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Novel non-invasive biomarkers that distinguish between benign prostate hyperplasia and prostate cancer

机译:区分良性前列腺增生和前列腺癌的新型非侵入性生物标志物

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Background The objective of this study was to discover and to validate novel noninvasive biomarkers that distinguish between benign prostate hyperplasia (BPH) and localized prostate cancer (PCa), thereby helping to solve the diagnostic dilemma confronting clinicians who treat these patients. Methods Quantitative iTRAQ LC/LC/MS/MS analysis was used to identify proteins that are differentially expressed in the urine of men with BPH compared with those who have localized PCa. These proteins were validated in 173 urine samples from patients diagnosed with BPH (N?=?83) and PCa (N?=?90). Multivariate logistic regression analysis was used to identify the predictive biomarkers. Results Three proteins, β2M, PGA3, and MUC3 were identified by iTRAQ and validated by immunoblot analyses. Univariate analysis demonstrated significant elevations in urinary β2M ( P Conclusions Urinary β2M, PGA3, and MUC3, when analyzed alone or when multiplexed with clinically defined categories of PSA, may be clinically useful in noninvasively resolving the dilemma of effectively discriminating between BPH and localized PCa.
机译:背景技术这项研究的目的是发现并验证区分良性前列腺增生(BPH)和局限性前列腺癌(PCa)的新型非侵入性生物标记,从而帮助解决治疗这些患者的临床医生所面临的诊断难题。方法采用定量iTRAQ LC / LC / MS / MS分析来鉴定与局部PCa相比,BPH男性尿液中差异表达的蛋白质。这些蛋白在173例BPH(N == 83)和PCa(N == 90)患者的尿液样本中得到验证。使用多元逻辑回归分析来确定预测性生物标志物。结果iTRAQ鉴定了3种蛋白质,即β2M,PGA3和MUC3,并通过免疫印迹分析进行了验证。单因素分析显示尿中β2M明显升高(P结论尿中β2M,PGA3和MUC3单独分析或与临床定义的PSA类别结合使用时,在无创解决有效区分BPH和局限性PCa的难题上可能是临床有用的。

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