Evidence map›Paper›PMID 25302165›Full record

ReviewWorld journal of clinical oncology2014

MicroRNAs as lung cancer biomarkers.

Valerio Del Vescovo, Margherita Grasso, Mattia Barbareschi, Michela A Denti

Open access · hybridAbstract readReview
In one paragraph

Review in World journal of clinical oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Computational and Bioinformatics Methods for MicroRNA Gene Prediction.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  12. Article
  13. Article
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  15. Review
  16. Article
  17. Article
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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

4 authors at 1 institution in 1 country.

Valerio Del VescovoValerio Del Vescovo, Margherita Grasso, Michela A Denti, Laboratory of RNA Biology and Biotechnology, Centre for Integrative Biology, University of Trento, 38123 Trento, Italy.
Margherita GrassoValerio Del Vescovo, Margherita Grasso, Michela A Denti, Laboratory of RNA Biology and Biotechnology, Centre for Integrative Biology, University of Trento, 38123 Trento, Italy.
Mattia BarbareschiValerio Del Vescovo, Margherita Grasso, Michela A Denti, Laboratory of RNA Biology and Biotechnology, Centre for Integrative Biology, University of Trento, 38123 Trento, Italy.
Michela A DentiValerio Del Vescovo, Margherita Grasso, Michela A Denti, Laboratory of RNA Biology and Biotechnology, Centre for Integrative Biology, University of Trento, 38123 Trento, Italy.
University of Trento · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer mortality worldwide. Its high mortality is due to the poor prognosis of the disease caused by a late disease presentation, tumor heterogeneities within histological subtypes, and the relatively limited understanding of tumor biology. Importantly, lung cancer histological subgroups respond differently to some chemotherapeutic substances and side effects of some therapies appear to vary between subgroups. Biomarkers able to stratify for the subtype of lung cancer, prognosticate the course of disease, or predict the response to treatment are in high demand. In the last decade, microRNAs (miRNAs), measured in resected tumor samples or in fine needle aspirate samples have emerged as biomarkers for tumor diagnosis, prognosis and prediction of response to treatment, due to the ease of their detection and in their extreme specificity. Moreover, miRNAs present in sputum, in plasma, in serum or in whole blood have increasingly been explored in the last five years as less invasive biomarkers for the early detection of cancers. In this review we cover the increasing amounts of data that have accumulated in the last ten years on the use of miRNAs as lung cancer biomarkers.

Indexed as

BiomarkersLung cancerMicroRNAsNon-small cell lung carcinomas

Identifiers

PMID25302165
PMCPMC4129526
OpenAlexW2127289105

What OpenQuestion holds

Textmetadata
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.