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Prognostic value of pretreatment inflammatory biomarkers in primary small cell carcinoma of the esophagus
BACKGROUND: Growing evidence indicates that several inflammatory biomarkers may predict survival in patients with malignant tumors. The aim of this study was to evaluate the prognostic value of pretreatment biomarkers in patients with primary small‐cell carcinoma of the esophagus (PSCCE). METHODS: A...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons Australia, Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775010/ https://www.ncbi.nlm.nih.gov/pubmed/31389159 http://dx.doi.org/10.1111/1759-7714.13164 |
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author | Wang, Nan Li, Xue Luo, Hui Sun, Yanan Zheng, Xiaoli Fan, Chengcheng Wang, Hao Ye, Ke Ge, Hong |
author_facet | Wang, Nan Li, Xue Luo, Hui Sun, Yanan Zheng, Xiaoli Fan, Chengcheng Wang, Hao Ye, Ke Ge, Hong |
author_sort | Wang, Nan |
collection | PubMed |
description | BACKGROUND: Growing evidence indicates that several inflammatory biomarkers may predict survival in patients with malignant tumors. The aim of this study was to evaluate the prognostic value of pretreatment biomarkers in patients with primary small‐cell carcinoma of the esophagus (PSCCE). METHODS: A total of 73 PSCCE patients enrolled between January 2009 and December 2017 at the Affiliated Cancer Hospital of Zhengzhou University. The total lymphocyte counts (TLC), neutrophil‐to‐lymphocyte ratio (NLR) and platelet‐to‐lymphocyte ratio (PLR) prior to anticancer therapy were collected as inflammation biomarkers. The cutoff value was determined by Receiver operating characteristic (ROC). The Kaplan‐Meier method was utilized to analyze overall survival (OS). Cox proportional hazards regression was used to identify univariate and multivariate prognostic factors. RESULTS: Univariate analysis showed that high NLR group (hazard ratio [HR] = 1.685; 95% CI: 1.001–2.838; P = 0.047) and high PLR group (hazard ratio [HR] = 1.716; 95% CI: 1.039–2.834; P = 0.033) were associated with poor OS, and TLC was not correlated with OS. On multivariate analysis, high PLR (hazard ratio [HR] = 1.751; 95% CI: 1.042–2.945; P = 0.035) was an independent prognostic factor of unfavorable OS. CONCLUSIONS: Pretreatment PLR and NLR are correlated with OS. These biomarkers are easily accessible, cost effective, and can serve as a marker to identify high‐risk patients for further designing personalized treatment and predicting treatment outcomes. |
format | Online Article Text |
id | pubmed-6775010 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley & Sons Australia, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-67750102019-10-07 Prognostic value of pretreatment inflammatory biomarkers in primary small cell carcinoma of the esophagus Wang, Nan Li, Xue Luo, Hui Sun, Yanan Zheng, Xiaoli Fan, Chengcheng Wang, Hao Ye, Ke Ge, Hong Thorac Cancer Original Articles BACKGROUND: Growing evidence indicates that several inflammatory biomarkers may predict survival in patients with malignant tumors. The aim of this study was to evaluate the prognostic value of pretreatment biomarkers in patients with primary small‐cell carcinoma of the esophagus (PSCCE). METHODS: A total of 73 PSCCE patients enrolled between January 2009 and December 2017 at the Affiliated Cancer Hospital of Zhengzhou University. The total lymphocyte counts (TLC), neutrophil‐to‐lymphocyte ratio (NLR) and platelet‐to‐lymphocyte ratio (PLR) prior to anticancer therapy were collected as inflammation biomarkers. The cutoff value was determined by Receiver operating characteristic (ROC). The Kaplan‐Meier method was utilized to analyze overall survival (OS). Cox proportional hazards regression was used to identify univariate and multivariate prognostic factors. RESULTS: Univariate analysis showed that high NLR group (hazard ratio [HR] = 1.685; 95% CI: 1.001–2.838; P = 0.047) and high PLR group (hazard ratio [HR] = 1.716; 95% CI: 1.039–2.834; P = 0.033) were associated with poor OS, and TLC was not correlated with OS. On multivariate analysis, high PLR (hazard ratio [HR] = 1.751; 95% CI: 1.042–2.945; P = 0.035) was an independent prognostic factor of unfavorable OS. CONCLUSIONS: Pretreatment PLR and NLR are correlated with OS. These biomarkers are easily accessible, cost effective, and can serve as a marker to identify high‐risk patients for further designing personalized treatment and predicting treatment outcomes. John Wiley & Sons Australia, Ltd 2019-08-06 2019-10 /pmc/articles/PMC6775010/ /pubmed/31389159 http://dx.doi.org/10.1111/1759-7714.13164 Text en © 2019 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Articles Wang, Nan Li, Xue Luo, Hui Sun, Yanan Zheng, Xiaoli Fan, Chengcheng Wang, Hao Ye, Ke Ge, Hong Prognostic value of pretreatment inflammatory biomarkers in primary small cell carcinoma of the esophagus |
title | Prognostic value of pretreatment inflammatory biomarkers in primary small cell carcinoma of the esophagus |
title_full | Prognostic value of pretreatment inflammatory biomarkers in primary small cell carcinoma of the esophagus |
title_fullStr | Prognostic value of pretreatment inflammatory biomarkers in primary small cell carcinoma of the esophagus |
title_full_unstemmed | Prognostic value of pretreatment inflammatory biomarkers in primary small cell carcinoma of the esophagus |
title_short | Prognostic value of pretreatment inflammatory biomarkers in primary small cell carcinoma of the esophagus |
title_sort | prognostic value of pretreatment inflammatory biomarkers in primary small cell carcinoma of the esophagus |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775010/ https://www.ncbi.nlm.nih.gov/pubmed/31389159 http://dx.doi.org/10.1111/1759-7714.13164 |
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