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Evaluation of MicroRNAs as Non-Invasive Diagnostic Markers in Urinary Cells from Patients with Suspected Prostate Cancer

机译:评估MicroRNA作为来自疑似前列腺癌患者的泌尿细胞中的非侵入性诊断标志物

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摘要

Currently used tumor markers for early diagnosis of prostate cancer (PCa) are often lacking sufficient specificity and sensitivity. Therefore, the diagnostic potential of selected microRNAs in comparison to serum PSA levels and PSA density (PSAD) was explored. A panel of 12 PCa-associated microRNAs was quantified by qPCR in urinary sediments from 50 patients with suspected PCa undergoing prostate biopsy, whereupon PCa was detected in 26 patients. Receiver operating characteristic (ROC) curve analyses revealed a potential for non-invasive urine-based PCa detection for miR-16 (AUC = 0.744, = 0.012; accuracy = 76%) and miR-195 (AUC = 0.729, = 0.017; accuracy = 70%). While serum PSA showed an insufficient diagnostic value (AUC = 0.564, = 0.656; accuracy = 50%) in the present cohort, PSAD displayed an adequate diagnostic performance (AUC = 0.708, = 0.031; accuracy = 70%). Noteworthy, the combination of PSAD with the best candidates miR-16 and miR-195 either individually or simultaneously improved the diagnostic power (AUC = 0.801–0.849, < 0.05; accuracy = 76–90%). In the sub-group of patients with PSA ≤ 10 ng/mL ( = 34), an inadequate diagnostic power of PSAD alone (AUC = 0.595, = 0.524; accuracy = 68%) was markedly surpassed by miR-16 and miR-195 individually as well as by their combination with PSAD (AUC = 0.772–0.882, < 0.05; accuracy = 74–85%). These findings further highlight the potential of urinary microRNAs as molecular markers with high clinical performance. Overall, these results need to be validated in a larger patient cohort.
机译:目前使用的肿瘤标志物用于早期诊断前列腺癌(PCA)通常缺乏足够的特异性和敏感性。因此,探讨了与血清PSA水平和PSA密度(PSA)相比所选MicroRNA的诊断潜力。通过50名疑似PCA患者进行前列腺活检的50例尿沉积物量化了12个PCA相关的微小RORNAS,从50例疑似PCA患者中量化。在26例患者中检测到PCA。接收器操作特征(ROC)曲线分析显示了MIR-16的非侵入性尿基PCA检测的可能性(AUC = 0.744,= 0.012;精度= 76%)和MIR-195(AUC = 0.729,= 0.017;准确性= 70%)。虽然血清PSA显示出诊断值不足(AUC = 0.564,= 0.656;精度= 50%),PSAD显示了足够的诊断性能(AUC = 0.708,= 0.031;精度= 70%)。值得注意的是,PSAD与最佳候选者MIR-16和MIR-195的组合单独或同时改善诊断功率(AUC = 0.801-0.849,<0.05;精度= 76-90%)。在PSA≤10ng/ ml(= 34)的亚组中,单独的PSAD诊断功率不足(AUC = 0.595,= 0.524;精度= 68%)被MIR-16和MIR-195显着超越单独的以及它们与PSAD的组合(AUC = 0.772-0.882,<0.05;精度= 74-85%)。这些发现进一步突出了尿瘤的潜力作为具有高临床性能的分子标记。总体而言,这些结果需要在更大的患者队列中验证。

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