Ghatalia Pooja, Rathmell W Kimryn
Department of Medical Oncology, Fox Chase Cancer Center, Philadelphia, PA.
Department of Medicine, Division of Hematology and Oncology, Vanderbilt-Ingram Cancer Center, Nashville, TN.
Kidney Cancer. 2018;2(1):23-29. doi: 10.3233/KCA-170021. Epub 2018 Mar 30.
The standard of care of patients with localized clear cell RCC (ccRCC) is observation after nephrectomy. However, a third of these patients have local or distant recurrence. Along with basic clinical and pathologic variables like stage, necrosis and grade, robust molecular based prognostic markers are needed that could help better predict groups of patients who will most benefit from such adjuvant treatment approaches. ccA/ccB classification was developed to classify ccRCC patients into high and low risk based on gene expression patterns. ClearCode 34 is a genetic signature that was developed from the ccA/ccB classification to predict recurrence in localized ccRCC patients. This signature has been validated in several patient cohorts and is ready for future testing in a variety of clinical scenarios. This review will evaluate the molecular signature ClearCode34, discuss its role in predicting recurrence and consider the rational application of this example of a molecular biomarker in the management of ccRCC.
局限性透明细胞肾细胞癌(ccRCC)患者的标准治疗方案是肾切除术后进行观察。然而,这些患者中有三分之一会出现局部或远处复发。除了诸如分期、坏死和分级等基本临床和病理变量外,还需要强大的基于分子的预后标志物,以帮助更好地预测哪些患者群体将从这种辅助治疗方法中获益最大。ccA/ccB分类法旨在根据基因表达模式将ccRCC患者分为高风险和低风险。ClearCode 34是一种基于ccA/ccB分类法开发的基因特征,用于预测局限性ccRCC患者的复发情况。该特征已在多个患者队列中得到验证,并准备好在各种临床场景中进行进一步测试。本综述将评估分子特征ClearCode34,讨论其在预测复发中的作用,并考虑这种分子生物标志物实例在ccRCC管理中的合理应用。