GRC No 5 ONCOTYPE-URO, Institut Universitaire de Cancérologie, Sorbonne Université, 75020, Paris, France.
Academic Department of Urology, CHU Reims, 51000, Reims, France.
World J Urol. 2018 Sep;36(9):1495-1500. doi: 10.1007/s00345-018-2290-y. Epub 2018 Apr 20.
Previous studies of the cell cycle progression (CCP) score in surgical specimens of prostate cancer (PCa) in patients treated by radical prostatectomy (RP) demonstrated significant association with time to biochemical recurrence (BCR). In this study, we compared the ability of the CCP score and the expression of PTEN or Ki-67 to predict BCR in a cohort of patients treated by RP. Finally, we constructed the best predictive model for BCR, incorporating biomarkers and relevant clinical variables.
The study population consisted of 652 PCa patients enrolled in a retrospective cohort and who had RP surgery in French urological centers from 2000 to 2007.
Among the 652 patients with CCP scores and complete clinical data, BCR events occurred in 41%, and the median time from surgery to the last follow-up among BCR-free patients was 72 months. In univariate Cox analysis, the continuous CCP score and positive Ki-67 predicted recurrence with a HR of 1.44 (95% CI 1.17-1.75; p = 5.3 × 10) and 1.89 (95% CI 1.38-2.57; p = 1.6 × 10), respectively. In contrast, PTEN expression was not associated with BCR risk. Of the three biomarkers, only the CCP score remained significantly associated in a multivariable Cox model (p = 0.026). The best model incorporated CAPRA-S and CCP scores as predictors, with HRs of 1.32 and 1.24, respectively.
The CCP score was superior to the two IHC markers (PTEN and Ki-67) for predicting outcome in PCa after RP.
先前对接受根治性前列腺切除术（RP）治疗的前列腺癌（PCa）患者手术标本中细胞周期进程（CCP）评分的研究表明，其与生化复发（BCR）时间有显著相关性。在本研究中，我们比较了 CCP 评分和 PTEN 或 Ki-67 表达在接受 RP 治疗的患者队列中预测 BCR 的能力。最后，我们构建了包含生物标志物和相关临床变量的最佳 BCR 预测模型。
研究人群由 2000 年至 2007 年在法国泌尿外科中心接受 RP 手术的 652 例 PCa 患者组成，他们参加了一个回顾性队列研究。
在具有 CCP 评分和完整临床数据的 652 例患者中，有 41%发生了 BCR 事件，无 BCR 患者的手术至最后随访时间中位数为 72 个月。在单因素 Cox 分析中，连续 CCP 评分和阳性 Ki-67 预测复发的 HR 分别为 1.44（95%CI 1.17-1.75；p=5.3×10）和 1.89（95%CI 1.38-2.57；p=1.6×10）。相比之下，PTEN 表达与 BCR 风险无关。在这三个生物标志物中，只有 CCP 评分在多变量 Cox 模型中仍与 BCR 显著相关（p=0.026）。最佳模型纳入了 CAPRA-S 和 CCP 评分作为预测因子，其 HR 分别为 1.32 和 1.24。
CCP 评分在预测 RP 后 PCa 的结局方面优于两种 IHC 标志物（PTEN 和 Ki-67）。
