Literature DB >> 19676045

Diagnostic and prognostic implications of microRNA profiling in prostate carcinoma.

Annika Schaefer1, Monika Jung, Hans-Joachim Mollenkopf, Ina Wagner, Carsten Stephan, Florian Jentzmik, Kurt Miller, Michael Lein, Glen Kristiansen, Klaus Jung.   

Abstract

This study aimed to investigate the microRNA (miRNA) profile in prostate carcinoma tissue by microarray analysis and RT-qPCR, to clarify associations of miRNA expression with clinicopathologic data and to evaluate the potential of miRNAs as diagnostic and prognostic markers. Matched tumor and adjacent normal tissues were obtained from 76 radical prostatectomy specimens. Twenty-four tissue pairs were analyzed using human miRNA microarrays for 470 human miRNAs. Differentially expressed miRNAs were validated by TaqMan RT-qPCR using all 76 tissue pairs. The diagnostic potential of miRNAs was calculated by receiver operating characteristics analyses. The prognostic value was assessed in terms of biochemical recurrence using Kaplan-Meier and Cox regression analyses. Fifteen differentially expressed miRNAs were identified with concordant fold-changes by microarray and RT-qPCR analyses. Ten microRNAs (hsa-miR-16, hsa-miR-31, hsa-miR-125b, hsa-miR-145, hsa-miR-149, hsa-miR-181b, hsa-miR-184, hsa-miR-205, hsa-miR-221, hsa-miR-222) were downregulated and 5 miRNAs (hsa-miR-96, hsa-miR-182, hsa-miR-182, hsa-miR-183, hsa-375) were upregulated. Expression of 5 miRNAs correlated with Gleason score or pathological tumor stage. Already 2 microRNAs classified up to 84% of malignant and nonmalignant samples correctly. Expression of hsa-miR-96 was associated with cancer recurrence after radical prostatectomy and that prognostic information was confirmed by an independent tumor sample set from 79 patients. That was shown with hsa-miR-96 and the Gleason score as final variables in the Cox models build in the 2 patient sets investigated. Thus, differential miRNAs in prostate cancer are useful diagnostic and prognostic indicators. This study provides a solid basis for further functional analyses of miRNAs in prostate cancer.

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Year:  2010        PMID: 19676045     DOI: 10.1002/ijc.24827

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  292 in total

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Journal:  Tumour Biol       Date:  2014-05-09

9.  Hierarchical Feature Selection Incorporating Known and Novel Biological Information: Identifying Genomic Features Related to Prostate Cancer Recurrence.

Authors:  Yize Zhao; Matthias Chung; Brent A Johnson; Carlos S Moreno; Qi Long
Journal:  J Am Stat Assoc       Date:  2017-01-04       Impact factor: 5.033

10.  Identification of novel microRNA regulatory pathways associated with heterogeneous prostate cancer.

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Journal:  BMC Syst Biol       Date:  2013-10-16
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