Cargando…
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)...
Autores principales: | , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1782501045651374080 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5269708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT lixiaohui aninflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT changhui aninflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT xubingqing aninflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT taoyalan aninflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT gaojin aninflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT chenchen aninflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT quchen aninflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT zhoushu aninflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT liusongran aninflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT wangxiaohui aninflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT zhangwenwen aninflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT yangxin aninflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT zhousilang aninflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT xiayunfei aninflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT lixiaohui inflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT changhui inflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT xubingqing inflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT taoyalan inflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT gaojin inflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT chenchen inflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT quchen inflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT zhoushu inflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT liusongran inflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT wangxiaohui inflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT zhangwenwen inflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT yangxin inflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT zhousilang inflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy AT xiayunfei inflammatorybiomarkerbasednomogramtopredictprognosisofpatientswithnasopharyngealcarcinomaananalysisofaprospectivestudy |