Institutionally validated nomogram predicting prognosis for older patients with nonmetastatic nasopharyngeal carcinoma

被引:1
|
作者
Yan, Chao [1 ,2 ,3 ]
Tu, Ziwei [1 ,2 ,3 ]
Zhang, Zixian [1 ,2 ,3 ]
Ouyang, Xi [1 ,2 ,3 ]
Li, Dou [1 ,2 ,3 ]
Peng, Shiyi [1 ,2 ,3 ]
Zhong, Jun [1 ,2 ,3 ]
机构
[1] Nanchang Univ, NHC Key Lab Personalized Diag & Treatment Nasopha, Jiangxi Canc Hosp, Nanchang, Jiangxi, Peoples R China
[2] Nanchang Univ, Jiangxi Key Lab Translat Canc Res, Jiangxi Canc Hosp, Nanchang, Jiangxi, Peoples R China
[3] Nanchang Univ, Dept Radiat Oncol, Jiangxi Canc Hosp, 519 East Beijing Rd, Nanchang 330029, Jiangxi, Peoples R China
关键词
nasopharyngeal carcinoma; nomogram; older adult; overall survival; SEER; INTENSITY-MODULATED RADIOTHERAPY; CONCURRENT CHEMORADIOTHERAPY; ELDERLY-PATIENTS; SURVIVAL; COMORBIDITY; OUTCOMES; IMPACT; TOXICITIES; CANCER; COHORT;
D O I
10.2217/fon-2021-1121
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Plain language summary It is well known that more than 80% of newly diagnosed NPC patients are nonmetastatic. Older adult patients with nonmetastatic nasopharyngeal carcinoma have a poor chance of survival relative to younger patients. With the world's aging population, the treatment of older adults with nonmetastatic NPC has attracted more attention from clinicians. The use of the American Joint Committee on Cancer staging system alone has significant shortcomings in predicting survival outcomes. Therefore, the authors developed a predictive tool by combining more prognostic factors with a specific multivariable statistical model, including age, tumor stage, node stage and treatment type, which is helpful for clinicians to more accurately evaluate the prognosis of patients. Aim: Older adult patients with nonmetastatic nasopharyngeal carcinoma (NPC) have poor outcomes relative to younger patients. The authors' group established a nomogram to predict the overall survival of older adults with NPC and inform patient management. Methods: Cases with NPC (n = 782) were enrolled in this study; clinical data in the Surveillance, Epidemiology, and End Results database from 2010 to 2015 served as the training cohort (n = 657), and patients from Jiangxi Cancer Hospital (n = 125) served as the external validation cohort. Results: Training and external validation cohort C-index, receiver operator characteristics curves and calibration curves showed that our nomogram has great predictive ability. Conclusions: Compared with tumor-node-metastasis staging, this nomogram can help clinicians better predict the prognosis of older adults with nonmetastatic NPC.
引用
收藏
页码:1829 / 1838
页数:10
相关论文
共 50 条
  • [1] Development of a Nomogram Model for Treatment of Nonmetastatic Nasopharyngeal Carcinoma
    Zhang, Lu-Lu
    Xu, Fei
    Song, Di
    Huang, Meng-Yao
    Huang, Yong-Shi
    Deng, Qi-Ling
    Li, Yi-Yang
    Shao, Jian-Yong
    [J]. JAMA NETWORK OPEN, 2020, 3 (12)
  • [2] A Nomogram for the Prediction of Prognosis in Patients With Distant Metastases of Nasopharyngeal Carcinoma
    Zhao, Liang
    Lin, Qiuming
    Gu, Jianwei
    Zhang, Huan
    Chen, Haojun
    Lin, Qin
    [J]. FRONTIERS IN ONCOLOGY, 2019, 9
  • [3] A nomogram for predicting survival of nasopharyngeal carcinoma patients with metachronous metastasis
    Zeng, Zixun
    Shen, Lujun
    Wang, Yue
    Shi, Feng
    Chen, Chen
    Wu, Ming
    Bai, Yutong
    Pan, Changchuan
    Xia, Yunfei
    Wu, Peihong
    Li, Wang
    [J]. MEDICINE, 2016, 95 (27)
  • [4] 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
    [J]. FRONTIERS IN ONCOLOGY, 2023, 13
  • [5] Nomogram and calculator for predicting the prognosis of patients with giant hepatocellular carcinoma
    Chen, Wanjin
    Cheng, Shengtao
    [J]. EXPERT REVIEW OF ANTICANCER THERAPY, 2024, 24 (08) : 781 - 788
  • [6] A radiomics nomogram for preoperatively predicting prognosis of patients in hepatocellular carcinoma
    Peng, Jie
    Qi, Xiaolong
    Zhang, Qifan
    Duan, Zhijiao
    Xu, Yikai
    Zhang, Jing
    Liu, Yanna
    Zhou, Jie
    Liu, Li
    [J]. TRANSLATIONAL CANCER RESEARCH, 2018, 7 (04) : 936 - +
  • [7] An Externally Validated Dynamic Nomogram for Predicting Unfavorable Prognosis in Patients With Aneurysmal Subarachnoid Hemorrhage
    Hu, Ping
    Xu, Yang
    Liu, Yangfan
    Li, Yuntao
    Ye, Liguo
    Zhang, Si
    Zhu, Xinyi
    Qi, Yangzhi
    Zhang, Huikai
    Sun, Qian
    Wang, Yixuan
    Deng, Gang
    Chen, Qianxue
    [J]. FRONTIERS IN NEUROLOGY, 2021, 12
  • [8] Nomogram for Predicting the Prognosis of Patients with Hepatocellular Carcinoma Presenting with Pulmonary Metastasis
    Zhou, Yongjie
    Zhou, Xin
    Ma, Jingqin
    Zhang, Wen
    Yan, Zhiping
    Luo, Jianjun
    [J]. CANCER MANAGEMENT AND RESEARCH, 2021, 13 : 2083 - 2094
  • [9] Development and internal validation of a nomogram based on peripheral blood inflammatory markers for predicting prognosis in nasopharyngeal carcinoma
    Lai, Jing
    Lin, Peixin
    Zhuang, Jiafeng
    Xie, Zhiwei
    Zhou, Hechao
    Yang, Donghong
    Chen, Zihong
    Jiang, Danxian
    Huang, Jing
    [J]. CANCER MEDICINE, 2024, 13 (07):
  • [10] Integrative radiopathomics model for predicting progression-free survival in patients with nonmetastatic nasopharyngeal carcinoma
    Hou, Jing
    Yi, Xiaochun
    Li, Handong
    Lu, Qiang
    Lin, Huashan
    Li, Junjun
    Zeng, Biao
    Yu, Xiaoping
    [J]. JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2024, 150 (09)