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Prognostic and Treatment Guiding Significance of MRI-Based Tumor Burden Features and Nodal Necrosis in Nasopharyngeal Carcinoma

We aimed to develop a nomogram integrating MRI-based tumor burden features (MTBF), nodal necrosis, and some clinical factors to forecast the distant metastasis-free survival (DMFS) of patients suffering from non-metastatic nasopharyngeal carcinoma (NPC). A total of 1640 patients treated at Sun Yat-s...

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Autores principales: Chen, Xi, Cao, Xun, Jing, Bingzhong, Xia, Weixiong, Ke, Liangru, Xiang, Yanqun, Liu, Kuiyuan, Qiang, Mengyun, Liang, Chixiong, Li, Jianpeng, Gao, Mingyong, Li, Wangzhong, Miao, Jingjing, Liu, Guoying, Cai, Zhuochen, Lv, Shuhui, Guo, Xiang, Li, Chaofeng, Lv, Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518313/
https://www.ncbi.nlm.nih.gov/pubmed/33042831
http://dx.doi.org/10.3389/fonc.2020.537318
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author Chen, Xi
Cao, Xun
Jing, Bingzhong
Xia, Weixiong
Ke, Liangru
Xiang, Yanqun
Liu, Kuiyuan
Qiang, Mengyun
Liang, Chixiong
Li, Jianpeng
Gao, Mingyong
Li, Wangzhong
Miao, Jingjing
Liu, Guoying
Cai, Zhuochen
Lv, Shuhui
Guo, Xiang
Li, Chaofeng
Lv, Xing
author_facet Chen, Xi
Cao, Xun
Jing, Bingzhong
Xia, Weixiong
Ke, Liangru
Xiang, Yanqun
Liu, Kuiyuan
Qiang, Mengyun
Liang, Chixiong
Li, Jianpeng
Gao, Mingyong
Li, Wangzhong
Miao, Jingjing
Liu, Guoying
Cai, Zhuochen
Lv, Shuhui
Guo, Xiang
Li, Chaofeng
Lv, Xing
author_sort Chen, Xi
collection PubMed
description We aimed to develop a nomogram integrating MRI-based tumor burden features (MTBF), nodal necrosis, and some clinical factors to forecast the distant metastasis-free survival (DMFS) of patients suffering from non-metastatic nasopharyngeal carcinoma (NPC). A total of 1640 patients treated at Sun Yat-sen University Cancer Center (Guangzhou, China) from 2011 to 2016 were enrolled, among which 1148 and 492 patients were randomized to a training cohort and an internal validation cohort, respectively. Additionally, 200 and 257 patients were enrolled in the Foshan and Dongguan validation cohorts, respectively, which served as independent external validation cohorts. The MTBF were developed from the stepwise regression of six multidimensional tumor burden variables, based on which we developed a nomogram also integrating nodal necrosis and clinical features. This model divided the patients into high- and low-risk groups by an optimal cutoff. Compared with those of patients in the low-risk group, the DMFS [hazard ratio (HR): 4.76, 95% confidence interval (CI): 3.39–6.69; p < 0.0001], and progression-free survival (PFS; HR: 4.11, 95% CI: 3.13–5.39; p < 0.0001) of patients in the high-risk group were relatively poor. Furthermore, in the training cohort, the 3-year DMFS of high-risk patients who received induction chemotherapy (ICT) combined with concurrent chemoradiotherapy (CCRT) was better than that of those who were treated with CCRT alone (p = 0.0340), whereas low-risk patients who received ICT + CCRT had a similar DMFS to those who only received CCRT. The outcomes we obtained were all verified in the three validation cohorts. The survival model can be used as a reliable prognostic tool for NPC patients and is helpful to determine patients who will benefit from ICT.
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spelling pubmed-75183132020-10-09 Prognostic and Treatment Guiding Significance of MRI-Based Tumor Burden Features and Nodal Necrosis in Nasopharyngeal Carcinoma Chen, Xi Cao, Xun Jing, Bingzhong Xia, Weixiong Ke, Liangru Xiang, Yanqun Liu, Kuiyuan Qiang, Mengyun Liang, Chixiong Li, Jianpeng Gao, Mingyong Li, Wangzhong Miao, Jingjing Liu, Guoying Cai, Zhuochen Lv, Shuhui Guo, Xiang Li, Chaofeng Lv, Xing Front Oncol Oncology We aimed to develop a nomogram integrating MRI-based tumor burden features (MTBF), nodal necrosis, and some clinical factors to forecast the distant metastasis-free survival (DMFS) of patients suffering from non-metastatic nasopharyngeal carcinoma (NPC). A total of 1640 patients treated at Sun Yat-sen University Cancer Center (Guangzhou, China) from 2011 to 2016 were enrolled, among which 1148 and 492 patients were randomized to a training cohort and an internal validation cohort, respectively. Additionally, 200 and 257 patients were enrolled in the Foshan and Dongguan validation cohorts, respectively, which served as independent external validation cohorts. The MTBF were developed from the stepwise regression of six multidimensional tumor burden variables, based on which we developed a nomogram also integrating nodal necrosis and clinical features. This model divided the patients into high- and low-risk groups by an optimal cutoff. Compared with those of patients in the low-risk group, the DMFS [hazard ratio (HR): 4.76, 95% confidence interval (CI): 3.39–6.69; p < 0.0001], and progression-free survival (PFS; HR: 4.11, 95% CI: 3.13–5.39; p < 0.0001) of patients in the high-risk group were relatively poor. Furthermore, in the training cohort, the 3-year DMFS of high-risk patients who received induction chemotherapy (ICT) combined with concurrent chemoradiotherapy (CCRT) was better than that of those who were treated with CCRT alone (p = 0.0340), whereas low-risk patients who received ICT + CCRT had a similar DMFS to those who only received CCRT. The outcomes we obtained were all verified in the three validation cohorts. The survival model can be used as a reliable prognostic tool for NPC patients and is helpful to determine patients who will benefit from ICT. Frontiers Media S.A. 2020-09-11 /pmc/articles/PMC7518313/ /pubmed/33042831 http://dx.doi.org/10.3389/fonc.2020.537318 Text en Copyright © 2020 Chen, Cao, Jing, Xia, Ke, Xiang, Liu, Qiang, Liang, Li, Gao, Li, Miao, Liu, Cai, Lv, Guo, Li and Lv. 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
Chen, Xi
Cao, Xun
Jing, Bingzhong
Xia, Weixiong
Ke, Liangru
Xiang, Yanqun
Liu, Kuiyuan
Qiang, Mengyun
Liang, Chixiong
Li, Jianpeng
Gao, Mingyong
Li, Wangzhong
Miao, Jingjing
Liu, Guoying
Cai, Zhuochen
Lv, Shuhui
Guo, Xiang
Li, Chaofeng
Lv, Xing
Prognostic and Treatment Guiding Significance of MRI-Based Tumor Burden Features and Nodal Necrosis in Nasopharyngeal Carcinoma
title Prognostic and Treatment Guiding Significance of MRI-Based Tumor Burden Features and Nodal Necrosis in Nasopharyngeal Carcinoma
title_full Prognostic and Treatment Guiding Significance of MRI-Based Tumor Burden Features and Nodal Necrosis in Nasopharyngeal Carcinoma
title_fullStr Prognostic and Treatment Guiding Significance of MRI-Based Tumor Burden Features and Nodal Necrosis in Nasopharyngeal Carcinoma
title_full_unstemmed Prognostic and Treatment Guiding Significance of MRI-Based Tumor Burden Features and Nodal Necrosis in Nasopharyngeal Carcinoma
title_short Prognostic and Treatment Guiding Significance of MRI-Based Tumor Burden Features and Nodal Necrosis in Nasopharyngeal Carcinoma
title_sort prognostic and treatment guiding significance of mri-based tumor burden features and nodal necrosis in nasopharyngeal carcinoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518313/
https://www.ncbi.nlm.nih.gov/pubmed/33042831
http://dx.doi.org/10.3389/fonc.2020.537318
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