Evidence map›Paper›PMID 28915579›Full record

ArticleOncotarget2017

MicroRNA profiling associated with non-small cell lung cancer: next generation sequencing detection, experimental validation, and prognostic value.

Sandra Gallach, Eloisa Jantus-Lewintre, Silvia Calabuig-Fariñas, David Montaner, Sergio Alonso, Rafael Sirera, Ana Blasco, Marta Usó, Ricardo Guijarro, Miguel Martorell and 1 more

Abstract 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 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Synthetic Circular miR-21 Sponge as Tool for Lung Cancer Treatment.International journal of molecular sciences · 2022
    Article
  9. Molecular Pathology of Lung Cancer.Cold Spring Harbor perspectives in medicine · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Overview upon miR-21 in lung cancer: focus on NSCLC.Cellular and molecular life sciences : CMLS · 2018
    Review
  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.

Sandra GallachMolecular Oncology Laboratory, Fundación Investigación, Hospital General Universitario de Valencia, Valencia, Spain.
Eloisa Jantus-LewintreMolecular Oncology Laboratory, Fundación Investigación, Hospital General Universitario de Valencia, Valencia, Spain.
Silvia Calabuig-FariñasMolecular Oncology Laboratory, Fundación Investigación, Hospital General Universitario de Valencia, Valencia, Spain.
David MontanerDepartment of Computational Genomics, Centro de Investigación Príncipe Felipe, Valencia, Spain.
Sergio AlonsoProgram of Predictive and Personalized Medicine of Cancer, Institut de Reserca Germans Trias i Pujol (PMPPC-IGTP), Badalona, Spain.
Rafael SireraCentro de Investigación Biomédica en Red de Cáncer (CIBEROnc), Madrid, Spain.
Ana BlascoCentro de Investigación Biomédica en Red de Cáncer (CIBEROnc), Madrid, Spain.
Marta UsóMolecular Oncology Laboratory, Fundación Investigación, Hospital General Universitario de Valencia, Valencia, Spain.
Ricardo GuijarroDepartment of Surgery, Universitat de València, Valencia, Spain.
Miguel MartorellDepartment of Pathology, Universitat de València, Valencia, Spain.
Carlos CampsMolecular Oncology Laboratory, Fundación Investigación, Hospital General Universitario de Valencia, Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe average five-year survival for non-small cell lung cancer (NSCLC) patients is approximately 15%. Emerging evidence indicates that microRNAs (miRNAs) constitute a new class of gene regulators in humans that may play an important role in tumorigenesis. Hence, there is growing interest in studying their role as possible new biomarkers whose expression is aberrant in cancer. Therefore, in this study we identified dysregulated miRNAs by next generation sequencing (NGS) and analyzed their prognostic value.

methodsSequencing by oligo ligation detection technology was used to identify dysregulated miRNAs in a training cohort comprising paired tumor/normal tissue samples (

resultsNGS analysis revealed that 39 miRNAs were dysregulated in NSCLC: 28 were upregulated and 11 were downregulated. Twenty-two miRNAs were validated in an independent cohort. Interestingly, the group of patients with high expression of both miRNAs (miR-21

conclusionsNGS technology can specifically identify dysregulated miRNA profiles in resectable NSCLC samples. MiR-21 or miR-188 overexpression correlated with a negative prognosis, and their combined signature may represent a new independent prognostic biomarker for RFS and OS.

Indexed as

microRNAsNGSNSCLCprofilingprognosis

Identifiers

PMID28915579
PMCPMC5593550

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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.