Back to Search Start Over

A Cancer-Indicative microRNA Pattern in Normal Prostate Tissue

Authors :
Thorsten Schlomm
Thomas Steuber
Holger Sültmann
Andreas Erbersdobler
Hendrik Isbarn
Jan C. Brase
Yu-Mi Jessica Sylvester
Christina Sellier
Olaf J. C. Hellwinkel
Christina Wagner
Source :
International Journal of Molecular Sciences, Vol 14, Iss 3, Pp 5239-5249 (2013)
Publication Year :
2013
Publisher :
MDPI AG, 2013.

Abstract

We analyzed the levels of selected micro-RNAs in normal prostate tissue to assess their potential to indicate tumor foci elsewhere in the prostate. Histologically normal prostate tissue samples from 31 prostate cancer patients and two cancer negative control groups with either unsuspicious or elevated prostate specific antigen (PSA) levels (14 and 17 individuals, respectively) were analyzed. Based on the expression analysis of 157 microRNAs in a pool of prostate tissue samples and information from data bases/literature, we selected eight microRNAs for quantification by real-time polymerase chain reactions (RT-PCRs). Selected miRNAs were analyzed in histologically tumor-free biopsy samples from patients and healthy controls. We identified seven microRNAs (miR-124a, miR-146a & b, miR-185, miR-16 and let-7a & b), which displayed significant differential expression in normal prostate tissue from men with prostate cancer compared to both cancer negative control groups. Four microRNAs (miR-185, miR-16 and let-7a and let-7b) remained to significantly discriminate normal tissues from prostate cancer patients from those of the cancer negative control group with elevated PSA levels. The transcript levels of these microRNAs were highly indicative for the presence of cancer in the prostates, independently of the PSA level. Our results suggest a microRNA-pattern in histologically normal prostate tissue, indicating prostate cancer elsewhere in the organ.

Details

Language :
English
ISSN :
14220067
Volume :
14
Issue :
3
Database :
Directory of Open Access Journals
Journal :
International Journal of Molecular Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.0a4f41ae1b8b4c02ab41a61212743cb4
Document Type :
article
Full Text :
https://doi.org/10.3390/ijms14035239