Evidence map›Paper›PMID 34596356›Full record

ArticleJournal of extracellular vesicles2021

Stroma-derived extracellular vesicle mRNA signatures inform histological nature of prostate cancer.

Alex P Shephard, Peter Giles, Mariama Mbengue, Amr Alraies, Lisa K Spary, Howard Kynaston, Mark J Gurney, Juan M Falcón-Pérez, Félix Royo, Zsuzsanna Tabi and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of extracellular vesicles, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  12. Cancer secretome: finding out hidden messages in extracellular secretions.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
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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

14 authors at 6 institutions in 2 countries.

Alex P ShephardTissue Microenvironment Group, Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0003-2584-6523
Peter GilesWales Gene Park, Henry Welcome Building, Cardiff University, Cardiff, UK.
Mariama MbengueTissue Microenvironment Group, Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.
Amr AlraiesTissue Microenvironment Group, Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.
Lisa K SparyWales Cancer Bank, University Hospital of Wales, Cardiff, UK.ORCID 0000-0002-7277-7199
Howard KynastonSection of Surgery, Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.
Mark J GurneyDivision of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0003-1119-6638
Juan M Falcón-PérezExosomes Lab. CICbioGUNE-BRTA, Parque Tecnologico, Derio, Spain.ORCID 0000-0003-3133-0670
Félix RoyoExosomes Lab. CICbioGUNE-BRTA, Parque Tecnologico, Derio, Spain.
Zsuzsanna TabiTissue Microenvironment Group, Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0001-8427-1809
Dimitris ParthimosTissue Microenvironment Group, Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0003-3852-323X
Rachel J ErringtonTissue Microenvironment Group, Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.
Aled ClaytonTissue Microenvironment Group, Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0002-3087-9226
Jason P WebberTissue Microenvironment Group, Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0003-4772-3014
Cardiff University · GBCardiff and Vale University Health Board · GBCIC bioGUNE · ESIkerbasque · ESSwansea University · GBUniversity Hospital of Wales · GB

Funding

Marie Curie 860303Prostate Cancer UK CDF13-001
6 · The paper itself

Abstract

Histological assessment of prostate cancer is the key diagnostic test and can predict disease outcome. This is however an invasive procedure that carries associated risks, hence non-invasive assays to support the diagnostic pathway are much needed. A key feature of disease progression, and subsequent poor prognosis, is the presence of an altered stroma. Here we explored the utility of prostate stromal cell-derived vesicles as indicators of an altered tumour environment. We compared vesicles from six donor-matched pairs of adjacent-normal versus disease-associated primary stromal cultures. We identified 19 differentially expressed transcripts that discriminate disease from normal stromal extracellular vesicles (EVs). EVs isolated from patient serum were investigated for these putative disease-discriminating mRNA. A set of transcripts including Caveolin-1 (CAV1), TMP2, THBS1, and CTGF were found to be successful in discriminating clinically insignificant (Gleason = 6) disease from clinically significant (Gleason > 8) prostate cancer. Furthermore, correlation between transcript expression and progression-free survival suggests that levels of these mRNA may predict disease outcome. Informed by a machine learning approach, combining measures of the five most informative EV-associated mRNAs with PSA was shown to significantly improve assay sensitivity and specificity. An in-silico model was produced, showcasing the superiority of this multi-modal liquid biopsy compared to needle biopsy for predicting disease progression. This proof of concept highlights the utility of serum EV analytics as a companion diagnostic test with prognostic utility, which may obviate the need for biopsy.

Indexed as

Biomarkers, TumorExtracellular VesiclesHumansMaleProstatic NeoplasmsRNA, MessengerBiomarkers, TumorRNA, Messengerbiomarkerextracellular vesiclesprostate cancerRNAstroma

Identifiers

PMID34596356
PMCPMC8485336
OpenAlexW3202914080

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.