Evidence map›Paper›PMID 33277569›Full record

ArticleScientific reports2020

Detection of urinary miRNAs for diagnosis of clear cell renal cell carcinoma.

Giovanni Cochetti, Luigi Cari, Giuseppe Nocentini, Vincenza Maulà, Chiara Suvieri, Rosy Cagnani, Jacopo Adolfo Rossi De Vermandois, Ettore Mearini

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

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

  1. Pooled it
  2. Urinary MicroRNAs as Biomarkers of Urological Cancers: A Systematic Review.International journal of molecular sciences · 2023
    Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Targeting miRNAs in renal cell carcinoma: emerging therapeutic strategies.International journal of clinical oncology · 2025
    Review
  11. Article
  12. Review
  13. Review
  14. Role of miRNA‑122 in cancer (Review).International journal of oncology · 2024
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Urinary miRNAs: Technical Updates.MicroRNA (Shariqah, United Arab Emirates) · 2024
    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

8 authors.

Giovanni CochettiUrology Clinic, Department of Medicine and Surgery, University of Perugia, Perugia, Italy.
Luigi CariPharmacology Section, Department of Medicine and Surgery, University of Perugia, Perugia, Italy.
Giuseppe NocentiniPharmacology Section, Department of Medicine and Surgery, University of Perugia, Perugia, Italy. giuseppe.nocentini@unipg.it.
Vincenza MaulàUrology Clinic, Department of Medicine and Surgery, University of Perugia, Perugia, Italy.
Chiara SuvieriUrology Clinic, Department of Medicine and Surgery, University of Perugia, Perugia, Italy.
Rosy CagnaniUrology Clinic, Department of Medicine and Surgery, University of Perugia, Perugia, Italy.
Jacopo Adolfo Rossi De VermandoisUrology Clinic, Department of Medicine and Surgery, University of Perugia, Perugia, Italy.
Ettore MeariniUrology Clinic, Department of Medicine and Surgery, University of Perugia, Perugia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lack of symptoms at the early stages of clear cell renal cell carcinoma (ccRCC) allows the tumour to metastasize, leading to a dramatic reduction in patient survival. Therefore, we studied and set up a method based on urinary microRNAs (miRNAs) for the diagnosis of ccRCC. First, miRNA expression in ccRCC specimens and kidney tissues from healthy subjects (HSs) was investigated through analysis of data banks and validated by comparing expression of miRNAs in ccRCC and adjacent non-cancerous kidney tissue specimens by RT-qPCR. Subsequently, we developed an algorithm to establish which miRNAs are more likely to be found in the urine of ccRCC patients that indicated miR-122, miR-1271, and miR-15b as potential interesting markers. The evaluation of their levels and three internal controls in the urine of 13 patients and 14 HSs resulted in the development of a score (7p-urinary score) to evaluate the presence of ccRCC in patients. The resulting area under the Receiver Operating Characteristic (ROC) curve, sensitivity, and specificity were equal to 0.96, 100% (95% CI 75-100%), and 86% (95% CI 57-98%), respectively. In conclusion, our study provides a proof of concept that combining the expression values of some urinary miRNAs might be useful in the diagnosis of ccRCC.

Indexed as

AdultAgedAged, 80 and overAlgorithmsBiomarkers, TumorCarcinoma, Renal CellCase-Control StudiesFemaleHumansKidney NeoplasmsMaleMicroRNAsMiddle AgedBiomarkers, TumorMicroRNAs

Identifiers

PMID33277569
PMCPMC7718885

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.