Evidence map›Paper›PMID 29755679›Full record

ArticleOncotarget2018

microRNA profiles in urine by next-generation sequencing can stratify bladder cancer subtypes.

Barbara Pardini, Francesca Cordero, Alessio Naccarati, Clara Viberti, Giovanni Birolo, Marco Oderda, Cornelia Di Gaetano, Maddalena Arigoni, Federica Martina, Raffaele A Calogero and 4 more

Abstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Urinary MicroRNAs as Biomarkers of Urological Cancers: A Systematic Review.International journal of molecular sciences · 2023
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Urinary miRNAs: Technical Updates.MicroRNA (Shariqah, United Arab Emirates) · 2024
    Review
  8. Epigenetic and Immunological Features of Bladder Cancer.International journal of molecular sciences · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. The Role of Novel Bladder Cancer Diagnostic and Surveillance Biomarkers-What Should a Urologist Really Know?International journal of environmental research and public health · 2022
    Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Review
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

14 authors.

Barbara PardiniItalian Institute for Genomic Medicine, Turin, Italy.
Francesca CorderoDepartment of Computer Science, University of Turin, Turin, Italy.
Alessio NaccaratiItalian Institute for Genomic Medicine, Turin, Italy.
Clara VibertiItalian Institute for Genomic Medicine, Turin, Italy.
Giovanni BiroloItalian Institute for Genomic Medicine, Turin, Italy.
Marco OderdaDepartment of Surgical Sciences, University of Turin and Città della Salute e della Scienza, Turin, Italy.
Cornelia Di GaetanoItalian Institute for Genomic Medicine, Turin, Italy.
Maddalena ArigoniMolecular Biotechnology Center, Department of Biotechnology and Health Sciences, University of Turin, Turin, Italy.
Federica MartinaDepartment of Computer Science, University of Turin, Turin, Italy.
Raffaele A CalogeroMolecular Biotechnology Center, Department of Biotechnology and Health Sciences, University of Turin, Turin, Italy.
Carlotta SacerdoteCenter for Cancer Prevention, CPO-Piemonte, Turin, Italy.
Paolo GonteroDepartment of Surgical Sciences, University of Turin and Città della Salute e della Scienza, Turin, Italy.
Paolo VineisItalian Institute for Genomic Medicine, Turin, Italy.
Giuseppe MatulloItalian Institute for Genomic Medicine, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer (BC) is the most frequent malignancy of the urinary tract with a high incidence in men and smokers. Currently, there are no non-invasive markers useful for BC diagnosis and subtypes classification that could overcome invasive procedures such as cystoscopy. Dysregulated miRNA profiles have been associated with numerous cancers, including BC. Cell-free miRNAs are abundantly present in a variety of biofluids including urine and make them promising candidates in cancer biomarker discovery. In the present study, the identification of miRNA fingerprints associated with different BC status was performed by next-generation sequencing on urine samples from 66 BC and 48 controls. Three signatures based on dysregulated miRNAs have been identified by regression models, assessing the power to discriminate different BC subtypes. Altered miRNAs according to invasiveness and grade were validated by qPCR on 112 cases and 65 controls (among which 46 cases and 16 controls were an independent group of subjects while the rest were replica samples). The area under the curve (AUC) computed including three miRNAs (miR-30a-5p, let-7c-5p and miR-486-5p) altered in all BC subtypes showed a significantly increased accuracy in the discrimination of cases and controls (AUC model = 0.70;

Indexed as

bladder cancerliquid biopsymicroRNA profilingnext-generation sequencingurine biomarkers

Identifiers

PMID29755679
PMCPMC5945522

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.