Evidence map›Paper›PMID 27768748›Full record

ArticlePloS one2016

Plasma miR-19b and miR-183 as Potential Biomarkers of Lung Cancer.

Ivan A Zaporozhchenko, Evgeny S Morozkin, Tatyana E Skvortsova, Anastasia A Ponomaryova, Elena Yu Rykova, Nadezhda V Cherdyntseva, Evgeny S Polovnikov, Oksana A Pashkovskaya, Evgeny A Pokushalov, Valentin V Vlassov and 1 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Non-Coding RNAs in Lung Tumor Initiation and Progression.International journal of molecular sciences · 2020
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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

11 authors.

Ivan A ZaporozhchenkoInstitute of Chemical Biology and Fundamental Medicine of SB RAS, Novosibirsk, Russia.ORCID http://orcid.org/0000-0001-9101-2207
Evgeny S MorozkinInstitute of Chemical Biology and Fundamental Medicine of SB RAS, Novosibirsk, Russia.
Tatyana E SkvortsovaInstitute of Chemical Biology and Fundamental Medicine of SB RAS, Novosibirsk, Russia.
Anastasia A PonomaryovaTomsk Cancer Research Institute of SB RAMS, Tomsk, Russia.
Elena Yu RykovaInstitute of Chemical Biology and Fundamental Medicine of SB RAS, Novosibirsk, Russia.
Nadezhda V CherdyntsevaTomsk Cancer Research Institute of SB RAMS, Tomsk, Russia.
Evgeny S PolovnikovNovosibirsk Research Institute of Circulation Pathology of Academician E.N. Meshalkin, Novosibirsk, Russia.
Oksana A PashkovskayaNovosibirsk Research Institute of Circulation Pathology of Academician E.N. Meshalkin, Novosibirsk, Russia.
Evgeny A PokushalovNovosibirsk Research Institute of Circulation Pathology of Academician E.N. Meshalkin, Novosibirsk, Russia.
Valentin V VlassovInstitute of Chemical Biology and Fundamental Medicine of SB RAS, Novosibirsk, Russia.
Pavel P LaktionovInstitute of Chemical Biology and Fundamental Medicine of SB RAS, Novosibirsk, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is a complex disease that often manifests at the point when treatment is not effective. Introduction of blood-based complementary diagnostics using molecular markers may enhance early detection of this disease and help reduce the burden of lung cancer. Here we evaluated the diagnostic potential of seven plasma miRNA biomarkers (miR-21, -19b, -126, -25, -205, -183, -125b) by quantitative reverse transcription PCR. Influence clinical and demographical characteristics, including age, tumor stage and cancer subtype on miRNA levels was investigated. Four miRNAs were significantly dysregulated (miR-19b, -21, -25, -183) in lung cancer patients. Combination of miR-19b and miR-183 provided detection of lung cancer with 94.7% sensitivity and 95.2% specificity (AUC = 0.990). Thus, miRNAs have shown the potential to discriminate histological subtypes of lung cancer and reliably distinguish lung cancer patients from healthy individuals.

Indexed as

AdultAgedBiomarkers, TumorFemaleHumansMaleMicroRNAsMiddle AgedSensitivity and SpecificityBiomarkers, TumorMicroRNAsMIRN183 microRNA, humanMIRN19A microRNA, human

Identifiers

PMID27768748
PMCPMC5074500

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.