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Clinical implications of six inflammatory biomarkers as prognostic indicators in Ewing sarcoma
Cancer-related systemic inflammation responses have been correlated with cancer development and progression. The prognostic significance of several inflammatory indicators, including neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), Glasgow Prognostic Score (GPS), C-reactive protei...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628701/ https://www.ncbi.nlm.nih.gov/pubmed/29033609 http://dx.doi.org/10.2147/CMAR.S146827 |
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author | Li, Yong-Jiang Yang, Xi Zhang, Wen-Biao Yi, Cheng Wang, Feng Li, Ping |
author_facet | Li, Yong-Jiang Yang, Xi Zhang, Wen-Biao Yi, Cheng Wang, Feng Li, Ping |
author_sort | Li, Yong-Jiang |
collection | PubMed |
description | Cancer-related systemic inflammation responses have been correlated with cancer development and progression. The prognostic significance of several inflammatory indicators, including neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), Glasgow Prognostic Score (GPS), C-reactive protein to albumin ratio (CRP/Alb ratio), lymphocyte–monocyte ratio (LMR), and neutrophil–platelet score (NPS), were found to be correlated with prognosis in several cancers. However, the prognostic role of these inflammatory biomarkers in Ewing sarcoma has not been evaluated. This study enrolled 122 Ewing patients. Receiver operating characteristic (ROC) analysis was generated to determine optimal cutoff values; areas under the curves (AUCs) were assessed to show the discriminatory ability of the biomarkers; Kaplan–Meier analysis was conducted to plot the survival curves; and Cox multivariate survival analysis was performed to identify independent prognostic factors. The optimal cutoff values of CRP/Alb ratio, NLR, PLR, and LMR were 0.225, 2.38, 131, and 4.41, respectively. CRP/Alb ratio had a significantly larger AUC than NLR, PLR, LMR, and NPS. Higher levels of CRP/Alb ratio (hazard ratio [HR] 2.41, P=0.005), GPS (HR 2.27, P=0.006), NLR (HR 2.07, P=0.013), and PLR (HR 1.85, P=0.032) were significantly correlated with poor prognosis. As the biomarkers had internal correlations, only the CRP/Alb ratio was involved in the multivariate Cox analysis and remained an independent prognostic indicator. The study demonstrated that CRP/Alb ratio, GPS, and NLR were effective prognostic indicators for patients with Ewing sarcoma, and the CRP/Alb ratio was the most robust prognostic indicator with a discriminatory ability superior to that of the other indicators; however, PLR, LMR, and NPS may not be suitable as prognostic indicators in Ewing sarcoma. |
format | Online Article Text |
id | pubmed-5628701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-56287012017-10-13 Clinical implications of six inflammatory biomarkers as prognostic indicators in Ewing sarcoma Li, Yong-Jiang Yang, Xi Zhang, Wen-Biao Yi, Cheng Wang, Feng Li, Ping Cancer Manag Res Original Research Cancer-related systemic inflammation responses have been correlated with cancer development and progression. The prognostic significance of several inflammatory indicators, including neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), Glasgow Prognostic Score (GPS), C-reactive protein to albumin ratio (CRP/Alb ratio), lymphocyte–monocyte ratio (LMR), and neutrophil–platelet score (NPS), were found to be correlated with prognosis in several cancers. However, the prognostic role of these inflammatory biomarkers in Ewing sarcoma has not been evaluated. This study enrolled 122 Ewing patients. Receiver operating characteristic (ROC) analysis was generated to determine optimal cutoff values; areas under the curves (AUCs) were assessed to show the discriminatory ability of the biomarkers; Kaplan–Meier analysis was conducted to plot the survival curves; and Cox multivariate survival analysis was performed to identify independent prognostic factors. The optimal cutoff values of CRP/Alb ratio, NLR, PLR, and LMR were 0.225, 2.38, 131, and 4.41, respectively. CRP/Alb ratio had a significantly larger AUC than NLR, PLR, LMR, and NPS. Higher levels of CRP/Alb ratio (hazard ratio [HR] 2.41, P=0.005), GPS (HR 2.27, P=0.006), NLR (HR 2.07, P=0.013), and PLR (HR 1.85, P=0.032) were significantly correlated with poor prognosis. As the biomarkers had internal correlations, only the CRP/Alb ratio was involved in the multivariate Cox analysis and remained an independent prognostic indicator. The study demonstrated that CRP/Alb ratio, GPS, and NLR were effective prognostic indicators for patients with Ewing sarcoma, and the CRP/Alb ratio was the most robust prognostic indicator with a discriminatory ability superior to that of the other indicators; however, PLR, LMR, and NPS may not be suitable as prognostic indicators in Ewing sarcoma. Dove Medical Press 2017-09-28 /pmc/articles/PMC5628701/ /pubmed/29033609 http://dx.doi.org/10.2147/CMAR.S146827 Text en © 2017 Li et al. 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. |
spellingShingle | Original Research Li, Yong-Jiang Yang, Xi Zhang, Wen-Biao Yi, Cheng Wang, Feng Li, Ping Clinical implications of six inflammatory biomarkers as prognostic indicators in Ewing sarcoma |
title | Clinical implications of six inflammatory biomarkers as prognostic indicators in Ewing sarcoma |
title_full | Clinical implications of six inflammatory biomarkers as prognostic indicators in Ewing sarcoma |
title_fullStr | Clinical implications of six inflammatory biomarkers as prognostic indicators in Ewing sarcoma |
title_full_unstemmed | Clinical implications of six inflammatory biomarkers as prognostic indicators in Ewing sarcoma |
title_short | Clinical implications of six inflammatory biomarkers as prognostic indicators in Ewing sarcoma |
title_sort | clinical implications of six inflammatory biomarkers as prognostic indicators in ewing sarcoma |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628701/ https://www.ncbi.nlm.nih.gov/pubmed/29033609 http://dx.doi.org/10.2147/CMAR.S146827 |
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