Department of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Department of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Urol Oncol. 2021 Dec;39(12):836.e11-836.e17. doi: 10.1016/j.urolonc.2021.08.015. Epub 2021 Sep 17.
This study aims to evaluate the utility of the scoring system of the Registry for Metastatic Renal Cell Carcinoma (REMARCC) model on the overall survival (OS) of patients undergoing cytoreductive nephrectomy (CN).
A total of 278 patients with primary metastatic renal cell carcinoma (mRCC) treated with first-line tyrosine kinase inhibitors (TKIs) between January 2008 and November 2019 were identified. The c-index and net benefit between the REMARCC score were compared with the International mRCC Database Consortium (IMDC) score in patients with CN (CN group, n = 146). The effect of the REMARCC score on OS was compared between the CN group and patients without CN (non-CN group, n = 132) using Cox regression analysis under the propensity score-based inverse probability of treatment weighting (IPTW) method to adjust for group imbalances.
Of the 146 patients with CN, the c-index of the REMARCC model (0.60) was higher than the IMDC model (0.54). The decision curve analysis showed the advantage of REMARCC model predicting OS compared with the IMDC model. OS was significantly longer in the REMARCC low-score (0-2) than that in the high-score (3-6) among the patients with CN. IPTW-adjusted Cox regression analyses showed that OS was significantly longer in the CN group than that in the non-CN group among the patients with REMARCC low-score but was not significantly different between the groups among the patients with REMARCC high-score.
The REMARCC score may be active for selecting the CN candidate in patients treated with TKIs.
本研究旨在评估转移性肾细胞癌(mRCC)登记处(REMARCC)评分系统对接受细胞减灭性肾切除术(CN)的患者总生存期(OS)的效用。
共确定了 278 例于 2008 年 1 月至 2019 年 11 月期间接受一线酪氨酸激酶抑制剂(TKI)治疗的原发性 mRCC 患者。在接受 CN(CN 组,n=146)的患者中,比较了 REMARCC 评分与国际 mRCC 数据库联盟(IMDC)评分之间的 c 指数和净效益。使用倾向评分逆概率治疗加权(IPTW)法对 Cox 回归分析进行调整,以调整组间不平衡,比较 REMARCC 评分在 CN 组与无 CN 患者(非 CN 组,n=132)之间对 OS 的影响。
在 146 例接受 CN 的患者中,RE-MARCC 模型的 c 指数(0.60)高于 IMDC 模型(0.54)。决策曲线分析表明,RE-MARCC 模型预测 OS 的优势优于 IMDC 模型。在接受 CN 的患者中,RE-MARCC 低评分(0-2)的 OS 明显长于高评分(3-6)。IPTW 调整的 Cox 回归分析表明,在 REMARCC 低评分的患者中,CN 组的 OS 明显长于非 CN 组,但在 REMARCC 高评分的患者中,两组之间的 OS 无显著差异。
在接受 TKI 治疗的患者中,RE-MARCC 评分可能有助于选择 CN 候选者。