Babaian Kara N
Department of Urology, University of California, Irvine, Orange, CA, USA.
Asian J Androl. 2015 Nov-Dec;17(6):885-7; discussion 886-7. doi: 10.4103/1008-682X.151396.
There are no agreed upon guidelines for placing patients on active surveillance (AS). Therefore, there are no absolute criteria for taking patients off AS and when to recommend treatment. The criteria used to define progression are currently based on prostate specific antigen (PSA) kinetics, biopsy reclassification, and change in clinical stage. Multiple studies have evaluated predictors of progression such as PSA, PSA density (PSAD), prostate volume, core positivity, and visible lesion on multiparametric magnetic resonance imaging (mpMRI). Furthermore, published nomograms designed to predict indolent prostate cancer do not perform well when used to predict progression. Newer biomarkers have also not performed well to predict progression. These findings highlight that clinical and pathologic variables are not enough to identify patients that will progress while on AS. In the future, with the use of imaging, biomarkers, and gene expression assays, we should be better equipped to diagnose/stage prostate cancer and to distinguish between insignificant and significant disease.
对于将患者置于主动监测(AS)之下,目前尚无达成共识的指南。因此,对于将患者从主动监测中移除以及何时推荐治疗,不存在绝对标准。目前用于定义疾病进展的标准基于前列腺特异性抗原(PSA)动力学、活检重新分类以及临床分期的变化。多项研究评估了疾病进展的预测因素,如PSA、PSA密度(PSAD)、前列腺体积、穿刺阳性率以及多参数磁共振成像(mpMRI)上的可见病变。此外,用于预测惰性前列腺癌的已发表列线图在用于预测疾病进展时效果不佳。新型生物标志物在预测疾病进展方面也表现不佳。这些发现表明,临床和病理变量不足以识别在主动监测期间会出现疾病进展的患者。未来,通过使用影像学、生物标志物和基因表达检测,我们应该能够更好地诊断/分期前列腺癌,并区分意义不显著和意义显著的疾病。