Evidence map›Paper›PMID 27490805›Full record

Trial reportBritish journal of cancer2016

The utility of urine-circulating miRNAs for detection of prostate cancer.

Kristina Stuopelyte, Kristina Daniunaite, Arnas Bakavicius, Juozas R Lazutka, Feliksas Jankevicius, Sonata Jarmalaite

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in British journal of cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 5 pooled it
4.6field-weighted citation impact, top 5% 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

46 citing papers in PubMed, 5 syntheses or guidelines pooled it, 104 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Urinary microRNAs expression in prostate cancer diagnosis: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020
    Pooled it
  5. Pooled it
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Urinary miRNAs: Technical Updates.MicroRNA (Shariqah, United Arab Emirates) · 2024
    Review
  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

6 authors at 2 institutions in 1 country.

Kristina StuopelyteDivision of Human Genome Research Centre, Faculty of Natural Sciences, Vilnius University, Sauletekio Avenue 7, Vilnius LT-10222, Lithuania.
Kristina DaniunaiteDivision of Human Genome Research Centre, Faculty of Natural Sciences, Vilnius University, Sauletekio Avenue 7, Vilnius LT-10222, Lithuania.
Arnas BakaviciusUrology Centre, Vilnius University, Santariskiu 2, Vilnius LT-08661, Lithuania.
Juozas R LazutkaDivision of Human Genome Research Centre, Faculty of Natural Sciences, Vilnius University, Sauletekio Avenue 7, Vilnius LT-10222, Lithuania.
Feliksas JankeviciusUrology Centre, Vilnius University, Santariskiu 2, Vilnius LT-08661, Lithuania.
Sonata JarmalaiteDivision of Human Genome Research Centre, Faculty of Natural Sciences, Vilnius University, Sauletekio Avenue 7, Vilnius LT-10222, Lithuania.
Vilnius University · LTNational Cancer Institute · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn this paper, the utility of urine-circulating microRNAs (miRNAs) as the potential biomarker of prostate cancer (PCa), the second most prevalent male cancer worldwide, was evaluated.

methodsCancerous (N=56) and non-cancerous (N=16) prostate tissues were analysed on TaqMan Low Density Array, with the initial screening of 754 miRNAs in a subset of the samples. The abundance of selected miRNAs was analysed in urine specimens from two independent cohorts of patients with PCa (N=215 overall), benign prostatic hyperplasia (BPH; N=23), and asymptomatic controls (ASC; N=62) by means of quantitative reverse transcription PCR.

resultsOver 100 miRNAs were found deregulated in PCa as compared with non-cancerous prostate tissue. After thorough validation, four miRNAs were selected for the analysis in urine specimens. The abundance of miR-148a and miR-375 in urine was identified as specific biomarkers of PCa in both cohorts. Combined analysis of urine-circulating miR-148a and miR-375 was highly sensitive and specific for PCa in both cohorts (AUC=0.79 and 0.84) and strongly improved the diagnostic power of the PSA test (AUC=0.85, cohort PCa1), including the grey diagnostic zone (AUC=0.90).

conclusionsQuantitative measurement of urine-circulating miR-148a and miR-375 can serve as the non-invasive tool for sensitive and specific detection of PCa.

Indexed as

AdenocarcinomaAgedBiomarkers, TumorFollow-Up StudiesFrozen SectionsGene Expression ProfilingHumansMaleMicroRNAsMiddle AgedNeoplasm GradingProspective StudiesProstatectomyProstate-Specific AntigenProstatic HyperplasiaProstatic NeoplasmsBiomarkers, TumorMicroRNAsProstate-Specific Antigen

Identifiers

PMID27490805
PMCPMC5023772
OpenAlexW2500746494

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.