Evidence map›Paper›PMID 24288670›Full record

ArticleBioMed research international2013

Circulating microRNAs and kallikreins before and after radical prostatectomy: are they really prostate cancer markers?

Maria Giulia Egidi, Giovanni Cochetti, Maria Rita Serva, Gabriella Guelfi, Danilo Zampini, Luca Mechelli, Ettore Mearini

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 23% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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  13. MicroRNA-939 Directly TargetsOncoTargets and therapy · 2020
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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 Medical-Surgical Sciences and Public Health, Faculty of Medicine and Surgery, University of Perugia, Loc. S. Andrea delle Fratte, 06156 Perugia, Italy.
Giovanni Cochetti
Maria Rita Serva
Gabriella Guelfi
Danilo Zampini
Luca Mechelli
Ettore Mearini
University of Perugia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of our study was to monitor serum levels of two miRNAs (miR-21 and miR-141) and three KLKs (hK3/PSA, hK11, and hK13) before and 1, 5, and 30 days after radical prostatectomy, in order to characterize their fluctuations after surgery. 38 patients with prostate cancer were included. miR-21 and miR-141 were quantified through real-time PCR, while ELISA assays were used to quantify hK3 (PSA), hK11, and hK13. Both miR-21 and miR-141 showed a significant increase at the 5th postoperative day, after which a gradual return to the preoperative levels was recorded. These findings suggest that miR-21 and miR-141 could be involved in postsurgical inflammatory processes and that radical prostatectomy does not seem to alter their circulating levels. Postoperative serum kallikreins showed a significant decrease, highlighting the potential usefulness of kallikreins apart from PSA as potential prostate cancer markers.

Indexed as

ProstatectomyAdultAnalysis of VarianceBiomarkers, TumorCase-Control StudiesDemographyHumansKallikreinsMaleMicroRNAsMiddle AgedProstate-Specific AntigenProstatic NeoplasmsROC CurveSerine EndopeptidasesBiomarkers, TumorKallikreinsKLK13 protein, humanMicroRNAsMIRN141 microRNA, humanMIRN21 microRNA, humanProstate-Specific AntigenSerine Endopeptidasestrypsin-like serine protease

Identifiers

PMID24288670
PMCPMC3830854
OpenAlexW2007457544

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.