Evidence map›Paper›PMID 35800053›Full record

ArticleFrontiers in oncology2022

Patient-Derived Extracellular Vesicles Proteins as New Biomarkers in Multiple Myeloma - A Real-World Study.

Bruna Velosa Ferreira, Emilie Arnault Carneiro, Carolina Pestana, Filipa Barahona, Joana Caetano, Raquel Lopes, Paulo Lúcio, Manuel Neves, Hans Christian Beck, Ana Sofia Carvalho and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

14 citing papers in PubMed, 12 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

13 authors at 4 institutions in 2 countries.

Bruna Velosa FerreiraMyeloma Lymphoma Research Group, Champalimaud Experimental Clinical Research Programme, Champalimaud Foundation, Lisbon, Portugal.
Emilie Arnault CarneiroMyeloma Lymphoma Research Group, Champalimaud Experimental Clinical Research Programme, Champalimaud Foundation, Lisbon, Portugal.
Carolina PestanaMyeloma Lymphoma Research Group, Champalimaud Experimental Clinical Research Programme, Champalimaud Foundation, Lisbon, Portugal.
Filipa BarahonaMyeloma Lymphoma Research Group, Champalimaud Experimental Clinical Research Programme, Champalimaud Foundation, Lisbon, Portugal.
Joana CaetanoMyeloma Lymphoma Research Group, Champalimaud Experimental Clinical Research Programme, Champalimaud Foundation, Lisbon, Portugal.
Raquel LopesMyeloma Lymphoma Research Group, Champalimaud Experimental Clinical Research Programme, Champalimaud Foundation, Lisbon, Portugal.
Paulo LúcioHemato-Oncology Unit, Champalimaud Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.
Manuel NevesHemato-Oncology Unit, Champalimaud Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.
Hans Christian BeckCentre for Clinical Proteomics, Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark.
Ana Sofia CarvalhoNOVA Medical School (NMS), Faculdade de Ciências Médicas (FCM), Universidade Nova de Lisboa, Lisboa, Portugal.
Rune MatthiesenNOVA Medical School (NMS), Faculdade de Ciências Médicas (FCM), Universidade Nova de Lisboa, Lisboa, Portugal.
Bruno Costa-SilvaSystems Oncology Group, Champalimaud Physiology and Cancer Programme, Champalimaud Foundation, Lisbon, Portugal.
Cristina JoãoMyeloma Lymphoma Research Group, Champalimaud Experimental Clinical Research Programme, Champalimaud Foundation, Lisbon, Portugal.
Universidade Nova de Lisboa · PTChampalimaud Foundation · PTUniversity of Lisbon · PTOdense University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is a hematological malignancy of clonal antibody-secreting plasma cells (PCs). MM diagnosis and risk stratification rely on bone marrow (BM) biopsy, an invasive procedure prone to sample bias. Liquid biopsies, such as extracellular vesicles (EV) in peripheral blood (PB), hold promise as new minimally invasive tools. Real-world studies analyzing patient-derived EV proteome are rare. Here, we characterized a small EV protein content from PB and BM samples in a cohort of 102 monoclonal gammopathies patients routinely followed in the clinic and 223 PB and 111 BM samples were included. We investigated whether EV protein and particle concentration could predict an MM patient prognosis. We found that a high EV protein/particle ratio, or EV cargo >0.6 µg/10

Indexed as

biomarkersextracellular vesicles (EV)liquid biopsymultiple myelomaprotein

Identifiers

PMID35800053
PMCPMC9254863
OpenAlexW4283260949

What OpenQuestion holds

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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.