Evidence map›Paper›PMID 29855735›Full record

ReviewClinical and translational medicine2018

Extracellular vesicles as circulating cancer biomarkers: opportunities and challenges.

R E Lane, D Korbie, M M Hill, M Trau

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Clinical and translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05637931 (Evaluation of Circulating PlexinD1 as a Potential Biomarker of Polymyositis and Dermatomyositis.), which is not on this map. Cited by 134 papers.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed
10.3field-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.

NCT05637931 unknown statusnot on this mapstarted 2022, after this paper: background citation

Evaluation of Circulating PlexinD1 as a Potential Biomarker of Polymyositis and Dermatomyositis.

TypeobservationalSponsorAssiut UniversityRan2022 to 2024Enrolled66ConditionsPolymyositis, DermatomyositisArmsplexinD1
3 · Its place in the literature

Who cites it

134 citing papers in PubMed, 243 citations in OpenAlex.

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74 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

4 authors at 1 institution in 1 country.

R E LaneAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, Australia.
D KorbieAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, Australia.
M M HillThe University of Queensland Diamantina Institute, Faculty of Medicine, Translational Research Institute, The University of Queensland, Woolloongabba, QLD, Australia.
M TrauAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, Australia. m.trau@uq.edu.au.
University of Queensland · AU

Funding

National Breast Cancer Foundation CG-12-07
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are small, lipid-bound particles containing nucleic acid and protein cargo which are excreted from cells under a variety of normal and pathological conditions. EVs have garnered substantial research interest in recent years, due to their potential utility as circulating biomarkers for a variety of diseases, including numerous types of cancer. The following review will discuss the current understanding of the form and function of EVs, their specific role in cancer pathogenesis and their potential for non-invasive disease diagnosis and/or monitoring. This review will also highlight several key issues for this field, including the importance of implementing robust and reproducible sample handling protocols, and the challenge of extracting an EV-specific biomarker signal from a complex biological background.

Indexed as

BiomarkerCancerExosomeExtracellular vesicleMicrovesicle

Identifiers

PMID29855735
PMCPMC5981152
OpenAlexW2807567618

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.