Evidence map›Paper›PMID 27903962›Full record

ArticleOncotarget2017

Targeted proteomics in urinary extracellular vesicles identifies biomarkers for diagnosis and prognosis of prostate cancer.

Tamara Sequeiros, Marina Rigau, Cristina Chiva, Melania Montes, Iolanda Garcia-Grau, Marta Garcia, Sherley Diaz, Ana Celma, Irene Bijnsdorp, Alex Campos and 10 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 4% 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

73 citing papers in PubMed, 2 syntheses or guidelines pooled it, 110 citations in OpenAlex.

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  18. Circulating biomarkers for diagnosis and response to therapies in cancer patients.International review of cell and molecular biology · 2025
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13 more citing papers are in PubMed but not listed here.

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

20 authors at 8 institutions in 3 countries.

Tamara SequeirosGroup of Biomedical Research in Urology, Vall d'Hebron Research Institute (VHIR) and Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.
Marina RigauGroup of Biomedical Research in Urology, Vall d'Hebron Research Institute (VHIR) and Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.
Cristina ChivaProteomics Unit, Centre de Regulació Genòmica (CRG), Barcelona, Spain.
Melania MontesGroup of Biomedical Research in Urology, Vall d'Hebron Research Institute (VHIR) and Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.
Iolanda Garcia-GrauGroup of Biomedical Research in Urology, Vall d'Hebron Research Institute (VHIR) and Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.
Marta GarciaGroup of Biomedical Research in Urology, Vall d'Hebron Research Institute (VHIR) and Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.
Sherley DiazDepartment of Pathology, Vall d'Hebron University Hospital, Barcelona, Spain.
Ana CelmaDepartment of Urology, Vall d'Hebron University Hospital, Barcelona, Spain.
Irene BijnsdorpDepartment of Urology, VU University Medical Center, Amsterdam, The Netherlands.
Alex CamposSanford-Burnham Medical Research Institute, La Jolla, California, USA.
Primiano Di MauroSagetis-Biotech; Grup d'Enginyeria de Materials (GEMAT) Institut Químic de Sarrià, Barcelona, Spain.
Salvador BorrósSagetis-Biotech; Grup d'Enginyeria de Materials (GEMAT) Institut Químic de Sarrià, Barcelona, Spain.
Jaume ReventósDepartement of Basic Science, International University of Catalonia, Barcelona, Spain.
Andreas DollGroup of Biomedical Research in Urology, Vall d'Hebron Research Institute (VHIR) and Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.
Rosanna PaciucciGroup of Biomedical Research in Urology, Vall d'Hebron Research Institute (VHIR) and Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.
Michiel PegtelDepartment of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
Inés de TorresGroup of Biomedical Research in Urology, Vall d'Hebron Research Institute (VHIR) and Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.
Eduard SabidóProteomics Unit, Centre de Regulació Genòmica (CRG), Barcelona, Spain.
Juan MoroteGroup of Biomedical Research in Urology, Vall d'Hebron Research Institute (VHIR) and Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.
Mireia OlivanGroup of Biomedical Research in Urology, Vall d'Hebron Research Institute (VHIR) and Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.
Universitat Autònoma de Barcelona · ESVall d'Hebron Institut de Recerca · ESVall d'Hebron Hospital Universitari · ESAmsterdam UMC Location VUmc · NLCentre for Genomic Regulation · ESInstitut Químic de Sarrià · ESInstitut d'Investigació Biomédica de Bellvitge · ESSanford Burnham Prebys Medical Discovery Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid and reliable diagnosis of prostate cancer (PCa) is highly desirable as current used methods lack specificity. In addition, identification of PCa biomarkers that can classify patients into high- and low-risk groups for disease progression at early stage will improve treatment decision-making. Here, we describe a set of protein-combination panels in urinary extracellular vesicles (EVs), defined by targeted proteomics and immunoblotting techniques that improve early non-invasive detection and stratification of PCa patients.We report a two-protein combination in urinary EVs that classifies benign and PCa patients (ADSV-TGM4), and a combination of five proteins able to significantly distinguish between high- and low-grade PCa patients (CD63-GLPK5-SPHM-PSA-PAPP). Proteins composing the panels were validated by immunohistochemistry assays in tissue microarrays (TMAs) confirming a strong link between the urinary EVs proteome and alterations in PCa tissues. Moreover, ADSV and TGM4 abundance yielded a high diagnostic potential in tissue and promising TGM4 prognostic power. These results suggest that the proteins identified in urinary EVs distinguishing high- and low grade PCa are a reflection of histological changes that may be a consequence of their functional involvement in PCa development. In conclusion, our study resulted in the identification of protein-combination panels present in urinary EVs that exhibit high sensitivity and specificity for PCa detection and patient stratification. Moreover, our study highlights the potential of targeted proteomic approaches-such as selected reaction monitoring (SRM)-as diagnostic assay for liquid biopsies via urinary EVs to improve diagnosis and prognosis of suspected PCa patients.

Indexed as

AgedAged, 80 and overBiomarkers, TumorExtracellular VesiclesHumansMaleMiddle AgedNeoplasm GradingPrognosisProstatic NeoplasmsProteomicsTissue Array AnalysisBiomarkers, Tumorbiomarkersdiagnosisextracellular vesiclesprostate cancerurine

Identifiers

PMID27903962
PMCPMC5354884
OpenAlexW2549620826

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.