Evidence map›Paper›PMID 26156018›Full record

ArticleOncotarget2015

High copy number variation of cancer-related microRNA genes and frequent amplification of DICER1 and DROSHA in lung cancer.

Karol Czubak, Marzena Anna Lewandowska, Katarzyna Klonowska, Krzysztof Roszkowski, Janusz Kowalewski, Marek Figlerowicz, Piotr Kozlowski

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 11% 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

50 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Association ofCurrent issues in molecular biology · 2025
    Article
  7. Article
  8. Article
  9. Prospects of microRNAs as therapeutic biomarkers in non-small cell lung cancer.Medical oncology (Northwood, London, England) · 2023
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. MicroRNAs in Genetic Etiology of Human Diseases.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  16. Consequences of genetic variants in miRNA genes.Computational and structural biotechnology journal · 2022
    Review
  17. Article
  18. Molecules (Basel, Switzerland) · 2021
    Article
  19. Review
  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

7 authors at 2 institutions in 1 country.

Karol CzubakEuropean Centre for Bioinformatics and Genomics, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.
Marzena Anna LewandowskaMolecular Oncology and Genetics Department, Innovative Medical Forum, The Franciszek Lukaszczyk Oncology Center, Bydgoszcz, Poland.
Katarzyna KlonowskaEuropean Centre for Bioinformatics and Genomics, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.
Krzysztof RoszkowskiDepartment of Radiotherapy, The Franciszek Lukaszczyk Oncology Center, Bydgoszcz, Poland.
Janusz KowalewskiDepartment of Thoracic Surgery and Tumors, Nicolaus Copernicus University, Torun, Collegium Medicum, Bydgoszcz, Poland.
Marek FiglerowiczEuropean Centre for Bioinformatics and Genomics, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.
Piotr KozlowskiEuropean Centre for Bioinformatics and Genomics, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.
Institute of Bioorganic Chemistry, Polish Academy of Sciences · PLNicolaus Copernicus University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A growing body of evidence indicates that miRNAs may be a class of genetic elements that can either drive or suppress oncogenesis. In this study we analyzed the somatic copy number variation of 14 miRNA genes frequently found to be either over- or underexpressed in lung cancer, as well as two miRNA biogenesis genes, DICER1 and DROSHA, in non-small-cell lung cancer (NSCLC). Our analysis showed that most analyzed miRNA genes undergo substantial copy number alteration in lung cancer. The most frequently amplified miRNA genes include the following: miR-30d, miR-21, miR-17 and miR-155. We also showed that both DICER1 and DROSHA are frequently amplified in NSCLC. The copy number variation of DICER1 and DROSHA correlates well with their expression and survival of NSCLC and other cancer patients. The increased expression of DROSHA and DICER1 decreases and increases the survival, respectively. In conclusion, our results show that copy number variation may be an important mechanism of upregulation/downregulation of miRNAs in cancer and suggest an oncogenic role for DROSHA.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungChromosomes, Human, Pair 5DEAD-box RNA HelicasesDown-RegulationFemaleGene DosageGene Expression ProfilingHumansLung NeoplasmsMaleMicroRNAsMiddle AgedDEAD-box RNA HelicasesDICER1 protein, humanDROSHA protein, humanMicroRNAsRibonuclease IIIDICER1DROSHAmicroRNAMLPAnon-small cell lung cancer NSCLC

Identifiers

PMID26156018
PMCPMC4695126
OpenAlexW1669465691

What OpenQuestion holds

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LicenceCC BY
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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.