A prognostic nomogram model for locally advanced nasopharyngeal carcinoma in Xinjiang region
10.3760/cma.j.issn.0254-5098.2021.04.004
- VernacularTitle:新疆地区局部晚期鼻咽癌Nomogram预后模型研究
- Author:
Min ZHAO
1
;
Kai LIU
;
Ruozheng WANG
Author Information
1. 新疆医科大学附属肿瘤医院（第三临床医学院）中国医学科学院肿瘤免疫与放疗研究重点实验室 新疆肿瘤学重点实验室，乌鲁木齐 830011
- Keywords:
Nasopharyngeal carcinoma;
Nomogram;
Epstein-Barr virus;
Prognosis
- From:
Chinese Journal of Radiological Medicine and Protection
2021;41(4):259-264
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the prognostic factors of patients with locally advanced nasopharyngeal carcinoma after treatment, to develop and validate the prognostic Nomogram model.Methods:From July 2010 to June 2017, 317 patients with nasopharyngeal carcinoma who were treated with definitive intensity modulated radiation therapy were selected. The regression method of least absolute shrinkage and selection operator (LASSO) was used for univariate screening, and Cox multivariate regression analysis was performed. The prognostic Nomogram model was constructed for locally advanced nasopharyngeal carcinoma patients. C-index, calibration curve, Net Reclassification Index (NRI), integrated discrimination improvement (IDI) were used to validate and evaluate the model between Nomogram and TNM staging system. The risk evaluated through nomogram was stratified by decision tree algorithm, and the survival rate was calculated by Kaplan-Meier method and compared by Log-rank test.Results:T stage, N stage, LDH, GTVnd and pre-treated plasma EBV-DNA copy (EBV-DNA) were correlated with total survival (OS). All the above factors were included in prognostic Nomogram model, and C-index was 0.784 (95% CI: 0.736-0.831, P<0.01). The calibration curve showed that the OS probability predicted by Nomogram model was in good agreement with the actual OS, and the result were verified in the validation cohort. Furthermore, the accuracy of the Nomogram model for OS predicting was superior to AJCC 8 th version staging system judged by NRI and IDI. According to the Nomogram score, patients can be divided into four subgroups with different risk by decision tree algorithm. K-M survival curve showed that the difference of OS between different groups was statistically significant ( χ2=113.21, P<0.01), and patients in high-risk group can benefit from induction chemotherapy combined with concurrent chemoradiotherapy in survival. Conclusions:The Nomogram model established by our research group can provide information on diagnosis, treatment and prognosis evaluation for locally advanced nasopharyngeal carcinoma patients in this area.
