Evidence map›Paper›PMID 27858503›Full record

ArticleRNA biology2017

High-throughput sequencing of two populations of extracellular vesicles provides an mRNA signature that can be detected in the circulation of breast cancer patients.

Andrew Conley, Valentina R Minciacchi, Dhong Hyun Lee, Beatrice S Knudsen, Beth Y Karlan, Luigi Citrigno, Giuseppe Viglietto, Muneesh Tewari, Michael R Freeman, Francesca Demichelis and 1 more

Open access · hybridAbstract read
In one paragraph

Article in RNA biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

39 citing papers in PubMed, 58 citations in OpenAlex.

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  18. Exosome-based liquid biopsies in cancer: opportunities and challenges.Annals of oncology : official journal of the European Society for Medical Oncology · 2021
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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

11 authors at 5 institutions in 2 countries.

Andrew Conleya Department of Biomedical Sciences , Cedars-Sinai Medical Center , Los Angeles , CA , USA.
Valentina R Minciacchia Department of Biomedical Sciences , Cedars-Sinai Medical Center , Los Angeles , CA , USA.
Dhong Hyun Leea Department of Biomedical Sciences , Cedars-Sinai Medical Center , Los Angeles , CA , USA.
Beatrice S Knudsena Department of Biomedical Sciences , Cedars-Sinai Medical Center , Los Angeles , CA , USA.
Beth Y Karlanc Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center , Los Angeles , CA , USA.
Luigi Citrignod Department of Surgery , Division of Cancer Biology and Therapeutics, Cedars-Sinai Medical Center , Los Angeles , CA , USA.
Giuseppe Vigliettof Department of Experimental and Clinical Medicine , University Magna Graecia , Catanzaro , Italy.
Muneesh Tewarig Department of Internal Medicine , University of Michigan , Ann Arbor , MI , USA.
Michael R Freemana Department of Biomedical Sciences , Cedars-Sinai Medical Center , Los Angeles , CA , USA.
Francesca Demichelisn Centre for Integrative Biology, University of Trento , Trento , Italy.
Dolores Di Vizioa Department of Biomedical Sciences , Cedars-Sinai Medical Center , Los Angeles , CA , USA.
Cedars-Sinai Medical Center · USMagna Graecia University · ITMichigan Center for Translational Pathology · USUniversity of California, Los Angeles · USUniversity of Trento · IT

Funding

UCLA SPORE IN PROSTATE CANCERP50CA092131 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FREEMAN, MICHAEL R · 2002 to 2023
$42.6M
Prostate Cancer Bone Metastasis: Biology and TargetingP01CA098912 · NCI · EMORY UNIVERSITY · PI ZAYZAFOON, MAJD · 2003 to 2019
$24.0M
High-throughput palmitoyl-proteomics profiling of extracellular vesicles for identification of biomarkers for early detection of clinically significant prostate cancerR01CA218526 · NCI · CEDARS-SINAI MEDICAL CENTER · PI DI VIZIO, DOLORES, HURLEY, PAULA JILL · 2017 to 2021
$2.0M
NCI NIH HHS P01 CA098912NCI NIH HHS R01 CA218526
6 · The paper itself

Abstract

Extracellular vesicles (EVs) contain a wide range of RNA types with a reported prevalence of non-coding RNA. To date a comprehensive characterization of the protein coding transcripts in EVs is still lacking. We performed RNA-Sequencing (RNA-Seq) of 2 EV populations and identified a small fraction of transcripts that were expressed at significantly different levels in large oncosomes and exosomes, suggesting they may mediate specialized functions. However, these 2 EV populations exhibited a common mRNA signature that, in comparison to their donor cells, was significantly enriched in mRNAs encoding E2F transcriptional targets and histone proteins. These mRNAs are primarily expressed in the S-phase of the cell cycle, suggesting that they may be packaged into EVs during S-phase. In silico analysis using subcellular compartment transcriptome data from the ENCODE cell line compendium revealed that EV mRNAs originate from a cytoplasmic RNA pool. The EV signature was independently identified in plasma of patients with breast cancer by RNA-Seq. Furthermore, several transcripts differentially expressed in EVs from patients versus controls mirrored differential expression between normal and breast cancer tissues. Altogether, this largest high-throughput profiling of EV mRNA demonstrates that EVs carry tumor-specific alterations and can be interrogated as a source of cancer-derived cargo.

Indexed as

Biomarkers, TumorBreast NeoplasmsCell CycleCell Line, TumorComputational BiologyCytosolE2F4 Transcription FactorExtracellular VesiclesFemaleGene Expression ProfilingGene OntologyHigh-Throughput Nucleotide SequencingHumansProtein Sorting SignalsRNA, MessengerTranscriptomeBiomarkers, TumorE2F4 Transcription FactorProtein Sorting SignalsRNA, MessengerVascular Endothelial Growth Factor A

Identifiers

PMID27858503
PMCPMC5367334
OpenAlexW2553933534

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.