Abstract
PURPOSE: Two methods are used to identify sarcopenia by calculating skeletal muscle area on computed tomography: the skeletal muscle index (SMI) and the psoas muscle index (PMI). Programmed death (PD)-1 inhibitors are helpful in treating metastatic renal cell carcinoma (mRCC). However, there remains insufficient information regarding a clear and easy-to-use biomarker for predicting the response to PD-1 inhibitors in patients with mRCC. Therefore, we investigated the influence of sarcopenia on clinical outcomes in patients with mRCC undergoing treatment with nivolumab. MATERIALS AND METHODS: This study evaluated 96 patients with RCC who received nivolumab. The SMI and PMI were calculated for each patient and normalized for stature by use of the following formulas: SMI (cm²/m²)=([skeletal muscle cross-sectional area at the level of L3]/[height]²) and PMI (cm²/m²) = ([left-right sum of the psoas muscle areas at the level of L3]/[height]²). The relationship of the clinical variables with progression-free survival and overall survival (OS) was examined using a Cox proportional hazards model. RESULTS: According to the SMI-based definition of sarcopenia, 74.0% of patients had sarcopenia. However, according to the PMI-based definition of sarcopenia, only 34.3% of patients were diagnosed with sarcopenia. Multivariate analysis identified sarcopenia based on PMI (hazard ratio [HR], 3.85; 95% confidence interval [CI], 2.04-7.26; p<0.001) and International Metastatic RCC Database Consortium poor risk status (HR, 1.90; 95% CI, 1.03-3.50; p=0.041) as significant and independent prognostic factors of OS. CONCLUSIONS: PMI-based sarcopenia is a significant prognostic factor for OS in patients with RCC who receive nivolumab therapy.