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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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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
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author Wang, Hongyu
Lin, Chuyang
Fan, Wenzhe
Zhang, Jiang
Zhang, Yingqiang
Yao, Wang
Li, Jiaping
author_facet Wang, Hongyu
Lin, Chuyang
Fan, Wenzhe
Zhang, Jiang
Zhang, Yingqiang
Yao, Wang
Li, Jiaping
author_sort Wang, Hongyu
collection PubMed
description 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.
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spelling pubmed-72349562020-06-09 Dynamic Changes in the Neutrophil-to-Lymphocyte Ratio Predict the Prognosis of Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization Wang, Hongyu Lin, Chuyang Fan, Wenzhe Zhang, Jiang Zhang, Yingqiang Yao, Wang Li, Jiaping Cancer Manag Res Original Research 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. Dove 2020-05-14 /pmc/articles/PMC7234956/ /pubmed/32523374 http://dx.doi.org/10.2147/CMAR.S245396 Text en © 2020 Wang et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Wang, Hongyu
Lin, Chuyang
Fan, Wenzhe
Zhang, Jiang
Zhang, Yingqiang
Yao, Wang
Li, Jiaping
Dynamic Changes in the Neutrophil-to-Lymphocyte Ratio Predict the Prognosis of Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization
title Dynamic Changes in the Neutrophil-to-Lymphocyte Ratio Predict the Prognosis of Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization
title_full Dynamic Changes in the Neutrophil-to-Lymphocyte Ratio Predict the Prognosis of Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization
title_fullStr Dynamic Changes in the Neutrophil-to-Lymphocyte Ratio Predict the Prognosis of Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization
title_full_unstemmed Dynamic Changes in the Neutrophil-to-Lymphocyte Ratio Predict the Prognosis of Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization
title_short Dynamic Changes in the Neutrophil-to-Lymphocyte Ratio Predict the Prognosis of Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization
title_sort dynamic changes in the neutrophil-to-lymphocyte ratio predict the prognosis of patients with hepatocellular carcinoma undergoing transarterial chemoembolization
topic Original Research
url 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
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