Evidence map›Paper›PMID 34071592›Full record

ArticleInternational journal of molecular sciences2021

Plasma Extracellular Vesicle miRNAs Can Identify Lung Cancer, Current Smoking Status, and Stable COPD.

Hannah E O'Farrell, Rayleen V Bowman, Kwun M Fong, Ian A Yang

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 34 citations in OpenAlex.

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  19. Plasma miR-150-5p as a Biomarker for Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary disease · 2023
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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

4 authors at 1 institution in 1 country.

Hannah E O'FarrellThe University of Queensland Thoracic Research Centre, The Prince Charles Hospital, Chermside, QLD 4032, Australia.ORCID 0000-0002-4241-8697
Rayleen V BowmanThe University of Queensland Thoracic Research Centre, The Prince Charles Hospital, Chermside, QLD 4032, Australia.
Kwun M FongThe University of Queensland Thoracic Research Centre, The Prince Charles Hospital, Chermside, QLD 4032, Australia.ORCID 0000-0002-6507-1403
Ian A YangThe University of Queensland Thoracic Research Centre, The Prince Charles Hospital, Chermside, QLD 4032, Australia.
The University of Queensland · AU

Funding

Prince Charles Hospital Foundation INN2018-111
6 · The paper itself

Abstract

Lung cancer remains the leading cause of cancer related mortality worldwide. We aimed to test whether a simple blood biomarker (extracellular vesicle miRNAs) can discriminate between cases with and without lung cancer.

methodsplasma extracellular vesicles (EVs) were isolated from four cohorts (n = 20 in each): healthy non-smokers, healthy smokers, lung cancer, and stable COPD participants. EV miRNA expression was evaluated using the miRCURY LNA miRNA Serum/Plasma assay for 179 specific targets. Significantly dysregulated miRNAs were assessed for discriminatory power using ROC curve analysis.

results15 miRNAs were differentially expressed between lung cancer and healthy non-smoking participants, with the greatest single miRNA being miR-205-5p (AUC 0.850), improving to AUC 0.993 in combination with miR-199a-5p. Moreover, 26 miRNAs were significantly dysregulated between lung cancer and healthy smoking participants, with the greatest single miRNA being miR-497-5p (AUC 0.873), improving to AUC 0.953 in combination with miR-22-5p; 14 miRNAs were significantly dysregulated between lung cancer and stable COPD participants, with the greatest single miRNA being miR-27a-3p (AUC 0.803), with two other miRNAs (miR-106b-3p and miR-361-5p) further improving discriminatory power (AUC 0.870).

conclusionthis case control study suggests miRNAs in EVs from plasma holds key biological information specific for lung cancer and warrants further prospective assessment.

Indexed as

AgedBiomarkers, TumorEarly Detection of CancerExtracellular VesiclesFemaleGene Expression ProfilingHumansLung NeoplasmsMaleMicroRNAsMiddle AgedPulmonary Disease, Chronic ObstructiveROC CurveSmokingBiomarkers, TumorMicroRNAsMIRN106 microRNA, humanmirn199 microRNA, humanMIRN22 microRNA, humanMIRN27 microRNA, humanMIRN361 microRNA, humanMIRN497 microRNA, humanchronic obstructive pulmonary diseaseextracellular vesicleslung cancermiRNAsplasma

Identifiers

PMID34071592
PMCPMC8198071
OpenAlexW3163999552

What Socratic 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 Socratic graph.