Evidence map›Paper›PMID 38938900›Full record

ArticleJournal of extracellular biology2023

Cancer cell invasion alters the protein profile of extracellular vesicles.

Jens C Luoto, Leila S Coelho-Rato, Cecilia Jungarå, Sara H Bengs, Jannica Roininen, John E Eriksson, Lea Sistonen, Eva Henriksson

Erratum issuedAbstract read
In one paragraph

Article in Journal of extracellular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Jens C LuotoFaculty of Science and Engineering, Cell Biology Åbo Akademi University Turku Finland.
Leila S Coelho-RatoFaculty of Science and Engineering, Cell Biology Åbo Akademi University Turku Finland.
Cecilia JungaråFaculty of Science and Engineering, Cell Biology Åbo Akademi University Turku Finland.
Sara H BengsFaculty of Science and Engineering, Cell Biology Åbo Akademi University Turku Finland.
Jannica RoininenFaculty of Science and Engineering, Cell Biology Åbo Akademi University Turku Finland.
John E ErikssonFaculty of Science and Engineering, Cell Biology Åbo Akademi University Turku Finland.
Lea SistonenFaculty of Science and Engineering, Cell Biology Åbo Akademi University Turku Finland.
Eva HenrikssonFaculty of Science and Engineering, Cell Biology Åbo Akademi University Turku Finland.ORCID https://orcid.org/0000-0001-8320-4591

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are important mediators of intercellular communication involved in local and long-range signalling of cancer metastasis. The onset of invasion is the key step of the metastatic cascade, but the secretion of EVs has remained unexplored at that stage due to technical challenges. In this study, we present a platform to track EVs over the course of invasive development of human prostate cancer cell (PC3) tumoroids utilizing in vivo-mimicking extracellular matrix-based 3D cultures. Using this EV production method, combined with proteomic profiling, we show that PC3 tumoroids secrete EVs with previously undefined protein cargo. Intriguingly, an increase in EV amounts and extensive changes in the EV protein composition were detected upon invasive transition of the tumoroids. The changes in EV protein cargo were counteracted by chemical inhibition of invasion. These results reveal the impact of the tumoroids' invasive status on EV secretion and cargo, and highlight the necessity of in vivo-mimicking conditions for uncovering novel cancer-derived EV components.

Indexed as

3D culturesEV heterogeneityEV proteomeextracellular vesiclesinvasionPC3 cellsprostate cancer

Identifiers

PMID38938900
PMCPMC11080925

What OpenQuestion holds

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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.