Evidence map›Paper›PMID 28460486›Full record

ArticleOncotarget2017

Small RNA sequencing reveals metastasis-related microRNAs in lung adenocarcinoma.

Iben Daugaard, Morten T Venø, Yan Yan, Tina E Kjeldsen, Philippe Lamy, Henrik Hager, Jørgen Kjems, Lise Lotte Hansen

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 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

23 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. The Use of Next-Generation Sequencing in Personalized Medicine.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  3. Article
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  5. Article
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  7. Article
  8. Review
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  10. Article
  11. Review
  12. The Biogenesis and Functions of piRNAs in Human Diseases.Molecular therapy. Nucleic acids · 2020
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. piRDisease v1.0: a manually curated database for piRNA associated diseases.Database : the journal of biological databases and curation · 2019
    Article
  18. Article
  19. Article
  20. Article
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

8 authors at 3 institutions in 1 country.

Iben DaugaardDepartment of Biomedicine, Aarhus University, DK-8000 Aarhus C, Denmark.
Morten T VenøDepartment of Molecular Biology and Genetics, Interdisciplinary Nanoscience Center (iNANO), Aarhus University, DK-8000 Aarhus C, Denmark.
Yan YanDepartment of Molecular Biology and Genetics, Interdisciplinary Nanoscience Center (iNANO), Aarhus University, DK-8000 Aarhus C, Denmark.
Tina E KjeldsenDepartment of Biomedicine, Aarhus University, DK-8000 Aarhus C, Denmark.
Philippe LamyDepartment of Molecular Medicine, Aarhus University Hospital, DK-8200 Aarhus N, Denmark.
Henrik HagerDepartment of Pathology, Aarhus University Hospital, DK-8000 Aarhus C, Denmark.
Jørgen KjemsDepartment of Molecular Biology and Genetics, Interdisciplinary Nanoscience Center (iNANO), Aarhus University, DK-8000 Aarhus C, Denmark.
Lise Lotte HansenDepartment of Biomedicine, Aarhus University, DK-8000 Aarhus C, Denmark.
Aarhus University · DKAarhus University Hospital · DKVejle Sygehus · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of lung cancer deaths are caused by metastatic disease. MicroRNAs (miRNAs) are posttranscriptional regulators of gene expression and miRNA dysregulation can contribute to metastatic progression. Here, small RNA sequencing was used to profile the miRNA and piwi-interacting RNA (piRNA) transcriptomes in relation to lung cancer metastasis. RNA-seq was performed using RNA extracted from formalin-fixed paraffin embedded (FFPE) lung adenocarcinomas (LAC) and brain metastases from 8 patients, and LACs from 8 patients without detectable metastatic disease. Impact on miRNA and piRNA transcriptomes was subtle with 9 miRNAs and 8 piRNAs demonstrating differential expression between metastasizing and non-metastasizing LACs. For piRNAs, decreased expression of piR-57125 was the most significantly associated with distant metastasis. Validation by RT-qPCR in a LAC cohort comprising 52 patients confirmed that decreased expression of miR-30a-3p and increased expression of miR-210-3p were significantly associated with the presence of distant metastases. miR-210-3p tumor cell specificity was evaluated by in situ hybridization and its biomarker potential was confirmed by ROC curve analysis (AUC = 0.839). Lastly, agreement between miRNA-seq and RT-qPCR for FFPE-derived RNA was evaluated and a high level of concordance was determined. In conclusion, this study has identified and validated metastasis-related miRNAs in LAC.

Indexed as

Gene Expression Regulation, NeoplasticAdenocarcinomaAdenocarcinoma of LungDNA MethylationGene Expression ProfilingHumansLung NeoplasmsMicroRNAsNeoplasm MetastasisNeoplasm StagingPromoter Regions, GeneticReproducibility of ResultsSequence Analysis, RNATranscriptomeMicroRNAsMIRN210 microRNA, humanFFPElung adenocarcinomametastasismicroRNAmiRNA-seq

Identifiers

PMID28460486
PMCPMC5432317
OpenAlexW2592829562

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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.