Next Article in Journal
Salmonella O48 Serum Resistance is Connected with the Elongation of the Lipopolysaccharide O-Antigen Containing Sialic Acid
Next Article in Special Issue
Biofilm Formation by Uropathogenic Escherichia coli Is Favored under Oxygen Conditions That Mimic the Bladder Environment
Previous Article in Journal
Isoliquiritigenin Induces Autophagy and Inhibits Ovarian Cancer Cell Growth
Previous Article in Special Issue
Dual Strands of Pre-miR-149 Inhibit Cancer Cell Migration and Invasion through Targeting FOXM1 in Renal Cell Carcinoma
Article Menu

Export Article

Open AccessReview
Int. J. Mol. Sci. 2017, 18(10), 2023; doi:10.3390/ijms18102023

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

1
Department of Urology, University Hospital Charité, 10117 Berlin, Germany
2
Berlin Institute for Urologic Research at the Charité, 10115 Berlin, Germany
3
Institute for Pathology, University Hospital Bonn, 53123 Bonn, Germany
*
Author to whom correspondence should be addressed.
Received: 18 August 2017 / Revised: 16 September 2017 / Accepted: 19 September 2017 / Published: 21 September 2017
(This article belongs to the Special Issue Molecular Research on Urology)
View Full-Text   |   Download PDF [984 KB, uploaded 21 September 2017]   |  

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. View Full-Text
Keywords: microRNA; prognostic biomarkers; prostate cancer; radical prostatectomy; biochemical recurrence microRNA; prognostic biomarkers; prostate cancer; radical prostatectomy; biochemical recurrence
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zhao, Z.; Stephan, C.; Weickmann, S.; Jung, M.; Kristiansen, G.; Jung, K. Tissue-Based MicroRNAs as Predictors of Biochemical Recurrence after Radical Prostatectomy: What Can We Learn from Past Studies? Int. J. Mol. Sci. 2017, 18, 2023.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Int. J. Mol. Sci. EISSN 1422-0067 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top