Pretreatment Neutrophil-to-Lymphocyte Ratio Predicts Survival and Liver Toxicity in Patients With Hepatocellular Carcinoma Treated With Stereotactic Ablative Radiation Therapy

Purpose: The objective of this study was to determine whether pretreatment neutrophil-to-lymphocyte ratio (NLR) could predict survival outcomes and liver toxicity in hepatocellular carcinoma (HCC) patients treated with stereotactic ablative radiation therapy (SABR). Methods and Materials: In this retrospective study we collected pretreatment NLR of HCC patients treated with SABR between December 2007 and August 2018 and determined its association with overall survival (OS), progression-free survival, and radiation-related liver toxicity defined as an increase in the Child-Turcotte-Pugh score by ≥2 within 3 months after SABR in the absence of disease progression. Results: A total of 153 patients with a median follow-up of 13.3 months were included. Receiver operating characteristic curve analysis found that an NLR ≥2.4 was optimum (area under the curve, 0.762; 95% confidence interval [CI], 0.682-0.841, P < .001) for predicting poor 1-year OS (38.2% vs 83.6%, P < .001). Multivariable analysis demonstrated that NLR was significantly associated with OS, both as a continuous (P = .006) and a binary variable (NLR set at 2.4; P = .003). Multiple tumors (P = .003), macrovascular invasion (P = .024), extrahepatic spread (P = .002), and albumin-bilirubin score (P = .020) were also significant predictors of OS. Elevated NLR independently prognosticated poor progression-free survival (P = .016). Liver toxicity was seen in 22 evaluable patients (15.4%). Receiver operating characteristic curve analysis found NLR ≥4.0 was optimum at predicting liver toxicity (31.4% vs 10.2%, P = .005). A higher NLR (P = .049) and albumin-bilirubin score (P = .002) were independent risk factors for liver toxicity. Conclusions: NLR is an objective and ubiquitous inflammatory marker that can predict OS and liver toxicity in HCC patients undergoing SABR. NLR could be a useful biomarker for patient risk stratification and therapeutic decision-making.