Evidence map›Paper›PMID 31677346›Full record

ArticleFEBS open bio2019

A panel of miRNAs derived from plasma extracellular vesicles as novel diagnostic biomarkers of lung adenocarcinoma.

Bing Yao, Shuang Qu, Ruifeng Hu, Wen Gao, Shidai Jin, Ming Liu, Quan Zhao

Open access · goldAbstract read
In one paragraph

Article in FEBS open bio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. The diagnostic and prognostic value of exosomal microRNAs in lung cancer: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
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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

7 authors at 2 institutions in 1 country.

Bing YaoThe State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, China.ORCID 0000-0002-6657-2760
Shuang QuThe State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, China.
Ruifeng HuThe State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, China.
Wen GaoDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, China.
Shidai JinDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, China.
Ming LiuThe State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, China.
Quan ZhaoThe State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, China.
State Key Laboratory of Pharmaceutical BiotechnologyJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer-related morbidity and mortality worldwide, with lung adenocarcinoma (LUAD) being the most common histological subtype (approximately 40%). In the absence of reliable screening biomarkers for early diagnosis, most patients with LUAD are inevitably diagnosed at an advanced stage. MicroRNAs (miRNAs) encapsulated within plasma-derived extracellular vesicles (EVs) may be suitable for use as noninvasive diagnostic biomarkers for aggressive malignancies, including LUAD. In this study, we first investigated the miRNA profiles of plasma-derived EVs from LUAD patients and healthy donors, and then systematically evaluated the expression patterns of selected plasma-derived EV miRNAs in a large cohort of patients with LUAD and healthy controls. Notably, we observed that miR-451a, miR-194-5p, and miR-486-5p were significantly increased in EVs from LUAD patients, compared to healthy controls. The area under the curve values for the three miRNAs were 0.9040 (95% confidence interval [CI], 0.8633-0.9447) for miR-451a, 0.7492 (95% CI, 0.6992-0.7992) for miR-194-5p, and 0.9574 (95% CI, 0.9378-0.9769) for miR-486-5p, while the AUC of the combination of these three miRNAs was 0.9650. Thus, these results suggest that these EV miRNAs may be promising candidates for the development of highly effective, noninvasive biomarkers for early LUAD diagnosis.

Indexed as

AdenocarcinomaAdenocarcinoma of LungAgedArea Under CurveBiomarkers, TumorCohort StudiesEarly Detection of CancerExtracellular VesiclesFemaleGene Expression Regulation, NeoplasticHumansLung NeoplasmsMaleMicroRNAsMiddle AgedROC CurveBiomarkers, TumorMicroRNAsMIRN194 microRNA, humanMIRN451 microRNA, humanMIRN486 microRNA, humanbiomarkerextracellular vesicleslung adenocarcinomamiRNAs

Identifiers

PMID31677346
PMCPMC6886307
OpenAlexW2983750334

What OpenQuestion holds

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LicenceCC BY
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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.