Evidence map›Paper›PMID 39229160›Full record

ArticlebioRxiv : the preprint server for biology2024

Extracellular Vesicles heterogeneity through the lens of multiomics.

Taylon F Silva, Elizabeth Hutchins, Wenyan Zhao, Yari Ciani, Minhyung Kim, Javier Mariscal, Zhuyu Qiu, Agnes Kittel, Bo Zhou, Yang Wang and 18 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors.

Taylon F Silva
Elizabeth Hutchins
Wenyan Zhao
Yari Ciani
Minhyung Kim
Javier Mariscal
Zhuyu Qiu
Agnes Kittel
Bo Zhou
Yang Wang
Megan Hall
Francesca Galasso
Rebecca Reiman
Michael R Freeman
Sarah Parker
Jennifer Van Eyk
Wei Yang
Edwin Posadas
Jlnenia Guarnerio
John Nolan
Clotilde Thery
Andries Zijlstra
Shannon Stott
Sungyong You
Francesca Demichelis
Paul Boutros
Kendall Van Keuren-Jensen
Dolores Di Vizio

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are heterogenous in size, biogenesis, cargo and function. Beside small EVs, aggressive tumor cells release a population of particularly large EVs, namely large oncosomes (LO). This study provides the first resource of label-free quantitative proteomics of LO and small EVs obtained from distinct cancer cell types (prostate, breast, and glioma). This dataset was integrated with a SWATH Proteomic assay on LO, rigorously isolated from the plasma of patients with metastatic prostate cancer (PC). Proteins enriched in LO, which were identified also at the RNA level, and found in plasma LO significantly correlated with PC progression. Single EV RNA-Seq of the PC cell-derived LO confirmed some of the main findings from the bulk RNA-Seq, providing first evidence that single cell technologies can be successfully applied to EVs. This multiomics resource of cancer EVs can be leveraged for developing a multi-analyte approach for liquid biopsy.

Identifiers

PMID39229160
PMCPMC11370325

What OpenQuestion holds

Textmetadata
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Registered trials

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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.