Chandrasekar Thenappan, Klaassen Zachary, Goldberg Hanan, Sayyid Rashid K, Kulkarni Girish S, Fleshner Neil E
Department of Surgical Oncology, Division of Urology, University Health Network, University of Toronto, Ontario, Canada.
Oncotarget. 2018 Mar 30;9(24):16731-16743. doi: 10.18632/oncotarget.24675.
To utilize a population-based approach to address the role of adjuvant TT in the management of RCC.
Patients with RCC (2006-2013) in the SEER database were stratified by metastatic disease at the time of diagnosis (cM0/cM1). cM0 patients following surgical excision were stratified into low and high-risk (ASSURE and S-TRAC criteria). Multivariable analyses performed to identify predictors of TT receipt; Fine and Gray competing risks analyses used to identify predictors of cancer-specific mortality (CSM). Subset analyses included patients with clear cell histology and high-risk cM0. Survival analyses were used to evaluate overall survival (OS) and cancer-specific survival (CSS) for all cohorts, stratified on TT receipt.
79,926 patients included (71,682 cM0, 8,244 cM1); median follow-up for the entire cohort was 40.1 months. Of 31,453 patients with histologic grade data, 18,328 and 13,125 were low- and high-risk cM0, respectively. TT utilization in cM1 patients peaked at 50.6% and was associated with reduced CSM (HR 0.73, p<0.01). In contrast, TT utilization (presumed salvage therapy) never exceeded 2.2% in the entire cM0 cohort and 3.5% in the high-risk cM0 cohort. On competing risks analysis, TT receipt was associated with increased CSM in all cohorts.
When compared to the cM1 patients, TT receipt in cM0 patients does not provide any cancer-specific survival benefit, even in the small percentage of patients that eventually progress to metastatic disease. Competing risks mortality further limit any potential benefit in this population. Based on current evidence, adjuvant TT cannot be recommended for RCC patients.
采用基于人群的方法来探讨辅助性酪氨酸激酶抑制剂(TT)在肾细胞癌(RCC)治疗中的作用。
监测、流行病学与最终结果(SEER)数据库中2006 - 2013年的RCC患者,根据诊断时的转移疾病情况(cM0/cM1)进行分层。手术切除后的cM0患者根据低风险和高风险(ASSURE和S - TRAC标准)进行分层。进行多变量分析以确定接受TT治疗的预测因素;采用Fine和Gray竞争风险分析来确定癌症特异性死亡率(CSM)的预测因素。亚组分析包括具有透明细胞组织学和高风险cM0的患者。生存分析用于评估所有队列的总生存期(OS)和癌症特异性生存期(CSS),并根据TT接受情况进行分层。
共纳入79926例患者(71682例cM0,8244例cM1);整个队列的中位随访时间为40.1个月。在31453例有组织学分级数据的患者中,分别有18328例和13125例为低风险和高风险cM0。cM1患者中TT的使用率峰值为50.6%,且与CSM降低相关(风险比[HR] 0.73,p<0.01)。相比之下,整个cM0队列中TT的使用率(假定为挽救性治疗)从未超过2.2%,高风险cM0队列中为3.5%。在竞争风险分析中,所有队列中接受TT治疗均与CSM增加相关。
与cM1患者相比,cM0患者接受TT治疗并未带来任何癌症特异性生存获益,即使是在最终进展为转移性疾病的小部分患者中也是如此。竞争风险死亡率进一步限制了该人群中的任何潜在获益。基于目前的证据,不推荐对RCC患者使用辅助性TT。