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An inflammatory biomarker‐based nomogram to predict prognosis of patients with nasopharyngeal carcinoma: an analysis of a prospective study

Chronic inflammation plays an important role in tumor progression. The aim of this analysis was to evaluate whether inflammatory biomarkers such as the Glasgow prognostic score (GPS), the neutrophil‐lymphocyte ratio (NLR), the platelet‐lymphocyte ratio (PLR), and the lymphocyte‐monocyte ratio (LMR)...

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Autores principales: Li, Xiao‐Hui, Chang, Hui, Xu, Bing‐Qing, Tao, Ya‐Lan, Gao, Jin, Chen, Chen, Qu, Chen, Zhou, Shu, Liu, Song‐Ran, Wang, Xiao‐Hui, Zhang, Wen‐Wen, Yang, Xin, Zhou, Si‐Lang, Xia, Yun‐Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5269708/
https://www.ncbi.nlm.nih.gov/pubmed/27860387
http://dx.doi.org/10.1002/cam4.947
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author Li, Xiao‐Hui
Chang, Hui
Xu, Bing‐Qing
Tao, Ya‐Lan
Gao, Jin
Chen, Chen
Qu, Chen
Zhou, Shu
Liu, Song‐Ran
Wang, Xiao‐Hui
Zhang, Wen‐Wen
Yang, Xin
Zhou, Si‐Lang
Xia, Yun‐Fei
author_facet Li, Xiao‐Hui
Chang, Hui
Xu, Bing‐Qing
Tao, Ya‐Lan
Gao, Jin
Chen, Chen
Qu, Chen
Zhou, Shu
Liu, Song‐Ran
Wang, Xiao‐Hui
Zhang, Wen‐Wen
Yang, Xin
Zhou, Si‐Lang
Xia, Yun‐Fei
author_sort Li, Xiao‐Hui
collection PubMed
description Chronic inflammation plays an important role in tumor progression. The aim of this analysis was to evaluate whether inflammatory biomarkers such as the Glasgow prognostic score (GPS), the neutrophil‐lymphocyte ratio (NLR), the platelet‐lymphocyte ratio (PLR), and the lymphocyte‐monocyte ratio (LMR) could predict the prognosis of nasopharyngeal carcinoma (NPC). In this analysis, pretreatment GPS, NLR, PLR, LMR of 388 patients who were diagnosed as nonmetastatic NPC and recruited prospectively in the 863 Program No. 2006AA02Z4B4 were assessed. Of those, the 249 cases enrolled between December 27th 2006 and July 31st 2011 were defined as the development set. The rest 139 cases enrolled between August 1st 2011 and July 31st 2013 were defined as the validation set. The variables above were analyzed in the development set, together with age, gender, Karnofsky performance score, T stage, and N stage, with respect to their impact on the disease‐specific survival (DSS) through a univariate analysis. The candidate prognostic factors then underwent a multivariate analysis. A nomogram was established to predict the DSS, by involving the independent prognostic factors. Its predction capacity was evaluated through calculating Harrell's concordance index (C‐index) in the validation set. After multivariate analysis for the development set, age (≤50 vs. >50 years old), T stage (T1–2 vs. T3–4), N stage (N0–1 vs. N2–3) and pretreatment GPS (0 vs. 1–2), NLR (≤2.5 vs. >2.5), LMR (≤2.35 vs. >2.35) were independent prognostic factors of DSS (P values were 0.002, 0.008, <0.001, 0.004, 0.018, and 0.004, respectively). A nomogram was established by involving all the factors above. Its C‐index for predicting the DSS of the validation set was 0.734 (standard error 0.056). Pretreatment GPS, NLR, and LMR were independent prognostic factors of NPC. The nomogram based on them could be used to predict the DSS of NPC patients.
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spelling pubmed-52697082017-02-01 An inflammatory biomarker‐based nomogram to predict prognosis of patients with nasopharyngeal carcinoma: an analysis of a prospective study Li, Xiao‐Hui Chang, Hui Xu, Bing‐Qing Tao, Ya‐Lan Gao, Jin Chen, Chen Qu, Chen Zhou, Shu Liu, Song‐Ran Wang, Xiao‐Hui Zhang, Wen‐Wen Yang, Xin Zhou, Si‐Lang Xia, Yun‐Fei Cancer Med Cancer Prevention Chronic inflammation plays an important role in tumor progression. The aim of this analysis was to evaluate whether inflammatory biomarkers such as the Glasgow prognostic score (GPS), the neutrophil‐lymphocyte ratio (NLR), the platelet‐lymphocyte ratio (PLR), and the lymphocyte‐monocyte ratio (LMR) could predict the prognosis of nasopharyngeal carcinoma (NPC). In this analysis, pretreatment GPS, NLR, PLR, LMR of 388 patients who were diagnosed as nonmetastatic NPC and recruited prospectively in the 863 Program No. 2006AA02Z4B4 were assessed. Of those, the 249 cases enrolled between December 27th 2006 and July 31st 2011 were defined as the development set. The rest 139 cases enrolled between August 1st 2011 and July 31st 2013 were defined as the validation set. The variables above were analyzed in the development set, together with age, gender, Karnofsky performance score, T stage, and N stage, with respect to their impact on the disease‐specific survival (DSS) through a univariate analysis. The candidate prognostic factors then underwent a multivariate analysis. A nomogram was established to predict the DSS, by involving the independent prognostic factors. Its predction capacity was evaluated through calculating Harrell's concordance index (C‐index) in the validation set. After multivariate analysis for the development set, age (≤50 vs. >50 years old), T stage (T1–2 vs. T3–4), N stage (N0–1 vs. N2–3) and pretreatment GPS (0 vs. 1–2), NLR (≤2.5 vs. >2.5), LMR (≤2.35 vs. >2.35) were independent prognostic factors of DSS (P values were 0.002, 0.008, <0.001, 0.004, 0.018, and 0.004, respectively). A nomogram was established by involving all the factors above. Its C‐index for predicting the DSS of the validation set was 0.734 (standard error 0.056). Pretreatment GPS, NLR, and LMR were independent prognostic factors of NPC. The nomogram based on them could be used to predict the DSS of NPC patients. John Wiley and Sons Inc. 2016-11-10 /pmc/articles/PMC5269708/ /pubmed/27860387 http://dx.doi.org/10.1002/cam4.947 Text en © 2016 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Cancer Prevention
Li, Xiao‐Hui
Chang, Hui
Xu, Bing‐Qing
Tao, Ya‐Lan
Gao, Jin
Chen, Chen
Qu, Chen
Zhou, Shu
Liu, Song‐Ran
Wang, Xiao‐Hui
Zhang, Wen‐Wen
Yang, Xin
Zhou, Si‐Lang
Xia, Yun‐Fei
An inflammatory biomarker‐based nomogram to predict prognosis of patients with nasopharyngeal carcinoma: an analysis of a prospective study
title An inflammatory biomarker‐based nomogram to predict prognosis of patients with nasopharyngeal carcinoma: an analysis of a prospective study
title_full An inflammatory biomarker‐based nomogram to predict prognosis of patients with nasopharyngeal carcinoma: an analysis of a prospective study
title_fullStr An inflammatory biomarker‐based nomogram to predict prognosis of patients with nasopharyngeal carcinoma: an analysis of a prospective study
title_full_unstemmed An inflammatory biomarker‐based nomogram to predict prognosis of patients with nasopharyngeal carcinoma: an analysis of a prospective study
title_short An inflammatory biomarker‐based nomogram to predict prognosis of patients with nasopharyngeal carcinoma: an analysis of a prospective study
title_sort inflammatory biomarker‐based nomogram to predict prognosis of patients with nasopharyngeal carcinoma: an analysis of a prospective study
topic Cancer Prevention
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5269708/
https://www.ncbi.nlm.nih.gov/pubmed/27860387
http://dx.doi.org/10.1002/cam4.947
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