Schmeusser Benjamin N, Manalo Tad A, Liu Yuan, Shah Yash B, Ali Adil, Armas-Phan Manuel, Patil Dattatraya H, Nabavizadeh Reza, Ogan Kenneth, Master Viraj A
Department of Urology, Emory University School of Medicine, Atlanta, GA, USA.
Department of Urology, University of Colorado School of Medicine, Denver, CO, USA.
J Kidney Cancer VHL. 2023 Mar 21;10(1):19-25. doi: 10.15586/jkcvhl.v10i1.269. eCollection 2023.
Nephrectomy remains standard treatment for renal cell carcinoma (RCC). The Mayo Adhesive Probability (MAP) score is predictive of adherent perinephric fat and associated surgical complexity, and is determined by assessing perinephric fat and stranding. MAP has additionally predicted progression-free survival (PFS), though primarily reported in stage T1-T2 RCC. Here, we examine MAP's ability to predict overall survival (OS) and PFS in T3-T4 RCC. From our prospectively maintained RCC database, patients that underwent radical nephrectomy (2009-2016) with available abdominal imaging (<90 days preop) and T3/T4 RCC underwent MAP scoring. Survival analyses were conducted with MAP scores as individual (0-5) and dichotomized (0-3 vs 4-5) using Kaplan-Meier method. Multivariable Cox proportional hazard regression models for PFS and OS were built with backward elimination. 141 patients were included. 134 (95%) and 7 (5%) had pT3 and pT4 disease, respectively. 46.1% of patients had an inferior vena cava thrombus. Mean MAP score was 3.22±1.52, with 75 (53%) patients having a score between 0-3 and 66 (47%) having a score of 4-5. Both male gender (p=0.006) and clear cell histology (p=0.012) were associated with increased MAP scores. On Kaplan-Meier and multivariable analysis, no significant associations were identified between MAP and PFS (HR=1.01, 95% CI 0.85-1.20, p=0.93) or OS (HR=1.01, 95% CI 0.84-1.21, p=0.917). In this cohort of patients with locally advanced RCC, high MAP scores were not predictive of worse PFS or OS.
肾切除术仍然是肾细胞癌(RCC)的标准治疗方法。梅奥粘连概率(MAP)评分可预测肾周脂肪粘连及相关手术复杂性,通过评估肾周脂肪和条索状改变来确定。MAP还可预测无进展生存期(PFS),不过主要是在T1 - T2期RCC中报道。在此,我们研究MAP预测T3 - T4期RCC总生存期(OS)和PFS的能力。从我们前瞻性维护的RCC数据库中,选取2009年至2016年接受根治性肾切除术且有可用腹部影像(术前<90天)的T3/T4期RCC患者进行MAP评分。采用Kaplan - Meier方法对MAP评分进行个体分析(0 - 5分)和二分法分析(0 - 3分与4 - 5分)进行生存分析。构建PFS和OS的多变量Cox比例风险回归模型并进行向后剔除。纳入141例患者。分别有134例(95%)和7例(5%)患有pT3和pT