Evidence map›Paper›PMID 28035947›Full record

ReviewGenes2016

Non-Coding RNAs in Lung Cancer: Contribution of Bioinformatics Analysis to the Development of Non-Invasive Diagnostic Tools.

Meik Kunz, Beat Wolf, Harald Schulze, David Atlan, Thorsten Walles, Heike Walles, Thomas Dandekar

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-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

15 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. lncRNA SLC16A1-AS1 as a novel prognostic biomarker in non-small cell lung cancer.Journal of investigative medicine : the official publication of the American Federation for Clinical Research · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. [Progress of Long Non-coding RNA in Non-small Cell Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2018
    Review
  14. Review
  15. 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

7 authors at 5 institutions in 3 countries.

Meik KunzFunctional Genomics and Systems Biology Group, Department of Bioinformatics, Biocenter, University of Wuerzburg, 97074 Wuerzburg, Germany. meik.kunz@uni-wuerzburg.de.
Beat WolfFunctional Genomics and Systems Biology Group, Department of Bioinformatics, Biocenter, University of Wuerzburg, 97074 Wuerzburg, Germany. beat.wolf@hefr.ch.
Harald SchulzeInstitute of Experimental Biomedicine, University Hospital Wuerzburg, 97080 Wuerzburg, Germany. schulze_h@ukw.de.
David AtlanPhenosystems SA, 137 Rue de Tubize, 1440 Braine le Château, Belgium. phenosystems@gmail.com.
Thorsten WallesDepartment of Cardiothoracic Surgery, University Hospital of Wuerzburg, 97080 Wuerzburg, Germany. walles_t@ukw.de.
Heike WallesDepartment of Tissue Engineering and Regenerative Medicine, University Hospital Wuerzburg, Roentgenring 11, 97070 Wuerzburg, Germany. heike.walles@igb.fraunhofer.de.
Thomas DandekarFunctional Genomics and Systems Biology Group, Department of Bioinformatics, Biocenter, University of Wuerzburg, 97074 Wuerzburg, Germany. dandekar@biozentrum.uni-wuerzburg.de.
Universitätsklinikum Würzburg · DEEuropean Molecular Biology Laboratory · DEFraunhofer Institute for Interfacial Engineering and Biotechnology · DEHES-SO University of Applied Sciences and Arts Western Switzerland · CHPhenoSystems (Belgium) · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is currently the leading cause of cancer related mortality due to late diagnosis and limited treatment intervention. Non-coding RNAs are not translated into proteins and have emerged as fundamental regulators of gene expression. Recent studies reported that microRNAs and long non-coding RNAs are involved in lung cancer development and progression. Moreover, they appear as new promising non-invasive biomarkers for early lung cancer diagnosis. Here, we highlight their potential as biomarker in lung cancer and present how bioinformatics can contribute to the development of non-invasive diagnostic tools. For this, we discuss several bioinformatics algorithms and software tools for a comprehensive understanding and functional characterization of microRNAs and long non-coding RNAs.

Indexed as

algorithmbioinformaticsearly diagnosislncRNAslung cancermiRNAsnon-invasive biomarkers

Identifiers

PMID28035947
PMCPMC5295003
OpenAlexW2562438098

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.