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Pretreatment Inflammation-Based Markers Predict Survival Outcomes in Patients with Early Stage Hepatocellular Carcinoma After Radiofrequency Ablation

The prognostic significance of various systemic inflammation‐based markers has been explored in different cancers after surgery. This study aimed to investigate whether these markers could predict outcomes in patients with early-stage hepatocellular carcinoma (HCC) undergoing radiofrequency ablation...

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Autores principales: Chu, Michelle Ong, Shen, Chien-Heng, Chang, Te-Sheng, Xu, Huang-Wei, Yen, Chih-Wei, Lu, Sheng-Nan, Hung, Chao-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6226503/
https://www.ncbi.nlm.nih.gov/pubmed/30413724
http://dx.doi.org/10.1038/s41598-018-34543-z
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author Chu, Michelle Ong
Shen, Chien-Heng
Chang, Te-Sheng
Xu, Huang-Wei
Yen, Chih-Wei
Lu, Sheng-Nan
Hung, Chao-Hung
author_facet Chu, Michelle Ong
Shen, Chien-Heng
Chang, Te-Sheng
Xu, Huang-Wei
Yen, Chih-Wei
Lu, Sheng-Nan
Hung, Chao-Hung
author_sort Chu, Michelle Ong
collection PubMed
description The prognostic significance of various systemic inflammation‐based markers has been explored in different cancers after surgery. This study aimed to investigate whether these markers could predict outcomes in patients with early-stage hepatocellular carcinoma (HCC) undergoing radiofrequency ablation (RFA). One hundred eighteen patients with newly diagnosed HCC within the Milan criteria receiving RFA as initial therapy were retrospectively enrolled. Pretreatment inflammation-based markers including the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and prognostic nutritional index (PNI), together with other clinicopathologic parameters were collected. Cumulative overall survival (OS) and recurrence-free survival (RFS) were estimated by the Kaplan-Meier method and by multivariate analysis using Cox proportional hazard model. The 1-, 3-, and 5-year OS rates of patients were 90%, 67%, and 52%, respectively. Kaplan-Meier curves showed that baseline high NLR ≥ 2.5 (p = 0.006), low PNI < 40 (p = 0.005), history of end-stage renal disease (ESRD) (p = 0.005), non-Child-Pugh class A (p = 0.001) and elevated alpha-fetoprotein (AFP) ≥ 200 ng/mL (p = 0.005) significantly associated with the poor OS, whereas high PLR ≥ 100 did not. By multivariate analysis, high NLR ≥ 2.5 (hazard ratio (HR) 1.94; 95% confidence interval (CI), 1.05–3.59; p = 0.034), low PNI < 40 (HR 0.38; 95% CI, 0.20–0.72; p = 0.003), ESRD history (HR 3.60; 95% CI, 1.48–8.76; p = 0.005) and elevated AFP ≥ 200 ng/mL (HR 4.61; 95% CI, 1.75–12.13; p = 0.002) were independent factors. An elevated AFP level of ≥200 ng/mL was the significant factor associated with intrahepatic new RFS by univariate and multivariate analyses. In conclusion, pretreatment NLR and PNI are simple and useful predictors for OS in patients with early-stage HCC after RFA.
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spelling pubmed-62265032018-11-13 Pretreatment Inflammation-Based Markers Predict Survival Outcomes in Patients with Early Stage Hepatocellular Carcinoma After Radiofrequency Ablation Chu, Michelle Ong Shen, Chien-Heng Chang, Te-Sheng Xu, Huang-Wei Yen, Chih-Wei Lu, Sheng-Nan Hung, Chao-Hung Sci Rep Article The prognostic significance of various systemic inflammation‐based markers has been explored in different cancers after surgery. This study aimed to investigate whether these markers could predict outcomes in patients with early-stage hepatocellular carcinoma (HCC) undergoing radiofrequency ablation (RFA). One hundred eighteen patients with newly diagnosed HCC within the Milan criteria receiving RFA as initial therapy were retrospectively enrolled. Pretreatment inflammation-based markers including the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and prognostic nutritional index (PNI), together with other clinicopathologic parameters were collected. Cumulative overall survival (OS) and recurrence-free survival (RFS) were estimated by the Kaplan-Meier method and by multivariate analysis using Cox proportional hazard model. The 1-, 3-, and 5-year OS rates of patients were 90%, 67%, and 52%, respectively. Kaplan-Meier curves showed that baseline high NLR ≥ 2.5 (p = 0.006), low PNI < 40 (p = 0.005), history of end-stage renal disease (ESRD) (p = 0.005), non-Child-Pugh class A (p = 0.001) and elevated alpha-fetoprotein (AFP) ≥ 200 ng/mL (p = 0.005) significantly associated with the poor OS, whereas high PLR ≥ 100 did not. By multivariate analysis, high NLR ≥ 2.5 (hazard ratio (HR) 1.94; 95% confidence interval (CI), 1.05–3.59; p = 0.034), low PNI < 40 (HR 0.38; 95% CI, 0.20–0.72; p = 0.003), ESRD history (HR 3.60; 95% CI, 1.48–8.76; p = 0.005) and elevated AFP ≥ 200 ng/mL (HR 4.61; 95% CI, 1.75–12.13; p = 0.002) were independent factors. An elevated AFP level of ≥200 ng/mL was the significant factor associated with intrahepatic new RFS by univariate and multivariate analyses. In conclusion, pretreatment NLR and PNI are simple and useful predictors for OS in patients with early-stage HCC after RFA. Nature Publishing Group UK 2018-11-09 /pmc/articles/PMC6226503/ /pubmed/30413724 http://dx.doi.org/10.1038/s41598-018-34543-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Chu, Michelle Ong
Shen, Chien-Heng
Chang, Te-Sheng
Xu, Huang-Wei
Yen, Chih-Wei
Lu, Sheng-Nan
Hung, Chao-Hung
Pretreatment Inflammation-Based Markers Predict Survival Outcomes in Patients with Early Stage Hepatocellular Carcinoma After Radiofrequency Ablation
title Pretreatment Inflammation-Based Markers Predict Survival Outcomes in Patients with Early Stage Hepatocellular Carcinoma After Radiofrequency Ablation
title_full Pretreatment Inflammation-Based Markers Predict Survival Outcomes in Patients with Early Stage Hepatocellular Carcinoma After Radiofrequency Ablation
title_fullStr Pretreatment Inflammation-Based Markers Predict Survival Outcomes in Patients with Early Stage Hepatocellular Carcinoma After Radiofrequency Ablation
title_full_unstemmed Pretreatment Inflammation-Based Markers Predict Survival Outcomes in Patients with Early Stage Hepatocellular Carcinoma After Radiofrequency Ablation
title_short Pretreatment Inflammation-Based Markers Predict Survival Outcomes in Patients with Early Stage Hepatocellular Carcinoma After Radiofrequency Ablation
title_sort pretreatment inflammation-based markers predict survival outcomes in patients with early stage hepatocellular carcinoma after radiofrequency ablation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6226503/
https://www.ncbi.nlm.nih.gov/pubmed/30413724
http://dx.doi.org/10.1038/s41598-018-34543-z
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