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An overall survival predictive nomogram to identify high-risk patients among locoregionally advanced nasopharyngeal carcinoma: Developed based on the SEER database and validated institutionally
OBJECTIVE: Locoregionally advanced nasopharyngeal carcinoma (LA-NPC) patients, even at the same stage, have different prognoses. We aim to construct a prognostic nomogram for predicting the overall survival (OS) to identify the high-risk LA-NPC patients. MATERIALS AND METHODS: Histologically diagnos...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062447/ https://www.ncbi.nlm.nih.gov/pubmed/37007141 http://dx.doi.org/10.3389/fonc.2023.1083713 |
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author | Lin, Yinbing Chen, Jiechen Wang, Xiao Chen, Sijie Yang, Yizhou Hong, Yingji Lin, Zhixiong Yang, Zhining |
author_facet | Lin, Yinbing Chen, Jiechen Wang, Xiao Chen, Sijie Yang, Yizhou Hong, Yingji Lin, Zhixiong Yang, Zhining |
author_sort | Lin, Yinbing |
collection | PubMed |
description | OBJECTIVE: Locoregionally advanced nasopharyngeal carcinoma (LA-NPC) patients, even at the same stage, have different prognoses. We aim to construct a prognostic nomogram for predicting the overall survival (OS) to identify the high-risk LA-NPC patients. MATERIALS AND METHODS: Histologically diagnosed WHO type II and type III LA-NPC patients in the Surveillance, Epidemiology, and End Results (SEER) database were enrolled as the training cohort (n= 421), and LA-NPC patients from Shantou University Medical College Cancer Hospital (SUMCCH) served as the external validation cohort (n= 763). Variables were determined in the training cohort through Cox regression to form a prognostic OS nomogram, which was verified in the validation cohort, and compared with traditional clinical staging using the concordance index (C-index), Kaplan–Meier curves, calibration curves and decision curve analysis (DCA). Patients with scores higher than the specific cut-off value determined by the nomogram were defined as high-risk patients. Subgroup analyses and high-risk group determinants were explored. RESULTS: Our nomogram had a higher C-index than the traditional clinical staging method (0.67 vs. 0.60, p<0.001). Good agreement between the nomogram-predicted and actual survival were shown in the calibration curves and DCA, indicating a clinical benefit of the nomogram. High-risk patients identified by our nomogram had worse prognosis than the other groups, with a 5-year overall survival (OS) of 60.4%. Elderly patients at advanced stage and without chemotherapy had a tendency for high risk than the other patients. CONCLUSIONS: Our OS predictive nomogram for LA-NPC patients is reliable to identify high-risk patients. |
format | Online Article Text |
id | pubmed-10062447 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100624472023-03-31 An overall survival predictive nomogram to identify high-risk patients among locoregionally advanced nasopharyngeal carcinoma: Developed based on the SEER database and validated institutionally Lin, Yinbing Chen, Jiechen Wang, Xiao Chen, Sijie Yang, Yizhou Hong, Yingji Lin, Zhixiong Yang, Zhining Front Oncol Oncology OBJECTIVE: Locoregionally advanced nasopharyngeal carcinoma (LA-NPC) patients, even at the same stage, have different prognoses. We aim to construct a prognostic nomogram for predicting the overall survival (OS) to identify the high-risk LA-NPC patients. MATERIALS AND METHODS: Histologically diagnosed WHO type II and type III LA-NPC patients in the Surveillance, Epidemiology, and End Results (SEER) database were enrolled as the training cohort (n= 421), and LA-NPC patients from Shantou University Medical College Cancer Hospital (SUMCCH) served as the external validation cohort (n= 763). Variables were determined in the training cohort through Cox regression to form a prognostic OS nomogram, which was verified in the validation cohort, and compared with traditional clinical staging using the concordance index (C-index), Kaplan–Meier curves, calibration curves and decision curve analysis (DCA). Patients with scores higher than the specific cut-off value determined by the nomogram were defined as high-risk patients. Subgroup analyses and high-risk group determinants were explored. RESULTS: Our nomogram had a higher C-index than the traditional clinical staging method (0.67 vs. 0.60, p<0.001). Good agreement between the nomogram-predicted and actual survival were shown in the calibration curves and DCA, indicating a clinical benefit of the nomogram. High-risk patients identified by our nomogram had worse prognosis than the other groups, with a 5-year overall survival (OS) of 60.4%. Elderly patients at advanced stage and without chemotherapy had a tendency for high risk than the other patients. CONCLUSIONS: Our OS predictive nomogram for LA-NPC patients is reliable to identify high-risk patients. Frontiers Media S.A. 2023-03-16 /pmc/articles/PMC10062447/ /pubmed/37007141 http://dx.doi.org/10.3389/fonc.2023.1083713 Text en Copyright © 2023 Lin, Chen, Wang, Chen, Yang, Hong, Lin and Yang https://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 Lin, Yinbing Chen, Jiechen Wang, Xiao Chen, Sijie Yang, Yizhou Hong, Yingji Lin, Zhixiong Yang, Zhining An overall survival predictive nomogram to identify high-risk patients among locoregionally advanced nasopharyngeal carcinoma: Developed based on the SEER database and validated institutionally |
title | An overall survival predictive nomogram to identify high-risk patients among locoregionally advanced nasopharyngeal carcinoma: Developed based on the SEER database and validated institutionally |
title_full | An overall survival predictive nomogram to identify high-risk patients among locoregionally advanced nasopharyngeal carcinoma: Developed based on the SEER database and validated institutionally |
title_fullStr | An overall survival predictive nomogram to identify high-risk patients among locoregionally advanced nasopharyngeal carcinoma: Developed based on the SEER database and validated institutionally |
title_full_unstemmed | An overall survival predictive nomogram to identify high-risk patients among locoregionally advanced nasopharyngeal carcinoma: Developed based on the SEER database and validated institutionally |
title_short | An overall survival predictive nomogram to identify high-risk patients among locoregionally advanced nasopharyngeal carcinoma: Developed based on the SEER database and validated institutionally |
title_sort | overall survival predictive nomogram to identify high-risk patients among locoregionally advanced nasopharyngeal carcinoma: developed based on the seer database and validated institutionally |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062447/ https://www.ncbi.nlm.nih.gov/pubmed/37007141 http://dx.doi.org/10.3389/fonc.2023.1083713 |
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