Evidence mapPaperPMID 39901737Full record

ReviewJournal of extracellular vesicles2025

Stoichiometric constraints for detection of EV-borne biomarkers in blood.

Nataša Zarovni, Danilo Mladenović, Dario Brambilla, Federica Panico, Marcella Chiari

Abstract readReview
In one paragraph

Review in Journal of extracellular vesicles, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

5 authors.

Nataša ZarovniDay One Srl, Rome, Italy.
Danilo MladenovićHansaBioMed Life Sciences OÜ, Tallinn, Estonia.ORCID https://orcid.org/0000-0002-0877-2035
Dario BrambillaInstitute of Chemical Sciences and Technology, National Research Council of Italy, Milan, Italy.ORCID https://orcid.org/0000-0003-3490-4481
Federica PanicoInstitute of Chemical Sciences and Technology, National Research Council of Italy, Milan, Italy.
Marcella ChiariRoseBio, Milan, Italy.

Funding

European Commission HORIZON-EIC-2021-TRANSITIONOPEN-01, NEXUS 101058200European Regional Development Fund, Enterprise Estonia's Applied Research Program, EVREM 2014-2020.4.02.21-0398
6 · The paper itself

Abstract

Stochiometric issues, encompassing both the quantity and heterogeneity of extracellular vesicles (EVs) derived from tumour or other tissues in blood, pose important challenges across various stages of biomarker discovery and detection, affecting the integrity of data, introducing losses and artifacts during blood processing, EV purification and analysis. These challenges shape the diagnostic utility of EVs especially within the framework of established and emerging methodologies. By addressing these challenges, we aim to delineate crucial parameters and requirements for tumour-specific EV detection, or more precisely, for tumour identification via EV based assays. Our endeavour involves a comprehensive examination of the layers that mask or confound the traceability of EV markers such as nucleic acids and proteins, and focus on 'low prevalence-low concentration' scenario. Finally, we evaluate the advantages versus limitations of single-particle analysers over more conventional bulk assays, suggesting that the combined use of both to capture and interpret the EV signals, in particular the EV surface displayed proteins, may ultimately provide quantitative information on their absolute abundance and distribution.

Indexed as

Biomarkers, TumorExtracellular VesiclesNeoplasmsBiomarkersHumansBiomarkersBiomarkers, Tumorbulk assaysdiagnosticsdigital quantificationenrichmentextracellular vesiclesliquid biopsymarker quantificationplasmasignal enhancementsingle particle analyses

Identifiers

PMID39901737
PMCPMC11791308

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.