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Open AccessArticle

A Novel Predictor Tool of Biochemical Recurrence after Radical Prostatectomy Based on a Five-MicroRNA Tissue Signature

1
Department of Urology, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany
2
Department of Urology, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China
3
Department of Urology, Sana Medical Center Offenbach, 63069 Offenbach am Main, Germany
4
Berlin Institute for Urologic Research, 10115 Berlin, Germany
5
Institute of Pathology, Hospital Leverkusen, 51375 Leverkusen, Germany
6
Institute of Pathology, University of Rostock, 18055 Rostock, Germany
7
Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Cancer Research Program, 13125 Berlin, Germany
*
Author to whom correspondence should be addressed.
These authors share senior authorship.
Cancers 2019, 11(10), 1603; https://doi.org/10.3390/cancers11101603
Received: 11 October 2019 / Accepted: 17 October 2019 / Published: 21 October 2019
(This article belongs to the Special Issue Prostate Cancer: Past, Present, and Future)
Within five to ten years after radical prostatectomy (RP), approximately 15–34% of prostate cancer (PCa) patients experience biochemical recurrence (BCR), which is defined as recurrence of serum levels of prostate-specific antigen >0.2 µg/L, indicating probable cancer recurrence. Models using clinicopathological variables for predicting this risk for patients lack accuracy. There is hope that new molecular biomarkers, like microRNAs (miRNAs), could be potential candidates to improve risk prediction. Therefore, we evaluated the BCR prognostic capability of 20 miRNAs, which were selected by a systematic literature review. MiRNA expressions were measured in formalin-fixed, paraffin-embedded (FFPE) tissue RP samples of 206 PCa patients by RT-qPCR. Univariate and multivariate Cox regression analyses were performed, to assess the independent prognostic potential of miRNAs. Internal validation was performed, using bootstrapping and the split-sample method. Five miRNAs (miR-30c-5p/31-5p/141-3p/148a-3p/miR-221-3p) were finally validated as independent prognostic biomarkers. Their prognostic ability and accuracy were evaluated using C-statistics of the obtained prognostic indices in the Cox regression, time-dependent receiver-operating characteristics, and decision curve analyses. Models of miRNAs, combined with relevant clinicopathological factors, were built. The five-miRNA-panel outperformed clinically established BCR scoring systems, while their combination significantly improved predictive power, based on clinicopathological factors alone. We conclude that this miRNA-based-predictor panel will be worth to be including in future studies. View Full-Text
Keywords: microRNAs; prostate cancer; radical prostatectomy; tissue-based biomarkers; prognostic biomarkers; biochemical recurrence; prediction accuracy; predictive models microRNAs; prostate cancer; radical prostatectomy; tissue-based biomarkers; prognostic biomarkers; biochemical recurrence; prediction accuracy; predictive models
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Zhao, Z.; Weickmann, S.; Jung, M.; Lein, M.; Kilic, E.; Stephan, C.; Erbersdobler, A.; Fendler, A.; Jung, K. A Novel Predictor Tool of Biochemical Recurrence after Radical Prostatectomy Based on a Five-MicroRNA Tissue Signature. Cancers 2019, 11, 1603.

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