Alhasan Ali H, Scott Alexander W, Wu Jia J, Feng Gang, Meeks Joshua J, Thaxton C Shad, Mirkin Chad A
Interdepartmental Biological Sciences Program, Northwestern University, Evanston, IL 60208; International Institute for Nanotechnology, Northwestern University, Evanston, IL 60208;
International Institute for Nanotechnology, Northwestern University, Evanston, IL 60208; Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208;
Proc Natl Acad Sci U S A. 2016 Sep 20;113(38):10655-60. doi: 10.1073/pnas.1611596113. Epub 2016 Sep 6.
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.
我们报告了一项基于超高危（VHR）前列腺癌（PCa）患者血清样本中循环微小RNA（miRNA，miR）差异表达，利用Scano-miR分析平台鉴定分子特征的研究。五种miRNA PCa生物标志物（miR-200c、miR-605、miR-135a*、miR-433和miR-106a）被确定可用于区分惰性和侵袭性PCa。该研究中所有VHR PCa患者的血清miR-200c水平均升高。在VHR与低危（LR）PCa患者中差异表达的循环miR-433，在健康志愿者样本中通过定量实时PCR检测不到。在盲法研究中，这五种miRNA PCa生物标志物能够以至少89%的准确率区分VHR PCa患者与LR PCa患者以及健康个体。生物通路分析显示了这些miRNA生物标志物对VHR侵袭性PCa诊断和预后的预测能力。
