Evidence map›Paper›PMID 27894104›Full record

ArticleOncotarget2016

Proteomic profiling of NCI-60 extracellular vesicles uncovers common protein cargo and cancer type-specific biomarkers.

Stephanie N Hurwitz, Mark A Rider, Joseph L Bundy, Xia Liu, Rakesh K Singh, David G Meckes

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 197 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
197citing papers in PubMed, 1 pooled it
11.3field-weighted citation impact, top 1% 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

197 citing papers in PubMed, 1 synthesis or guideline pooled it, 299 citations in OpenAlex.

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137 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

6 authors at 1 institution in 1 country.

Stephanie N HurwitzDepartment of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, FL, 32306, USA.
Mark A RiderDepartment of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, FL, 32306, USA.
Joseph L BundyDepartment of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, FL, 32306, USA.
Xia LiuDepartment of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, FL, 32306, USA.
Rakesh K SinghDepartment of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, FL, 32306, USA.
David G MeckesDepartment of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, FL, 32306, USA.
Florida State University · US

Funding

Modulation of Host Cell Exosome Content and Function by EBV LMP1R01CA204621 · NCI · FLORIDA STATE UNIVERSITY · PI MECKES, DAVID G · 2016 to 2020
$2.2M
Exosome-Dependent Trafficking of Epstein-Barr Virus LMP1R15CA188941 · NCI · FLORIDA STATE UNIVERSITY · PI MECKES, DAVID G · 2015 to 2015
$414k
NCI NIH HHS R01 CA204621NCI NIH HHS R15 CA188941
6 · The paper itself

Abstract

Packed with biological information, extracellular vesicles (EVs) offer exciting promise for biomarker discovery and applications in therapeutics and non-invasive diagnostics. Currently, our understanding of EV contents is confined by the limited cells from which vesicles have been characterized utilizing the same enrichment method. Using sixty cell lines from the National Cancer Institute (NCI-60), here we provide the largest proteomic profile of EVs in a single study, identifying 6,071 proteins with 213 common to all isolates. Proteins included established EV markers, and vesicular trafficking proteins such as Rab GTPases and tetraspanins. Differentially-expressed proteins offer potential for cancer diagnosis and prognosis. Network analysis of vesicle quantity and proteomes identified EV components associated with vesicle secretion, including CD81, CD63, syntenin-1, VAMP3, Rab GTPases, and integrins. Integration of vesicle proteomes with whole-cell molecular profiles revealed similarities, suggesting EVs provide a reliable reflection of their progenitor cell content, and are therefore excellent indicators of disease.

Indexed as

Biomarkers, TumorCell Line, TumorExtracellular VesiclesHumansProteomicsBiomarkers, Tumorbiomarkersco-inertiaexosomesmicrovesiclesproteomics

Identifiers

PMID27894104
PMCPMC5341331
OpenAlexW2556224708

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.