Evidence map›Paper›PMID 24313945›Full record

ArticleBMC research notes2013

Evaluation of long noncoding RNA MALAT1 as a candidate blood-based biomarker for the diagnosis of non-small cell lung cancer.

Daniel Gilbert Weber, Georg Johnen, Swaantje Casjens, Oleksandr Bryk, Beate Pesch, Karl-Heinz Jöckel, Jens Kollmeier, Thomas Brüning

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 3 pooled it
5.7field-weighted citation impact, top 3% 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

117 citing papers in PubMed, 3 syntheses or guidelines pooled it, 192 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Prognostic value of long non-coding RNA MALAT1 in cancer patients.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Pooled it
  4. Review
  5. Review
  6. Unraveling LncRNAs: the future of lung cancer treatment.Journal of the Egyptian National Cancer Institute · 2025
    Review
  7. Review
  8. [Ferroptosis-related long non-coding RNA to predict the clinical outcome of non-small cell lung cancer after radiotherapy].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025
    Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. The Role of EMT-Related lncRNAs in Ovarian Cancer.International journal of molecular sciences · 2023
    Review
  18. Review
  19. Review
  20. Review

57 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

8 authors at 4 institutions in 1 country.

Daniel Gilbert WeberInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany. weber@ipa-dguv.de.
Georg Johnen
Swaantje Casjens
Oleksandr Bryk
Beate Pesch
Karl-Heinz Jöckel
Jens Kollmeier
Thomas Brüning
Institute for Prevention and Occupational Medicine · DERuhr University Bochum · DEHelios Klinikum Emil von Behring · DEUniversity of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe long noncoding RNA MALAT1 (metastasis-associated lung adenocarcinoma transcript 1) is described as a potential biomarker for NSCLC (non-small cell lung cancer). Diagnostic biomarkers need to be detectable in easily accessible body fluids, should be characterized by high specificity, sufficient sensitivity, and robustness against influencing factors. The aim of this study was to evaluate the performance of MALAT1 as a blood based biomarker for NSCLC.

resultsMALAT1 was shown to be detectable in the cellular fraction of peripheral human blood, showing different expression levels between cancer patients and cancer-free controls. For the discrimination of NSCLC patients from cancer-free controls a sensitivity of 56% was calculated conditional on a high specificity of 96%. No impact of tumor stage, age, gender, and smoking status on MALAT1 levels could be observed, but results based on small numbers.

conclusionsThe results of this study indicate that MALAT1 complies with key characteristics of diagnostic biomarkers, i.e., minimal invasiveness, high specificity, and robustness. Due to its relatively low sensitivity MALAT1 might not be feasible as a single biomarker for the diagnosis of NSCLC in the cellular fraction of blood. Alternatively, MALAT1 might be applicable as a complementary biomarker within a panel in order to improve the entire diagnostic performance.

Indexed as

RNA, Long NoncodingAgedAged, 80 and overBiomarkers, TumorCarcinoma, Non-Small-Cell LungFemaleHumansLung NeoplasmsMaleMiddle AgedReal-Time Polymerase Chain ReactionBiomarkers, TumorMALAT1 long non-coding RNA, humanRNA, Long Noncoding

Identifiers

PMID24313945
PMCPMC4029199
OpenAlexW2143523247

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.