Evidence map›Paper›PMID 34820420›Full record

ArticleFrontiers in molecular biosciences2021

Early Detection and Investigation of Extracellular Vesicles Biomarkers in Breast Cancer.

Erika Bandini, Tania Rossi, Emanuela Scarpi, Giulia Gallerani, Ivan Vannini, Samanta Salvi, Irene Azzali, Mattia Melloni, Sara Salucci, Michela Battistelli and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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

14 authors at 5 institutions in 2 countries.

Erika BandiniBiosciences Laboratory, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Tania RossiBiosciences Laboratory, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Emanuela ScarpiBiostatistics and Clinical Trials Unit, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Giulia GalleraniBiosciences Laboratory, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Ivan VanniniBiosciences Laboratory, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Samanta SalviBiosciences Laboratory, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Irene AzzaliBiostatistics and Clinical Trials Unit, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Mattia MelloniBiosciences Laboratory, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Sara SalucciCellular Signalling Laboratory, Department of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.
Michela BattistelliDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy.
Patrizia SerraBiostatistics and Clinical Trials Unit, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Roberta MaltoniDepartment of Medical Oncology, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
William C ChoDepartment of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong, China.
Francesco FabbriBiosciences Laboratory, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Istituti di Ricovero e Cura a Carattere Scientifico · ITIstituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori · ITQueen Elizabeth Hospital · CNUniversity of Bologna · ITUniversity of Urbino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is the most commonly diagnosed malignant tumor in women worldwide, and the leading cause of cancer death in the female population. The percentage of patients experiencing poor prognosis along with the risk of developing metastasis remains high, also affecting the resistance to current main therapies. Cancer progression and metastatic development are no longer due entirely to their intrinsic characteristics, but also regulated by signals derived from cells of the tumor microenvironment. Extracellular vesicles (EVs) packed with DNA, RNA, and proteins, are the most attractive targets for both diagnostic and therapeutic applications, and represent a decisive challenge as liquid biopsy-based markers. Here we performed a study based on a multiplexed phenotyping flow cytometric approach to characterize BC-derived EVs from BC patients and cell lines, through the detection of multiple antigens. Our data reveal the expression of EVs-related biomarkers derived from BC patient plasma and cell line supernatants, suggesting that EVs could be exploited for characterizing and monitoring disease progression.

Indexed as

biomarkersbreast cancerextracellular vesiclesliquid biopsyplasma

Identifiers

PMID34820420
PMCPMC8606536
OpenAlexW3212709277

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.