验证基于尿液的蛋白质组学检验,预测具有临床意义的前列腺癌:与核磁共振成像途径互补

Maria Frantzi, Ana Cristina Morillo, Guillermo Lendinez, Ana Blanca-Pedregosa, Daniel Lopez Ruiz, Jose Parada, Isabel Heidegger, Zoran Culig, Emmanouil Mavrogeorgis, Antonio Lopez Beltran, Marina Mora-Ortiz, Julia Carrasco-Valiente, Harald Mischak, Rafael A Medina, Juan Pablo Campos Hernandez, Enrique Gómez Gómez
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引用次数: 0

摘要

目的 前列腺癌(PCa)是男性最常诊断出的癌症。准确预测具有临床意义的前列腺癌(csPCa)是临床的主要需求之一。此前,我们利用毛细管电泳-质谱(CE-MS)技术开发了基于蛋白质组学的 19 个生物标记物模型(19-BM),并在 1000 名有 PCa 风险的患者中进行了验证。在这里,我们的目标是在一个多中心前瞻性队列中验证 19-BM 的有效性,该队列包含 101 名未进行活检的患者,采用的是当前的诊断方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validation of a urine- based proteomics test to predict clinically significant prostate cancer: complementing MRI pathway
Purpose Prostate cancer (PCa) is the most frequently diagnosed cancer in men. One major clinical need is to accurately predict clinically significant PCa (csPCa). A proteomics based 19-biomarker model (19-BM) was previously developed using Capillary Electrophoresis-Mass Spectrometry (CE-MS) and validated in 1000 patients at risk for PCa. Here, our objective was to validate 19-BM in a multicentre prospective cohort of 101 biopsy-naive patients using current diagnostic pathways.
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