Risk factors of secondary cancer in nasopharyngeal carcinoma patients after radiotherapy

Abstract

Purpose: To identify risk factors of secondary cancer in nasopharyngeal carcinoma (NPC) patients after radiotherapy. Materials and methods:The data of NPC patients with secondary cancer were extracted from the Surveillance, Epidemiology, and End Results database from 2004 to 2016. Univariate and multivariate logistic regression analysis was performed to identify risk factors of secondary cancer. Risk factors selected from the multivariable logistic regression analysis were used to build a predicting model. Results: A total of 3931 patients were included: 329 (8.37%) patients developed secondary cancers and 3602 (91.63%) patients did not have secondary cancers. Univariate logistic regression analysis revealed that age, race, and the American Joint Committee on Cancer (AJCC) stage were risk factors of secondary cancer. Multivariable analysis demonstrated that age [Odds ratio (OR) = 1.03, P < 0.001], race (OR = 1.17, P = 0.010), AJCC stage (OR = 0.82, P = 0.002), and chemotherapy (OR = 1.55, P = 0.028) were independent risk factors of secondary cancer. Age, race, AJCC stage, and chemotherapy were entered into a nomogram for predicting secondary cancer. The area under the ROC curve of the nomogram was 0.645 [95% confidence interval (CI): 0.617-0.673]. The decision curve showed that if the threshold probability is between 4% and 25%, using the nomogram added more benefit than either the treat-all-patients scheme or the treat-none scheme. Conclusion: Age, race, AJCC stage, and chemotherapy were independent risk factors of secondary cancer in nasopharyngeal carcinoma patients after radiotherapy.

Contribution of age at diagnosis to cancer-specific survival of nasopharyngeal carcinoma patients receiving radiotherapy

“…Although several studies have assessed the age at diagnosis as a continuous variable of survival and suggested that age at diagnosis is a continuous independent prognostic factor, [ 18 , 19 ] it is difficult to use age at diagnosis as a continuous variable in clinical practice. Therefore, oncologists require a more appropriate cutoff value to assess prognosis.…”