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用于在尿液样本中检测膀胱癌的多重蛋白质特征。

Multiplex protein signature for the detection of bladder cancer in voided urine samples.

机构信息

Nonagen Bioscience Corp., Orlando, Florida.

出版信息

J Urol. 2013 Dec;190(6):2257-62. doi: 10.1016/j.juro.2013.06.011. Epub 2013 Jun 11.

Abstract

PURPOSE

Accurate urine assays for bladder cancer detection would benefit patients and health care systems. Through extensive genomic and proteomic profiling of urine components we previously identified a panel of 8 biomarkers that can facilitate the detection of bladder cancer in voided urine samples. In this study we confirmed this diagnostic molecular signature in a diverse multicenter cohort.

MATERIALS AND METHODS

We performed a case-control, phase II study in which we analyzed voided urine from 102 subjects with bladder cancer and 206 with varying urological disorders. The urinary concentration of 8 biomarkers (IL-8, MMP-9 and 10, PAI-1, VEGF, ANG, CA9 and APOE) was assessed by enzyme-linked immunosorbent assay. Diagnostic performance of the panel of tested biomarkers was evaluated using ROCs and descriptive statistical values, eg sensitivity and specificity.

RESULTS

Seven of the 8 urine biomarkers were increased in subjects with bladder cancer relative to those without bladder cancer. The 7 biomarkers were assessed in a new model, which had an AUROC of 0.88 (95% CI 0.84-0.93), and 74% sensitivity and 90% specificity. In contrast, the sensitivity of voided urine cytology and the UroVysion® cytogenetic test in this cohort was 39% and 54%, respectively. Study limitations include analysis performed on banked urine samples and the lack of voided urine cytology and cytogenetic test data on controls.

CONCLUSIONS

The study provides further evidence that the reported panel of diagnostic biomarkers can reliably achieve the noninvasive detection of bladder cancer with higher sensitivity than currently available urine based assays.

摘要

目的

准确的膀胱癌检测尿液检测将使患者和医疗保健系统受益。通过对尿液成分进行广泛的基因组和蛋白质组分析,我们之前确定了一个由 8 种生物标志物组成的小组,可帮助检测尿液样本中的膀胱癌。在这项研究中,我们在一个多样化的多中心队列中证实了这一诊断分子特征。

材料与方法

我们进行了一项病例对照的 II 期研究,分析了 102 例膀胱癌患者和 206 例不同泌尿科疾病患者的尿液。通过酶联免疫吸附试验分析 8 种生物标志物(IL-8、MMP-9 和 10、PAI-1、VEGF、ANG、CA9 和 APOE)的尿液浓度。使用 ROC 和描述性统计值(如敏感性和特异性)评估测试生物标志物组合的诊断性能。

结果

与没有膀胱癌的患者相比,膀胱癌患者的 8 种尿液生物标志物中有 7 种标志物升高。对 7 种生物标志物进行了新模型评估,该模型的 AUROC 为 0.88(95%CI 0.84-0.93),灵敏度为 74%,特异性为 90%。相比之下,该队列中尿液细胞学和 UroVysion®细胞遗传学检测的敏感性分别为 39%和 54%。研究局限性包括对银行尿液样本进行分析以及缺乏尿液细胞学和细胞遗传学检测数据的对照组。

结论

该研究进一步证明,所报道的诊断生物标志物组合可以可靠地实现非侵入性膀胱癌检测,其敏感性高于目前可用的尿液检测。

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