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Dynamic Changes in the Neutrophil-to-Lymphocyte Ratio Predict the Prognosis of Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization

PURPOSE: To examine the effect of dynamic changes in neutrophil-to-lymphocyte ratio (NLR) on tumor response and overall survival (OS) in patients with hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE). PATIENTS AND METHODS: Data from 181 patients with HCC were retrospe...

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Detalles Bibliográficos
Autores principales: Wang, Hongyu, Lin, Chuyang, Fan, Wenzhe, Zhang, Jiang, Zhang, Yingqiang, Yao, Wang, Li, Jiaping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7234956/
https://www.ncbi.nlm.nih.gov/pubmed/32523374
http://dx.doi.org/10.2147/CMAR.S245396
Descripción
Sumario:PURPOSE: To examine the effect of dynamic changes in neutrophil-to-lymphocyte ratio (NLR) on tumor response and overall survival (OS) in patients with hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE). PATIENTS AND METHODS: Data from 181 patients with HCC were retrospectively collected. White blood cell, neutrophil and lymphocyte counts, and the NLR were obtained 1–3 days before as well as 3–6 weeks and 3 months after TACE. Patients were divided into two groups at each time point according to the mean value of NLR, and also divided into continuous decrease, fluctuating increase-decrease (I-D), fluctuating decrease-increase (D-I), and continuous increase groups according to the dynamic changes in the NLR. The dynamic changes in blood counts and NLR were analyzed using repeated-measures ANOVA. The odds ratios (ORs) for tumor response in different NLR groups were examined using a multivariate logistic regression model. Finally, the prognostic value of the dynamic changes in the NLR was examined using Cox regression models. RESULTS: Continuous decline of white blood cell counts, neutrophil counts and lymphocyte counts were observed at 3–6 weeks and 3 months after TACE treatment. The NLR increased slightly and then decreased substantially in responders, while it increased slightly and then significantly in non-responders, with a significant interaction effect of Time × Tumor response (P = 0.005). NLR grouping before TACE, 3–6 weeks and 3 months after TACE was not associated with tumor response, and only 3 months after TACE did, it shows a significant difference in univariate survival analyses (NLR > 2.5 vs NLR ≤ 2.5, hazard ratio [HR] = 2.442, 95% confidence interval (CI): 1.545, 3.860). The changes in the NLR were significantly correlated with tumor response and OS. Non-responders for TACE were more common in the continuous NLR increase group (OR = 6.230, 95% CI: 1.848–21.001) and in the fluctuating D-I group (OR = 5.702, 95% CI: 1.480–21.957). Multivariate analyses revealed that these two patient groups also showed poorer OS (HR = 2.351, 95% CI: 1.120–4.605 and HR = 2.320, 95% CI: 1.187–4.533, respectively). CONCLUSION: Dynamic changes in the NLR may be better predictors of tumor response and OS than static NLR values, but more data are needed.