, Diana Rafael, Ibane Abasolo, Petra Gener, Simo Schwartz

Open access · goldAbstract readReview
In one paragraph

Review in Pharmaceutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 11% 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, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Systematic review: Association between circulating microRNA expression & stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Pooled it
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  12. Importance and implications of exosomes in nephrology and urology.Pflugers Archiv : European journal of physiology · 2023
    Review
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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

7 authors at 1 institution in 1 country.

Laia Hernandez-OllerDrug Delivery and Targeting Group, Molecular Biology and Biochemistry Research Centre for Nanomedicine (CIBBIM-Nanomedicine), Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain.ORCID 0000-0003-4116-6595
Joaquin Seras-FranzosoDrug Delivery and Targeting Group, Molecular Biology and Biochemistry Research Centre for Nanomedicine (CIBBIM-Nanomedicine), Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain.
Fernanda AndradeDrug Delivery and Targeting Group, Molecular Biology and Biochemistry Research Centre for Nanomedicine (CIBBIM-Nanomedicine), Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain.
Diana RafaelDrug Delivery and Targeting Group, Molecular Biology and Biochemistry Research Centre for Nanomedicine (CIBBIM-Nanomedicine), Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain.ORCID 0000-0003-3180-3028
Ibane AbasoloDrug Delivery and Targeting Group, Molecular Biology and Biochemistry Research Centre for Nanomedicine (CIBBIM-Nanomedicine), Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain.ORCID 0000-0001-5970-6276
Petra GenerDrug Delivery and Targeting Group, Molecular Biology and Biochemistry Research Centre for Nanomedicine (CIBBIM-Nanomedicine), Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain.ORCID 0000-0002-2250-570X
Simo SchwartzDrug Delivery and Targeting Group, Molecular Biology and Biochemistry Research Centre for Nanomedicine (CIBBIM-Nanomedicine), Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain.ORCID 0000-0001-8297-7971
Universitat Autònoma de Barcelona · ES

Funding

Horizon 2020 Framework Programme No. 800983Instituto de Salud Carlos III PI17/02242Instituto de Salud Carlos III PI20/01474
6 · The paper itself

Abstract

Within tumors, Cancer Stem Cell (CSC) subpopulation has an important role in maintaining growth and dissemination while preserving high resistance against current treatments. It has been shown that, when CSCs are eliminated, the surrounding Differentiated Cancer Cells (DCCs) may reverse their phenotype and gain CSC-like features to preserve tumor progression and ensure tumor survival. This strongly suggests the existence of paracrine communication within tumor cells. It is evidenced that the molecular crosstalk is at least partly mediated by Extracellular Vesicles (EVs), which are cell-derived membranous nanoparticles that contain and transport complex molecules that can affect and modify the biological behavior of distal cells and their molecular background. This ability of directional transport of small molecules prospects EVs as natural Drug Delivery Systems (DDS). EVs present inherent homing abilities and are less immunogenic than synthetic nanoparticles, in general. Currently, strong efforts are focused into the development and improvement of EV-based DDS. Even though EV-DDS have already reached early phases in clinical trials, their clinical application is still far from commercialization since protocols for EVs loading, modification and isolation need to be standardized for large-scale production. Here, we summarized recent knowledge regarding the use of EVs as natural DDS against CSCs and cancer resistance.

Indexed as

cancer stem cellsdrug delivery systemsextracellular vesicles

Identifiers

PMID33256036
PMCPMC7761384
OpenAlexW3108927209

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.