Evidence map›Paper›PMID 39104474›Full record

ArticleHeliyon2024

EV-miRNAs from breast cancer patients of plasma as potential prognostic biomarkers of disease recurrence.

Rhafaela Lima Causin, Mariana Regatieri Polezi, Ana Julia Aguiar de Freitas, Stéphanie Calfa, Wanessa Fernanda Altei, Júlia Oliveira Dias, Ana Carolina Laus, Danielle Pessôa-Pereira, Tatiana Takahasi Komoto, Adriane Feijó Evangelista and 3 more

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Rhafaela Lima CausinMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, 14784-400, Brazil.
Mariana Regatieri PoleziMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, 14784-400, Brazil.
Ana Julia Aguiar de FreitasMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, 14784-400, Brazil.
Stéphanie CalfaMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, 14784-400, Brazil.
Wanessa Fernanda AlteiMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, 14784-400, Brazil.
Júlia Oliveira DiasMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, 14784-400, Brazil.
Ana Carolina LausMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, 14784-400, Brazil.
Danielle Pessôa-PereiraMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, 14784-400, Brazil.
Tatiana Takahasi KomotoMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, 14784-400, Brazil.
Adriane Feijó EvangelistaMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, 14784-400, Brazil.
Cristiano de Pádua SouzaBarretos Cancer Hospital, Barretos, São Paulo, 14784-400, Brazil.
Rui Manuel ReisMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, 14784-400, Brazil.
Marcia Maria Chiquitelli MarquesMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, 14784-400, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Extracellular vesicles (EVs), ubiquitously released by blood cells, facilitate intercellular communication. In cancer, tumor-derived EVs profoundly affect the microenvironment, promoting tumor progression and raising the risk of recurrence. These EVs contain miRNAs (EV-miRNAs), promising cancer biomarkers. Characterizing plasma EVs and identifying EV-miRNAs associated with breast cancer recurrence are crucial aspects of cancer research since they allow us to discover new biomarkers that are effective for understanding tumor biology and for being used for early detection, disease monitoring, or approaches to personalized medicine. This study aimed to characterize plasma EVs in breast cancer (BC) patients and identify EV-miRNAs associated with BC recurrence. Methods: This retrospective observational study included 24 BC patients divided into recurrence (n= 11) and non-recurrence (n= 13) groups. Plasma EVs were isolated and characterized. Total RNA from EVs was analyzed for miRNA expression using NanoString's nCounter® miRNA Expression Assays panel. MicroRNA target prediction used mirDIP, and pathway interactions were assessed via Reactome. Results: A stronger presence of circulating EVs was found to be linked with a less favorable prognosis (p = 0.0062). We discovered a distinct signature of EV-miRNAs, notably including miR-19a-3p and miR-130b-3p, which are significantly associated with breast cancer recurrence. Furthermore, miR-19a-3p and miR-130b-3p were implicated in the regulation of PTEN and MDM4, potentially contributing to breast cancer progression.A notable association emerged, indicating a high concentration of circulating EVs predicts poor prognosis (p = 0.0062). Our study found a distinct EV-miRNA signature involving miR-19a-3p and miR-130b-3p, strongly associated with disease recurrence. We also presented compelling evidence for their regulatory roles in PTEN and MDM4 genes, contributing to BC development. Conclusion: This study revealed that increased plasma EV concentration is associated with BC recurrence. The prognostic significance of EVs is closely tied to the unique expression profiles of miR-19a-3p and miR-130b-3p. These findings underscore the potential of EV-associated miRNAs as valuable indicators for BC recurrence, opening new avenues for diagnosis and treatment exploration.

Indexed as

BiomarkersBreast cancerDisease recurrenceExtracellular vesiclesMicroRNA

Identifiers

PMID39104474
PMCPMC11298852

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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.