Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783587378159419392 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7518313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chenxi prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT caoxun prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT jingbingzhong prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT xiaweixiong prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT keliangru prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT xiangyanqun prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT liukuiyuan prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT qiangmengyun prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT liangchixiong prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT lijianpeng prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT gaomingyong prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT liwangzhong prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT miaojingjing prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT liuguoying prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT caizhuochen prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT lvshuhui prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT guoxiang prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT lichaofeng prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma AT lvxing prognosticandtreatmentguidingsignificanceofmribasedtumorburdenfeaturesandnodalnecrosisinnasopharyngealcarcinoma |