Impact of neutrophil to lymphocyte ratio on survival for hepatocellular carcinoma after curative resection

2017 ◽  
Vol 24 (10) ◽  
pp. 559-569 ◽  
Author(s):  
Hao-Chien Hung ◽  
Jin-Chiao Lee ◽  
Chih-Hsien Cheng ◽  
Tsung-Han Wu ◽  
Yu-Chao Wang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Curative Resection ◽  
Neutrophil To Lymphocyte Ratio ◽  
Lymphocyte Ratio

scholarly journals Preoperative Neutrophil-to-Lymphocyte Ratio Plus Platelet-to-Lymphocyte Ratio Predicts the Outcomes after Curative Resection for Hepatocellular Carcinoma

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
T. Kabir ◽  
M. Ye ◽  
N. A. Mohd Noor ◽  
W. Woon ◽  
S. P. Junnarkar ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Resection ◽  
Curative Resection ◽  
Scoring Systems ◽  
Neutrophil To Lymphocyte Ratio ◽  
Platelet To Lymphocyte Ratio ◽  
Roc Curve Analysis ◽  
Curative Intent ◽  
Lymphocyte Ratio

Background. In recent years, inflammation-based scoring systems have been reported to predict survival in Hepatocellular Carcinoma (HCC). The aim of our study was to validate combined preoperative Neutrophil-to-Lymphocyte ratio (NLR)-Platelet-to-Lymphocyte ratio (PLR) in predicting overall survival (OS) and recurrence free survival (RFS) in patients who underwent curative resection for HCC. Methods. We conducted a retrospective study of HCC patients underwent liver resection with curative intent from January 2010 to December 2013. Receiver-operating characteristic (ROC) curve analysis was used to determine the optimal cut-off values for NLR and PLR. Patients with both NLR and PLR elevated were allocated a score of 2; patients showing one or neither of these indices elevated were accorded a score of 1 or 0, respectively. Results. 132 patients with a median age of 66 years (range 18-87) underwent curative resection for HCC. Overall morbidity was 30.3%, 30-day mortality was 2.3%, and 90-day mortality was 6.8%. At a median follow-up of 24 months (range 1-88), 25% patients died, and 40.9% had recurrence. On multivariate analysis, elevated preoperative NLR-PLR was predictive of both OS (HR 2.496; CI 1.156-5.389; p=0.020) and RFS (HR 1.917; CI 1.161-3.166; p=0.011). The 5-year OS was 76% for NLR-PLR=0 group, 21.7% for the NLR-PLR=1 group, and 61.1% for the NLR-PLR=2 group, respectively. The 5-year RFS was 39.3% for the NLR-PLR=0 group, 18.4% for the NLR-PLR=1 group, and 21.1% for the NLR-PLR=2 group, respectively. Conclusion. The preoperative NLR-PLR is predictive of both OS and RFS in patients with HCC undergoing curative liver resection.

scholarly journals Prognostic value of preoperative inflammatory markers in patients with hepatocellular carcinoma underwent curative resection

2021 ◽  
Author(s):  
Wenlong Wu ◽  
Quancheng Wang ◽  
Dandan Han ◽  
Jianhui Li ◽  
Ye Nie ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Prognostic Factors ◽  
Inflammatory Markers ◽  
Curative Resection ◽  
Information Criterion ◽  
Gamma Glutamyl Transpeptidase ◽  
Roc Curve Analysis ◽  
Lymphocyte Ratio ◽  
Kaplan Meier ◽  
Glutamyl Transpeptidase

Abstract Background: The prognosis of hepatocellular carcinoma (HCC) is not optimistic. Our study focused on present inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), gamma-glutamyl transpeptidase-to-platelet ratio (GPR), aspartate aminotransferase-to-lymphocyte ratio (ALR) and fibrinogen-to-albumin ratio (FAR), and aimed to explore their optimal combination for the prognosis of HCC after resection.Methods: 347 HCC patients with curative resection were enrolled. The optimal cutoff values of the inflammatory markers were calculated using receiver operating characteristic (ROC) curve analysis, and used to divide patients into two groups whose differences were compared by Kaplan-Meier analysis. Cox univariate and multivariate analysis were used to analyze the independent prognostic inflammatory markers. c2 test was chosen to determine the relationship between independent prognostic inflammatory markers and clinicopathological features. We created the combined scoring models and evaluated them by Cox univariate and multivariate methods. The concordance index (C-index), Akaike information criterion (AIC) and likelihood ratio were calculated to compare the models. The selected optimal inflammatory markers and their combinations were tested in different stages of HCC by Kaplan-Meier analysis.Results: ALR and GPR were independent prognostic factors for DFS; ALR, PLR, and GPR were independent prognostic factors for OS. The proposed GPR and ALR-GPR-PLR score models were independent predictors for DFS and OS, respectively.Conclusion: The preoperative GPR and ALR-GPR-PLR score models were independent predictors for DFS and OS, respectively, and performed well in stratifying patients with HCC. The higher score in the model, the worse the prognosis was.

scholarly journals Combination of Tertiary Lymphoid Structure and Neutrophil-to-Lymphocyte Ratio Predicts Survival in Patients With Hepatocellular Carcinoma

2022 ◽  
Vol 12 ◽  
Author(s):  
Shaodi Wen ◽  
Yuzhong Chen ◽  
Chupeng Hu ◽  
Xiaoyue Du ◽  
Jingwei Xia ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Systemic Inflammation ◽  
Cox Regression ◽  
Primary Liver Cancer ◽  
Paraffin Section ◽  
Neutrophil To Lymphocyte Ratio ◽  
Survival Prediction ◽  
Cox Regression Analysis ◽  
Lymphocyte Ratio ◽  
Inflammation Parameters

BackgroundHepatocellular carcinoma (HCC) is the most common pathological type of primary liver cancer. The lack of prognosis indicators is one of the challenges in HCC. In this study, we investigated the combination of tertiary lymphoid structure (TLS) and several systemic inflammation parameters as a prognosis indicator for HCC.Materials and MethodsWe retrospectively recruited 126 postoperative patients with primary HCC. The paraffin section was collected for TLS density assessment. In addition, we collected the systemic inflammation parameters from peripheral blood samples. We evaluated the prognostic values of those parameters on overall survival (OS) using Kaplan-Meier curves, univariate and multivariate Cox regression. Last, we plotted a nomogram to predict the survival of HCC patients.ResultsWe first found TLS density was positively correlated with HCC patients’ survival (HR=0.16, 95% CI: 0.06 − 0.39, p < 0.0001), but the power of TLS density for survival prediction was found to be limited (AUC=0.776, 95% CI:0.772 − 0.806). Thus, we further introduced several systemic inflammation parameters for survival analysis, we found neutrophil-to-lymphocyte ratio (NLR) was positively associated with OS in univariate Cox regression analysis. However, the combination of TLS density and NLR better predicts patient’s survival (AUC=0.800, 95% CI: 0.698-0.902, p < 0.001) compared with using any single indicator alone. Last, we incorporated TLS density, NLR, and other parameters into the nomogram to provide a reproducible approach for survival prediction in HCC clinical practice.ConclusionThe combination of TLS density and NLR was shown to be a good predictor of HCC patient survival. It also provides a novel direction for the evaluation of immunotherapies in HCC.

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