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Seminal plasma microRNAs improve diagnosis/prognosis of prostate cancer in men with moderately altered prostate-specific antigen

机译:精浆微RNA改善患有前列腺特异性抗原中度改变的男性的前列腺癌的诊断/预后

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摘要

There is an urgent need for accurate non-invasive biomarkers for prostate cancer (PCa) diagnosis and disease risk stratification. Previous data suggests that total seminal plasma (SP) represents a source of miRNAs for screening. We have evaluated a panel of eight PCa-associated miRNAs for their potential use as PCa biomarkers in SP by analyzing their levels using RT-qPCR. Multivariate logistic regression modelling and clinical risk assessment were performed for those SP miRNAs statistically altered between PCa and non-PCa (HCt and/or BPH) groups. Our results provide evidence that altered miRNA expression in PCa tissue can also be detected in total SP. We obtained a clinically useful SP miRNA-based combined model (PSA+miR-142-3p+miR-223-3p+miR-93-5p), which improves PCa specificity of the PSA test, for, firstly, predicting the presence of malignant tumors in a sample from the total population and secondly, and more interestingly for clinicians, for predicting PCa in samples from the positive PSA screening test (PSA>4 ng/ml). Additionally, [PSA+miR-30d-5p+miR-93-5p] and [PSA+miR-30d-5p] models have been shown to be useful for predicting the disease aggressiveness with diagnostic accuracy. In conclusion, our results provide evidence that miRNAs in total SP represent a useful target for evaluation for PCa, which technically simplifies the future use of semen miRNA-based models as non-invasive biomarkers to increase the efficiency of PCa diagnosis and prognosis.
机译:迫切需要用于前列腺癌(PCa)诊断和疾病风险分层的准确的非侵入性生物标志物。先前的数据表明,总精浆(SP)代表用于筛选的miRNA来源。我们通过使用RT-qPCR分析它们的水平,评估了一组八种与PCa相关的miRNA在SP中作为PCa生物标志物的潜在用途。对PCa和非PCa(HCt和/或BPH)组之间统计上改变的SP miRNA进行了多因素logistic回归建模和临床风险评估。我们的结果提供了证据,也可以在总SP中检测到PCa组织中miRNA表达的改变。我们获得了临床上有用的基于SP miRNA的组合模型(PSA + miR-142-3p + miR-223-3p + miR-93-5p),该模型可提高PSA测试的PCa特异性,以便首先预测是否存在总人口样本中的恶性肿瘤,其次,对于临床医生来说更有趣,用于通过阳性PSA筛查测试(PSA> 4 ng / ml)预测样本中的PCa。另外,已显示[PSA + miR-30d-5p + miR-93-5p]和[PSA + miR-30d-5p]模型可用于以诊断准确性预测疾病的侵袭性。总之,我们的结果提供了证据,即总SP中的miRNA代表了PCa评估的有用目标,从技术上简化了未来基于精液miRNA的模型作为非侵入性生物标记物的使用,以提高PCa诊断和预后的效率。

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