Ficarra Vincenzo, Novara Giacomo, Galfano Antonio, Brunelli Matteo, Cavalleri Stefano, Martignoni Guido, Artibani Walter
Department of Oncological and Surgical Sciences, Urology Clinic, University of Padova, Padova, Italy.
BJU Int. 2009 Jan;103(2):165-70. doi: 10.1111/j.1464-410X.2008.07901.x. Epub 2008 Sep 8.
To compare the prognostic accuracy of the two most used integrated staging systems to predict the outcome of patients with clear cell renal cell carcinoma (RCC).
We retrospectively evaluated the clinical and pathological data of 388 patients surgically treated for clear cell RCC between 1986 and 2000. The pathological slides of all specimens were reviewed by a pathologist unaware of patient outcome. All patients were classified according to the 'Stage, Size, Grade and Necrosis' (SSIGN) score and University of California Los Angeles Integrated Staging System (UISS) model, and the predictive accuracy of the two models was evaluated using receiver operating characteristics (ROC) curves.
The median follow-up was 56 months; the 10-year cancer-specific survival (CSS) probabilities according to the SSIGN score were 96% in the '0-2' category, 78% in the '3-4', 43% in the '5-6', 25.8% in the '7-9' and 0% in the '> or =10' group (P < 0.001). According to the UISS, in nonmetastatic patients the 10-year CSS probabilities were 100% in low, 73% in intermediate and 62% in high-risk groups; in metastatic patients the respective CSS probabilities were 37%, 33% and 12.5% (P < 0.001). The area under the ROC curve (AUC) was 0.870 for the SSIGN score and 0.832 for the UISS. Including only nonmetastatic patients in the analysis, the AUC was 0.830 for the SSIGN score and 0.760 for the UISS model.
Our study shows for the first time that the SSIGN score offers a better stratification of clear cell RCC than the UISS model. These data should be considered in the design of future randomized controlled trials.
比较两种最常用的综合分期系统预测透明细胞肾细胞癌(RCC)患者预后的准确性。
我们回顾性评估了1986年至2000年间接受手术治疗的388例透明细胞RCC患者的临床和病理数据。所有标本的病理切片由一位对患者预后不知情的病理学家进行复查。所有患者均根据“分期、大小、分级和坏死”(SSIGN)评分及加利福尼亚大学洛杉矶分校综合分期系统(UISS)模型进行分类,并使用受试者工作特征(ROC)曲线评估这两种模型的预测准确性。
中位随访时间为56个月;根据SSIGN评分,“0 - 2”组10年癌症特异性生存率(CSS)概率为96%,“3 - 4”组为78%,“5 - 6”组为43%,“7 - 9”组为25.8%,“≥10”组为0%(P < 0.001)。根据UISS,在非转移性患者中,低危组10年CSS概率为100%,中危组为73%,高危组为62%;在转移性患者中,相应的CSS概率分别为37%、33%和12.5%(P < 0.001)。SSIGN评分的ROC曲线下面积(AUC)为0.870,UISS为0.832。仅纳入非转移性患者进行分析时,SSIGN评分的AUC为0.830,UISS模型为0.760。
我们的研究首次表明,SSIGN评分对透明细胞RCC的分层优于UISS模型。在未来随机对照试验的设计中应考虑这些数据。