Evidence map›Paper›PMID 28934131›Full record

ReviewInternational journal of molecular sciences2017

Tissue-Based MicroRNAs as Predictors of Biochemical Recurrence after Radical Prostatectomy: What Can We Learn from Past Studies?

Zhongwei Zhao, Carsten Stephan, Sabine Weickmann, Monika Jung, Glen Kristiansen, Klaus Jung

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
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.

Zhongwei ZhaoDepartment of Urology, University Hospital Charité, 10117 Berlin, Germany. zhongwei.zhao@charite.de.
Carsten StephanDepartment of Urology, University Hospital Charité, 10117 Berlin, Germany. carsten.stephan@charite.de.
Sabine WeickmannDepartment of Urology, University Hospital Charité, 10117 Berlin, Germany. Sabine.weickmann@charite.de.
Monika JungDepartment of Urology, University Hospital Charité, 10117 Berlin, Germany. monika.jung@charite.de.
Glen KristiansenInstitute for Pathology, University Hospital Bonn, 53123 Bonn, Germany. glen.kristiansen@ukbonn.de.
Klaus JungDepartment of Urology, University Hospital Charité, 10117 Berlin, Germany. klaus.jung@charite.de.
Charité - Universitätsmedizin Berlin · DEUniversity Hospital Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing understanding of the molecular mechanism of the microRNAs (miRNAs) in prostate cancer (PCa), the predictive potential of miRNAs has received more attention by clinicians and laboratory scientists. Compared with the traditional prognostic tools based on clinicopathological variables, including the prostate-specific antigen, miRNAs may be helpful novel molecular biomarkers of biochemical recurrence for a more accurate risk stratification of PCa patients after radical prostatectomy and may contribute to personalized treatment. Tissue samples from prostatectomy specimens are easily available for miRNA isolation. Numerous studies from different countries have investigated the role of tissue-miRNAs as independent predictors of disease recurrence, either alone or in combination with other clinicopathological factors. For this purpose, a PubMed search was performed for articles published between 2008 and 2017. We compiled a profile of dysregulated miRNAs as potential predictors of biochemical recurrence and discussed their current clinical relevance. Because of differences in analytics, insufficient power and the heterogeneity of studies, and different statistical evaluation methods, limited consistency in results was obvious. Prospective multi-institutional studies with larger sample sizes, harmonized analytics, well-structured external validations, and reasonable study designs are necessary to assess the real prognostic information of miRNAs, in combination with conventional clinicopathological factors, as predictors of biochemical recurrence.

Indexed as

Biomarkers, TumorHumansMaleMicroRNAsNeoplasm Recurrence, LocalPrecision MedicinePrognosisProstateProstatectomyProstate-Specific AntigenProstatic NeoplasmsRetrospective StudiesRisk AssessmentBiomarkers, TumorMicroRNAsProstate-Specific Antigenbiochemical recurrencemicroRNAprognostic biomarkersprostate cancerradical prostatectomy

Identifiers

PMID28934131
PMCPMC5666705
OpenAlexW2758688587

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.