Evidence map›Paper›PMID 34157951›Full record

ArticleCell adhesion & migration2021

Analysis of exosome-derived microRNAs reveals insights of intercellular communication during invasion of breast, prostate and glioblastoma cancer cells.

Francesca Lessi, Paolo Aretini, Milena Rizzo, Mariangela Morelli, Michele Menicagli, Sara Franceschi, Chiara Maria Mazzanti

Open access · goldAbstract read
In one paragraph

Article in Cell adhesion & migration, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
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  4. 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 2 institutions in 1 country.

Francesca LessiFondazione Pisana per La Scienza, Pisa, Italy.ORCID 0000-0002-3346-4296
Paolo AretiniFondazione Pisana per La Scienza, Pisa, Italy.ORCID 0000-0003-1075-4319
Milena RizzoInstitute of Clinical Physiology (IFC), CNR, Pisa, Italy.ORCID 0000-0001-5924-8615
Mariangela MorelliFondazione Pisana per La Scienza, Pisa, Italy.
Michele MenicagliFondazione Pisana per La Scienza, Pisa, Italy.
Sara FranceschiFondazione Pisana per La Scienza, Pisa, Italy.ORCID 0000-0002-4246-4407
Chiara Maria MazzantiFondazione Pisana per La Scienza, Pisa, Italy.ORCID 0000-0002-7249-9221
Fondazione Pisa · ITIstituto di Fisiologia Clinica · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MiRNAs represent a mechanism that regulates gene expression in many pathological conditions. Exosomes are known to be secreted from all types of cells, and the exosomes-released molecules are crucial messengers that can regulate cellular processes. We investigated the miRNAs content of exosomes released by cancer cells during the invasion . An invasion stimulus has been generated through scratches created on the confluent cells of cancer cell lines: glioblastoma, breast and prostate cancers.Several miRNAs were found to be significantly differentially abundant during the cell invasion , both in common among different cell lines and exclusive. Understanding the language codes among cells involved in invasion can lead to the development of therapies that can inhibit cellular communication, slowing or eventually stopping their activity.

Indexed as

Breast NeoplasmsCell CommunicationCell Line, TumorCell MovementExosomesFemaleGene Expression Regulation, NeoplasticGlioblastomaHumansMaleMicroRNAsProstatic NeoplasmsMicroRNAsbreast cancerExosomesglioblastomamiRNAsprostate cancertumor invasion

Identifiers

PMID34157951
PMCPMC8224203
OpenAlexW3175268178

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.