Evidence map›Paper›PMID 34948404›Full record

ReviewInternational journal of molecular sciences2021

Extracellular Vesicle Proteome in Prostate Cancer: A Comparative Analysis of Mass Spectrometry Studies.

Rui Miguel Marques Bernardino, Ricardo Leão, Rui Henrique, Luis Campos Pinheiro, Prashant Kumar, Prashanth Suravajhala, Hans Christian Beck, Ana Sofia Carvalho, Rune Matthiesen

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 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 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

14 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Using active surveillance for Gleason 7 (3+4) prostate cancer: A narrative review.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Exosomal PPARγ derived from macrophages suppresses LPS-induced peritonitis by negative regulation of CD14/TLR4 axis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023
    Article
  14. 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

9 authors at 7 institutions in 3 countries.

Rui Miguel Marques BernardinoComputational and Experimental Biology Group, Chronic Diseases Research Centre (CEDOC), NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisboa, Portugal.
Ricardo LeãoFaculty of Medicine, University of Coimbra, 3000-370 Coimbra, Portugal.ORCID 0000-0003-3719-717X
Rui HenriquePathology Department, Instituto Português de Oncologia, 4200-072 Porto, Portugal.ORCID 0000-0003-3171-4666
Luis Campos PinheiroUrology Department, Centro Hospitalar e Universitário de Lisboa Central, 1169-050 Lisbon, Portugal.
Prashant KumarInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India.ORCID 0000-0001-8975-5108
Prashanth SuravajhalaAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Clappana P.O., Kollam 690525, India.ORCID 0000-0002-8535-278X
Hans Christian BeckCentre for Clinical Proteomics, Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, 5000 Odense, Denmark.ORCID 0000-0002-7763-3637
Ana Sofia CarvalhoComputational and Experimental Biology Group, Chronic Diseases Research Centre (CEDOC), NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisboa, Portugal.ORCID 0000-0003-0657-1907
Rune MatthiesenComputational and Experimental Biology Group, Chronic Diseases Research Centre (CEDOC), NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisboa, Portugal.ORCID 0000-0002-6353-2616
Unidade Local de Saúde de São José · PTUniversidade Nova de Lisboa · PTAmrita Vishwa Vidyapeetham · INInstitute of Bioinformatics · INIPO Porto · PTOdense University Hospital · DKUniversity of Coimbra · PT

Funding

Fundação para a Ciência e Tecnologia PTDC/BTM-TEC/30087/2017Fundação para a Ciência e Tecnologia PTDC/BTM-TEC/30088/2017
6 · The paper itself

Abstract

Molecular diagnostics based on discovery research holds the promise of improving screening methods for prostate cancer (PCa). Furthermore, the congregated information prompts the question whether the urinary extracellular vesicles (uEV) proteome has been thoroughly explored, especially at the proteome level. In fact, most extracellular vesicles (EV) based biomarker studies have mainly targeted plasma or serum. Therefore, in this study, we aim to inquire about possible strategies for urinary biomarker discovery particularly focused on the proteome of urine EVs. Proteomics data deposited in the PRIDE archive were reanalyzed to target identifications of potential PCa markers. Network analysis of the markers proposed by different prostate cancer studies revealed moderate overlap. The recent throughput improvements in mass spectrometry together with the network analysis performed in this study, suggest that a larger standardized cohort may provide potential biomarkers that are able to fully characterize the heterogeneity of PCa. According to our analysis PCa studies based on urinary EV proteome presents higher protein coverage compared to plasma, plasma EV, and voided urine proteome. This together with a direct interaction of the prostate gland and urethra makes uEVs an attractive option for protein biomarker studies. In addition, urinary proteome based PCa studies must also evaluate samples from bladder and renal cancers to assess specificity for PCa.

Indexed as

AnimalsBiomarkers, TumorExtracellular VesiclesHumansMaleMass SpectrometryProstateProstatic NeoplasmsProteomeProteomicsBiomarkers, TumorProteomebiomarkersextracellular vesicles (EVs)prostate cancerproteomicsurine extracellular vesicles (uEVs)

Identifiers

PMID34948404
PMCPMC8707426
OpenAlexW4200454840

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.