Development of novel ACN (albumin, C-reactive protein and neutrophil-to-lymphocyte ratio) prognostication model for patients with metastatic renal cell carcinoma receiving first-line molecular-targeted therapy.

ABSTRACT

PURPOSE: The objective of this study was to develop a novel prognostication model in patients with treatment-naïve metastatic renal cell carcinoma (mRCC). METHODS: This study included 325 consecutive mRCC patients receiving first-line molecular-targeted therapy at 4 institutions. Potential parameters associated with overall survival (OS) in these patients were investigated to develop a novel stratification model. RESULTS: Median OS of the 325 patients was 38 months. A multivariable analysis of several factors identified independent predictors associated with unfavorable OS as follows no previous nephrectomy, Karnofsky performance status <80%, albumin (Alb) ≤3.5 g/dl, C-reactive protein (CRP) >0.5 mg/dl and neutrophil-to-lymphocyte ratio (NLR) >3. Of these 5 independent OS predictors, 3 numeric factors were used to develop the ACN (Alb, CRP, and NLR) model by dividing patients into 3 groups according to the positive numbers of these 3 numeric risk factors. Median OS durations were 63, 37, and 11 months in the favorable (n = 105, 32.3%, without risk factors), intermediate (n = 88, 27.1%, with a single risk factor), and poor (n = 132, 40.6%, with multiple risk factors) risk groups, respectively. The ACN model as a prognostication tool was shown to be superior to the Memorial Sloan Kettering Cancer Center (MSKCC) and the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) models by both the concordance index and decision curve analysis. CONCLUSIONS: The ACN model could stratify the prognostic risk of mRCC patients receiving first-line targeted therapy more accurately than the MSKCC and IMDC models.