...
首页> 外文期刊>Frontiers in Cell and Developmental Biology >Establishing a Urine-Based Biomarker Assay for Prostate Cancer Risk Stratification
【24h】

Establishing a Urine-Based Biomarker Assay for Prostate Cancer Risk Stratification

机译:建立基于尿基的生物标志物测定,用于前列腺癌风险分层

获取原文
   

获取外文期刊封面封底 >>

       

摘要

One of the major features of prostate cancer (PCa) is its heterogeneity, which often leads to uncertainty in cancer diagnostics and un-necessary biopsies as well as overtreatment of the disease. Novel non-invasive tests using multiple biomarkers that can identify clinically high risk cancer patients for immediate treatment and monitor patients with low risk cancer for active surveillance are urgently needed to improve treatment decision and cancer management. In this study, we identified fourteen promising biomarkers associated with PCa and tested the performance of these biomarkers on tissue specimens and pre-biopsy urinary sediments. These biomarkers showed differential gene expression in higher and lower risk PCa. The 14-Gene Panel urine test (PMP22, GOLM1, LMTK2, EZH2, GSTP1, PCA3, VEGFA, CST3, PTEN, PIP5K1A, CDK1, TMPRSS2, ANXA3, and CCND1) was assessed in two independent prospective and retrospective urine study cohorts and showed high diagnostic accuracy to identify higher risk PCa patients with the need for treatment and lower risk patients for surveillance. The AUC was 0.897 (95% CI 0.939-0.855) in the prospective cohort (n=202) and 0.899 (95% CI 0.964-0.834) in the retrospective cohort (n=97). In contrast, serum PSA and Gleason score had much lower accuracy in the prospective cohort (AUC was 0.821 (95% CI 0.879-0.763) for PSA and 0.860 (95% CI 0.910-0.810) for Gleason score). In addition, the 14-Gene Panel was more accurate at risk stratification in a subgroup of patients with Gleason score 6 and 7 in the prospective cohort (n=132) with AUC of 0.923 (95% CI 0.968-0.878) than PSA (AUC of 0.773 (95% CI 0.852-0.794)) and Gleason score (AUC of 0.776 (95% CI 0.854-0.698)). Furthermore, the 14-Gene Panel was found to be able to accurately distinguish PCa from benign prostate with AUC of 0.854 (95% CI 0.892-0.816) in a prospective urine study cohort (n=393), while PSA had lower accuracy with AUC of 0.652 (95% CI 0.706-0.598). Taken together, the 14-Gene Panel urine test represents a promising non-invasive tool for detection of higher risk PCa to aid treatment decision and lower risk PCa for active surveillance.
机译:前列腺癌(PCA)的主要特征之一是其异质性,这常常导致癌症诊断和无需活检的不确定性以及疾病的过度处理。使用多种生物标志物的新型非侵入性试验,可以识别临床高危癌症患者立即治疗和监测患有低风险癌的患者进行积极监测,以改善治疗决策和癌症管理。在这项研究中,我们确定了与PCA相关的十四个有前途的生物标志物,并测试了这些生物标志物对组织标本和预活检尿沉渣的性能。这些生物标志物在较高和低风险PCA中显示出差异基因表达。在两个独立的前瞻性和回顾性尿液研究队列中评估了14-基因面板尿液试验(PMP22,GOLM1,LMTK2,EZH2,GSTP1,PCA3,VEGFA,CST3,PTEN,PIP5K1A,CDK1,TMPRSS2,ANXA3和CCND1)并显示出来诊断准确性高,以识别更高的风险PCA患者,需要治疗和降低风险患者进行监测。 AUC在预期队列(n = 202)和0.899(95%CI 0.964-0.834)中为0.897(95%CI 0.939-0.855),在回顾队列中(n = 97)。相比之下,血清PSA和GLEASES评分在预期队列(AUC为0.821(95%CI 0.879-0.763)的PSA和0.860(95%CI 0.910-0.0.810)中的精度下降得多。此外,14-基因面板在预期队列(N = 132)中的Gleason评分6和7的患者患者的亚组中更准确,患有0.923的AUC(95%CI 0.968-0.878)比PSA(AUC 0.773(95%CI 0.852-0.794))和Gleason评分(Auc为0.776(95%CI 0.854-0.698))。此外,发现14个基因组能够在前瞻性尿液研究队列(n = 393)中,将PCA从良性前列腺与0.854(95%CI 0.892-0.816)中的PCA分开。 0.652(95%CI 0.706-0.598)。在一起,14-基因面板尿液试验代表有前途的非侵入性工具,用于检测更高的风险PCA,以帮助治疗决策和降低风险PCA进行积极监测。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号