%AAlhasan, Ali%AAlhasan, Ali%AScott, Alexander%AScott, Alexander%AWu, Jia%AWu, Jia%AFeng, Gang%AFeng, Gang%AMeeks, Joshua%AMeeks, Joshua%AThaxton, C.%AThaxton, C.%AMirkin, Chad%AMirkin, Chad%BJournal Name: Proceedings of the National Academy of Sciences; Journal Volume: 113; Journal Issue: 38; Related Information: CHORUS Timestamp: 2019-12-11 14:13:11 %D2016%IProceedings of the National Academy of Sciences %JJournal Name: Proceedings of the National Academy of Sciences; Journal Volume: 113; Journal Issue: 38; Related Information: CHORUS Timestamp: 2019-12-11 14:13:11 %K %MOSTI ID: 10019114 %PMedium: X %TCirculating microRNA signature for the diagnosis of very high-risk prostate cancer %X

We report the identification of a molecular signature using the Scano-miR profiling platform based on the differential expression of circulating microRNAs (miRNA, miR) in serum samples specific to patients with very high-risk (VHR) prostate cancer (PCa). Five miRNA PCa biomarkers (miR-200c, miR-605, miR-135a*, miR-433, and miR-106a) were identified as useful for differentiating indolent and aggressive forms of PCa. All patients with VHR PCa in the study had elevated serum levels of miR-200c. Circulating miR-433, which was differentially expressed in patients with VHR versus low-risk (LR) forms of PCa, was not detectable by quantitative real-time PCR in samples from healthy volunteers. In blind studies, the five miRNA PCa biomarkers were able to differentiate patients with VHR PCas from those with LR forms as well as healthy individuals with at least 89% accuracy. Biological pathway analysis showed the predictive capability of these miRNA biomarkers for the diagnosis and prognosis of VHR aggressive PCa.

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