Evidence map›Paper›PMID 28055956›Full record

ArticleOncotarget2017

Circulating exosomal microRNAs as prognostic biomarkers for non-small-cell lung cancer.

Qingyun Liu, Zubin Yu, Shuai Yuan, Weijia Xie, Chengying Li, Zeyao Hu, Ying Xiang, Na Wu, Long Wu, Li Bai and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
154citing papers in PubMed, 8 pooled it
12.2field-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

154 citing papers in PubMed, 8 syntheses or guidelines pooled it, 250 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review

94 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

11 authors at 1 institution in 1 country.

Qingyun LiuDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, People's Republic of China.
Zubin YuDepartment of Thoracic Surgery, Xinqiao Hospital, Third Military Medical University, Chongqing, People's Republic of China.
Shuai YuanDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, People's Republic of China.
Weijia XieDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, People's Republic of China.
Chengying LiDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, People's Republic of China.
Zeyao HuDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, People's Republic of China.
Ying XiangDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, People's Republic of China.
Na WuDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, People's Republic of China.
Long WuDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, People's Republic of China.
Li BaiDepartment of Respiratory Disease, Xinqiao Hospital, Third Military Medical University, Chongqing, People's Republic of China.
Yafei LiDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, People's Republic of China.
Army Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomal miRNAs are proposed as excellent candidate biomarkers for clinical applications. However, little is known about their potential roles as prognostic biomarkers in lung cancer. In this study, we explored the prognostic value of plasma exosomal microRNAs (miRNAs) for non-small-cell lung cancer (NSCLC). Using a quantitative polymerase chain reaction (qPCR) array panel, we analyzed 84 plasma exosomal miRNAs in 10 lung adenocarcinoma patients and 10 matched healthy controls. The qPCR array showed 30 aberrantly expressed exosomal miRNAs. Nine candidate miRNAs were selected based on differential expression and previous reports for further evaluating their prognostic roles in 196 NSCLC patients. Elevated levels of exosomal miR-23b-3p, miR-10b-5p and miR-21-5p were independently associated with poor overall survival (with hazard ratio [95% confidence interval]: 2.42 (1.45 - 4.04), P = 0.001; 2.22 (1.18 - 4.16), P = 0.013; 2.12 (1.28 - 3.49), P = 0.003, respectively). When compared to the clinical prognostic variables only model, adding the three exosomal miRNA signatures significantly improved survival predictive accuracy with an increase of time-dependent area under the receiver operating characteristic curve from 0.88 to 0.91 (P=0.015). Our results indicated that plasma exosomal miR-23b-3p, miR-10b-5p and miR-21-5p are promising non-invasive prognostic biomarkers of NSCLC.

Indexed as

AgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungExosomesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateLung NeoplasmsMaleMicroRNAsMicroscopy, Electron, TransmissionMiddle AgedMultivariate AnalysisPrognosisBiomarkers, TumorMicroRNAsbiomarkerexosomemiRNAsnon-small-cell lung cancer (NSCLC)prognosis

Identifiers

PMID28055956
PMCPMC5355076
OpenAlexW2564567999

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.