Evidence map›Paper›PMID 34445131›Full record

ReviewInternational journal of molecular sciences2021

Extracellular Vesicles: New Tools for Early Diagnosis of Breast and Genitourinary Cancers.

Anna Testa, Emilio Venturelli, Maria Felice Brizzi

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. An integrated microfluidic system for automatic and self-validated analysis of cervical extracellular vesicle markers PD-L1 and ERBB3.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
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  12. Emerging Advances of Detection Strategies for Tumor-Derived Exosomes.International journal of molecular sciences · 2022
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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

3 authors at 1 institution in 1 country.

Anna TestaDepartment of Medical Sciences, University of Turin, 10126 Turin, Italy.
Emilio VenturelliDepartment of Medical Sciences, University of Turin, 10126 Turin, Italy.
Maria Felice BrizziDepartment of Medical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0003-0944-6992
University of Turin · IT

Funding

Associazione Italiana Ricerca sul Cancro IG 2015.17630
6 · The paper itself

Abstract

Breast cancers and cancers of the genitourinary tract are the most common malignancies among men and women and are still characterized by high mortality rates. In order to improve the outcomes, early diagnosis is crucial, ideally by applying non-invasive and specific biomarkers. A key role in this field is played by extracellular vesicles (EVs), lipid bilayer-delimited structures shed from the surface of almost all cell types, including cancer cells. Subcellular structures contained in EVs such as nucleic acids, proteins, and lipids can be isolated and exploited as biomarkers, since they directly stem from parental cells. Furthermore, it is becoming even more evident that different body fluids can also serve as sources of EVs for diagnostic purposes. In this review, EV isolation and characterization methods are described. Moreover, the potential contribution of EV cargo for diagnostic discovery purposes is described for each tumor.

Indexed as

AnimalsBiomarkers, TumorBreast NeoplasmsEarly Detection of CancerExtracellular VesiclesFemaleHumansNeoplasmsNucleic AcidsUrogenital NeoplasmsBiomarkers, TumorNucleic Acidsextracellular vesiclesliquid biopsyoncology

Identifiers

PMID34445131
PMCPMC8395117
OpenAlexW3189888744

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.