Cargando…
Modeling Sarcopenia to Predict Survival for Patients With Nasopharyngeal Carcinoma Receiving Concurrent Chemoradiotherapy
BACKGROUND: The present study aimed to construct a prognostic nomogram including Epstein-Barr virus DNA (EBV-DNA) and sarcopenia in patients with nasopharyngeal carcinoma (NPC) receiving concurrent chemoradiotherapy (CCRT). METHODS: In this retrospective analysis, we studied 1,045 patients with NPC...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993198/ https://www.ncbi.nlm.nih.gov/pubmed/33777769 http://dx.doi.org/10.3389/fonc.2021.625534 |
_version_ | 1783669517276151808 |
---|---|
author | Hua, Xin Li, Wang-Zhong Huang, Xin Wen, Wen Huang, Han-Ying Long, Zhi-Qing Lin, Huan-Xin Yuan, Zhong-Yu Guo, Ling |
author_facet | Hua, Xin Li, Wang-Zhong Huang, Xin Wen, Wen Huang, Han-Ying Long, Zhi-Qing Lin, Huan-Xin Yuan, Zhong-Yu Guo, Ling |
author_sort | Hua, Xin |
collection | PubMed |
description | BACKGROUND: The present study aimed to construct a prognostic nomogram including Epstein-Barr virus DNA (EBV-DNA) and sarcopenia in patients with nasopharyngeal carcinoma (NPC) receiving concurrent chemoradiotherapy (CCRT). METHODS: In this retrospective analysis, we studied 1,045 patients with NPC who had been treated with CCRT between 2010 and 2014. Sarcopenia was determined using routine pre-radiotherapy computed tomography scans of the third cervical vertebrae. A new S-E grade was constructed using a receiver-operating characteristic (ROC) curve analyses determined cutoff values of sarcopenia and plasma EBV-DNA. The nomogram was developed base on the sarcopenia-EBV (S-E) grade and traditional prognostic factors. A calibration curve, time-dependent ROC, decision curve analysis, and the concordance index (C-index) determined the accuracy of prediction and discrimination of the nomogram, and were compared with TNM staging system and a traditional nomogram. RESULTS: Patient survival was significantly different when sarcopenia (P < 0.001) or EBV-DNA (P = 0.001) were used and they continued to be independent prognostic factors for survival upon univariate (P < 0.001, P = 0.002, respectively) and multivariate (P < 0.001, P = 0.015, respectively) analyses. Predicting overall survival (OS) was more accurate using the S-E grade than using TNM staging and sarcopenia or EBV-DNA alone. Nomogram B (model with sarcopenia) or nomogram A (model without sarcopenia) were then developed based on the identified independent prognostic factors. Comparing nomogram prediction with actual observation showed good agreement among the calibration curves for probability of 1-, 3-, and 5-year OS. Predicted survival (C-index = 0.77) of nomogram B was statistically higher than that of nomogram A (0.676, P = 0.020) and TNM staging (0.604, P < 0.001). Risk group stratification could distinguish between survival curves within respective TNM stages (all stages, P < 0.001; stage III, P < 0.001; stage IV, P = 0.002). CONCLUSIONS: The sarcopenia-EBV DNA nomogram allowed more accurate prediction of prognosis for patients with NPC receiving CCRT. |
format | Online Article Text |
id | pubmed-7993198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79931982021-03-26 Modeling Sarcopenia to Predict Survival for Patients With Nasopharyngeal Carcinoma Receiving Concurrent Chemoradiotherapy Hua, Xin Li, Wang-Zhong Huang, Xin Wen, Wen Huang, Han-Ying Long, Zhi-Qing Lin, Huan-Xin Yuan, Zhong-Yu Guo, Ling Front Oncol Oncology BACKGROUND: The present study aimed to construct a prognostic nomogram including Epstein-Barr virus DNA (EBV-DNA) and sarcopenia in patients with nasopharyngeal carcinoma (NPC) receiving concurrent chemoradiotherapy (CCRT). METHODS: In this retrospective analysis, we studied 1,045 patients with NPC who had been treated with CCRT between 2010 and 2014. Sarcopenia was determined using routine pre-radiotherapy computed tomography scans of the third cervical vertebrae. A new S-E grade was constructed using a receiver-operating characteristic (ROC) curve analyses determined cutoff values of sarcopenia and plasma EBV-DNA. The nomogram was developed base on the sarcopenia-EBV (S-E) grade and traditional prognostic factors. A calibration curve, time-dependent ROC, decision curve analysis, and the concordance index (C-index) determined the accuracy of prediction and discrimination of the nomogram, and were compared with TNM staging system and a traditional nomogram. RESULTS: Patient survival was significantly different when sarcopenia (P < 0.001) or EBV-DNA (P = 0.001) were used and they continued to be independent prognostic factors for survival upon univariate (P < 0.001, P = 0.002, respectively) and multivariate (P < 0.001, P = 0.015, respectively) analyses. Predicting overall survival (OS) was more accurate using the S-E grade than using TNM staging and sarcopenia or EBV-DNA alone. Nomogram B (model with sarcopenia) or nomogram A (model without sarcopenia) were then developed based on the identified independent prognostic factors. Comparing nomogram prediction with actual observation showed good agreement among the calibration curves for probability of 1-, 3-, and 5-year OS. Predicted survival (C-index = 0.77) of nomogram B was statistically higher than that of nomogram A (0.676, P = 0.020) and TNM staging (0.604, P < 0.001). Risk group stratification could distinguish between survival curves within respective TNM stages (all stages, P < 0.001; stage III, P < 0.001; stage IV, P = 0.002). CONCLUSIONS: The sarcopenia-EBV DNA nomogram allowed more accurate prediction of prognosis for patients with NPC receiving CCRT. Frontiers Media S.A. 2021-03-11 /pmc/articles/PMC7993198/ /pubmed/33777769 http://dx.doi.org/10.3389/fonc.2021.625534 Text en Copyright © 2021 Hua, Li, Huang, Wen, Huang, Long, Lin, Yuan and Guo http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Hua, Xin Li, Wang-Zhong Huang, Xin Wen, Wen Huang, Han-Ying Long, Zhi-Qing Lin, Huan-Xin Yuan, Zhong-Yu Guo, Ling Modeling Sarcopenia to Predict Survival for Patients With Nasopharyngeal Carcinoma Receiving Concurrent Chemoradiotherapy |
title | Modeling Sarcopenia to Predict Survival for Patients With Nasopharyngeal Carcinoma Receiving Concurrent Chemoradiotherapy |
title_full | Modeling Sarcopenia to Predict Survival for Patients With Nasopharyngeal Carcinoma Receiving Concurrent Chemoradiotherapy |
title_fullStr | Modeling Sarcopenia to Predict Survival for Patients With Nasopharyngeal Carcinoma Receiving Concurrent Chemoradiotherapy |
title_full_unstemmed | Modeling Sarcopenia to Predict Survival for Patients With Nasopharyngeal Carcinoma Receiving Concurrent Chemoradiotherapy |
title_short | Modeling Sarcopenia to Predict Survival for Patients With Nasopharyngeal Carcinoma Receiving Concurrent Chemoradiotherapy |
title_sort | modeling sarcopenia to predict survival for patients with nasopharyngeal carcinoma receiving concurrent chemoradiotherapy |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993198/ https://www.ncbi.nlm.nih.gov/pubmed/33777769 http://dx.doi.org/10.3389/fonc.2021.625534 |
work_keys_str_mv | AT huaxin modelingsarcopeniatopredictsurvivalforpatientswithnasopharyngealcarcinomareceivingconcurrentchemoradiotherapy AT liwangzhong modelingsarcopeniatopredictsurvivalforpatientswithnasopharyngealcarcinomareceivingconcurrentchemoradiotherapy AT huangxin modelingsarcopeniatopredictsurvivalforpatientswithnasopharyngealcarcinomareceivingconcurrentchemoradiotherapy AT wenwen modelingsarcopeniatopredictsurvivalforpatientswithnasopharyngealcarcinomareceivingconcurrentchemoradiotherapy AT huanghanying modelingsarcopeniatopredictsurvivalforpatientswithnasopharyngealcarcinomareceivingconcurrentchemoradiotherapy AT longzhiqing modelingsarcopeniatopredictsurvivalforpatientswithnasopharyngealcarcinomareceivingconcurrentchemoradiotherapy AT linhuanxin modelingsarcopeniatopredictsurvivalforpatientswithnasopharyngealcarcinomareceivingconcurrentchemoradiotherapy AT yuanzhongyu modelingsarcopeniatopredictsurvivalforpatientswithnasopharyngealcarcinomareceivingconcurrentchemoradiotherapy AT guoling modelingsarcopeniatopredictsurvivalforpatientswithnasopharyngealcarcinomareceivingconcurrentchemoradiotherapy |