%0 Journal Article
%T Development of a New Nomogram Including Neutrophil-to-Lymphocyte Ratio to Predict Survival in Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization
%A Beom Kyung Kim
%A Do Young Kim
%A Hana Park
%A Hye Kyung Hyun
%A Joo Ho Lee
%A Jun Yong Park
%A Kwang-Hyub Han
%A Kyu Sung Rim
%A Mi Na Kim
%A Sang Hoon Ahn
%A Seong Gyu Hwang
%A Seung Up Kim
%A Yeonjung Ha
%A Young Eun Chon
%J Archive of "Cancers".
%D 2019
%R 10.3390/cancers11040509
%X The neutrophil-to-lymphocyte ratio (NLR) has recently been reported to predict the prognosis of hepatocellular carcinoma (HCC). We explored whether NLR predicted the survival of patients with HCC undergoing transarterial chemoembolization (TACE), and developed a predictive model. In total, 1697 patients with HCC undergoing TACE as first-line therapy at two university hospitals were enrolled (derivation set n = 921, internal validation set n = 395, external validation set n = 381). The tumor size, tumor number, AFP level, vascular invasion, Child¨CPugh score, objective response after TACE, and NLR, selected as predictors of overall survival (OS) via multivariate CoxˇŻs regression model, were incorporated into a 14-point risk prediction model (SNAVCORN score). The time-dependent areas under the receiver-operating characteristic curves for OS at 1, 3, and 5 years predicted by the SNAVCORN score were 0.812, 0.734, and 0.700 in the derivation set. Patients were stratified into three risk groups by SNAVCORN score (low, 0¨C4; intermediate, 5¨C9; high, 10¨C14). Compared with the low-risk group, the intermediate-risk (HR 3.10, p < 0.001) and high-risk (HR 7.37, p < 0.001) groups exhibited significantly greater mortality. The prognostic performance of the SNAVCORN score including NLR in patients with HCC treated with TACE was remarkable, much better than those of the conventional scores. The SNAVCORN score will guide future HCC treatment decisions
%K hepatocellular carcinoma
%K transarterial chemoembolization
%K neutrophil-to-lymphocyte ratio
%K risk-prediction model
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6520830/