Evidence map›Paper›PMID 42818596›Full record

ArticlebioRxiv : the preprint server for biology2026

The RNA cargo of plasma-derived extracellular vesicles in mCRPC patients captures cancer cells and tumor microenvironment signals.

Federico Vannuccini, Yari Ciani, Vera Mugoni, Orsetta Quaini, Francesco Orlando, Veronica Weber, Ariadna Camacho Martinez, Angela Martinelli, Elisa Biada, Alessia Marinelli and 14 more

Registry-linked trialAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06981377 (Development of the PRIME Test for the Identification of Prostate Cancer Patients' Biomarkers Through Non-invasive Liquid Biopsies), which is not on this map. Not yet cited in PubMed.

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

NCT06981377 recruitingnot on this map

Development of the PRIME Test for the Identification of Prostate Cancer Patients' Biomarkers Through Non-invasive Liquid Biopsies

TypeobservationalSponsorSanta Chiara HospitalRan2019 to 2027Enrolled800ConditionsMetastatic Prostate CancerArmsAnalysis of cell free DNA, and extracellular vesicles (EVs) and EV-associated molecular components (including RNA, DNA, proteins)
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

24 authors.

Federico VannucciniDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.ORCID 0000-0001-5080-9287
Yari CianiDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.ORCID 0000-0002-9635-2830
Vera MugoniDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.ORCID 0000-0001-6964-4179
Orsetta QuainiDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.ORCID 0009-0008-3466-8988
Francesco OrlandoDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.ORCID 0000-0001-9884-9413
Veronica WeberDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Ariadna Camacho MartinezUCL Cancer Institute, University College London, London, UK.
Angela MartinelliDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.ORCID 0000-0001-6442-3190
Elisa BiadaDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Alessia MarinelliDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Irene Casanova-SalasVall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.ORCID 0000-0002-0499-1038
Fabio PessinaStructural biology research centre, Human Technopole, Milan, Italy.
Dolores Di VizioDepartment of Radiological, Oncological, and Pathological Sciences, Sapienza University, Rome, Italy.
Alessandro VanniniStructural biology research centre, Human Technopole, Milan, Italy.ORCID 0000-0001-7212-5425
Paolo CremaschiUCL Cancer Institute, University College London, London, UK.ORCID 0000-0001-5349-4188
Stefano LiseUCL Cancer Institute, University College London, London, UK.
Caterina NardellaDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.ORCID 0000-0002-1901-7916
Ugo De GiorgiDepartment of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Consuelo ButtiglieroDepartment of Oncology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy.
Orazio CaffoDepartment of Medical Oncology, Santa Chiara Hospital, ASUIT, Trento, Italy.ORCID 0000-0001-7968-2531
Umberto BassoDepartment of Oncology, Istituto Oncologico Veneto IOV - IRCCS, Padua, Italy.ORCID 0000-0002-5075-2177
Joaquin MateoVall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.ORCID 0000-0001-5336-2548
Gerhardt AttardUCL Cancer Institute, University College London, London, UK.ORCID 0000-0002-4811-7983
Francesca DemichelisDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.ORCID 0000-0002-8266-8631

Funding

Clinical Translation of a Large Oncosome-Based Prostate Cancer Blood TestR01CA287075 · NCI · CEDARS-SINAI MEDICAL CENTER · PI DEMICHELIS, FRANCESCA, FREEMAN, MICHAEL R. · 2024 to 2025
$1.3M
NCI NIH HHS R01 CA287075
6 · The paper itself

Abstract

Circulating analytes in cancer patients capture tumor-related signals. We profiled matched extracellular vesicle (EV) total RNA and cell-free DNA (cfDNA) from the same plasma aliquots of chemo-naive metastatic castration-resistant prostate cancer (mCRPC) patients treated with Enzalutamide (n=54 patients, n=119 longitudinal samples; NCT06981377) at four Italian clinical centers and interrogated data from >10,000 cancer patients' and healthy individuals' samples. Transcript integrity analysis identified coding and non-coding species with fragmentation patterns varying across RNA biotypes. EV-RNA data deconvolution revealed signal from immune populations, including fractions classified as CD4+ T cells, whose abundance increased with disease progression in plasma EVs and mCRPC tissues. By leveraging tissue data-informed mining, we established a novel prostate cancer-related EV-RNA signature that resulted in an independent predictor of poor prognosis and captured tumor microenvironment-derived signals. Integrating EV-RNA and ctDNA information improved patient stratification for progression-free survival. These findings suggest a multifaceted role for plasma EVs as a source of cancer biomarkers.

Identifiers

PMID42818596
PMCPMC13622529

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