Establishing a model for predicting recurrence and metastasis in patients with advanced nasopharyngeal carcinoma
10.3760/cma.j.cn114452-20230820-00066
- VernacularTitle:建立一种预测中晚期鼻咽癌患者复发转移的模型
- Author:
Xiang LI
1
;
Ailing ZHONG
;
Renquan LU
;
Lin GUO
Author Information
1. 复旦大学附属肿瘤医院检验科，复旦大学上海医学院肿瘤系，上海 200032
- Keywords:
Nasopharyngeal neoplasms;
Recurrence and metastasis;
Efficacy monitoring;
Survival analysis
- From:
Chinese Journal of Laboratory Medicine
2023;46(10):1059-1066
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To establish a risk assessment model for recurrence and metastasis in patients with advanced nasopharyngeal carcinoma.Methods:A survival follow-up study was conducted using a COX regression model to analyze 242 patients with advanced nasopharyngeal carcinoma who were treated for the first time in the Fudan University Shanghai Cancer Center from March 1, 2012 to August 31, 2020. The mean age was (48.33±11.13) years, with 178 males and 64 females. The mean survival was (3.39±1.42) years. According to the random number table method, the enrolled subjects were divided into two groups, including 192 cases in the modeling group and 50 cases in the validation group. Venous blood was collected from patients before treatment, after the first treatment and during the follow-up period after treatment. The blood cell classification and blood biochemical indicators were analyzed. T test and Chi-square test were used to analyze the difference in indicators in prognosis of patients with recurrence and metastasis as the outcome of the study. Multivariate COX regression analysis was used to screen out the independent prognostic factors affecting the recurrence and metastasis of nasopharyngeal carcinoma patients, and the Nomogram models of recurrence and metastasis risk of patients in 2 years, 4 years and 6 years were constructed. The model C-Index of the modeling group and the validation group were calculated to evaluate the performance of the predictive model.Results:White blood cells ( P=0.028), lymphocyte counts ( P<0.001), neutrophils ( P=0.001), platelets ( P=0.046), albumin ( P<0.001), neutrophil/lymphocyte ratio ( P<0.001), platelet/lymphocyte ratio ( P<0.001), lymphocyte/monocyte ratio ( P<0.001), systemic immune inflammatory response index ( P<0.001), systemic inflammatory response index ( P<0.001), and prognostic nutritional index ( P=0.004) had statistically significant differences in the efficacy monitoring of patients; through multivariate COX regression analysis, it was found that the platelet/lymphocyte ratio ( HR 2.537, 95% CI 1.439-4.473) and the prognostic nutritional index ( HR 0.462, 95% CI 0.236-0.903) are important factors to predict the risk of recurrence and metastasis of patients. Combining the above indicators, the Nomogram risk assessment model was established. The C index of the modeling group was 0.698, and the C index of the validation group was 0.739. The calibration curves of the two groups showed good consistency. Conclusion:The Nomogram evaluation model can accurately predict the risk of recurrence and metastasis in patients with nasopharyngeal carcinoma, and provide a theoretical basis for evaluating the prognosis of clinical treatment.
