Evidence map›Paper›PMID 26078486›Full record

ArticleDisease markers2015

Stability Assessment of Candidate Reference Genes in Urine Sediment of Prostate Cancer Patients for miRNA Applications.

Maria Giulia Egidi, Giovanni Cochetti, Gabriella Guelfi, Danilo Zampini, Silvana Diverio, Giulia Poli, Ettore Mearini

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  5. Observational
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  16. MicroRNA-939 Directly TargetsOncoTargets and therapy · 2020
    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

7 authors at 1 institution in 1 country.

Maria Giulia EgidiDepartment of Surgical and Biomedical Sciences, Institution of Urological, Andrological Surgery and Minimally Invasive Techniques, University of Perugia, Loc. S. Andrea delle Fratte, 06156 Perugia, Italy.
Giovanni CochettiDepartment of Surgical and Biomedical Sciences, Institution of Urological, Andrological Surgery and Minimally Invasive Techniques, University of Perugia, Loc. S. Andrea delle Fratte, 06156 Perugia, Italy.ORCID 0000-0003-3982-2004
Gabriella GuelfiDepartment of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy.ORCID 0000-0003-3695-9275
Danilo ZampiniDepartment of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy.ORCID 0000-0002-3887-9204
Silvana DiverioDepartment of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy.ORCID 0000-0003-2128-6952
Giulia PoliDepartment of Surgical and Biomedical Sciences, Institution of Urological, Andrological Surgery and Minimally Invasive Techniques, University of Perugia, Loc. S. Andrea delle Fratte, 06156 Perugia, Italy.ORCID 0000-0002-3706-5671
Ettore MeariniDepartment of Surgical and Biomedical Sciences, Institution of Urological, Andrological Surgery and Minimally Invasive Techniques, University of Perugia, Loc. S. Andrea delle Fratte, 06156 Perugia, Italy.ORCID 0000-0003-1652-2965
University of Perugia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed at assessing the stability of candidate reference genes in urine sediments of men subjected to digital rectal examination for suspected prostate cancer (PCa). Two microRNAs (miR-191 and miR-25) and 1 small nucleolar RNA (SNORD48) were assayed in 35 post-DRE urine sediments of men with PCa and in 26 subjects with histologically confirmed benign prostatic hyperplasia (BPH). The stability of candidate reference genes was assessed through BestKeeper algorithm and equivalence test. miR-200b and miR-452 were used to test for the effect of normalization on target genes. Our results proved miR-191 to be the most stable gene, showing the lowest degree of variation and the highest stability value. miR-25 and SNORD48 values fell beyond the cutoff of acceptability. In conclusion, we recommend the use of miR-191 for normalization purposes in post-DRE urine sediments.

Indexed as

AgedAged, 80 and overAlgorithmsBiomarkers, TumorHumansMaleMicroRNAsMiddle AgedProstatic HyperplasiaProstatic NeoplasmsReference StandardsBiomarkers, TumorMicroRNAs

Identifiers

PMID26078486
PMCPMC4452852
OpenAlexW1521698887

What OpenQuestion holds

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LicenceCC BY
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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.