Risk factors for metastasis and poor prognosis of Ewing sarcoma: a population based study.

BACKGROUND: This study is to determine the risk factors for metastasis of Ewing sarcoma (ES) patients in SEER database. Then explore clinicopathological factors associated with poor prognosis. Furthermore, develop the nomogram to predict the probability of overall survival and cancer-specific survival METHODS: Thus, we collected clinicopathological data of ES patients in SEER database, and then used chi-square test and logistic regression to determine risk factors associated to metastasis. We also did survival analysis including Kaplan-Meier curve and Cox proportional hazard model to explore the risk factors associated to overall survival and cancer-specific survival, and then developed the nomogram to visualize and quantify the probability of survival. RESULTS: After statistics, we find that patients with older ages (11-20 years old: OR = 1.517, 95% confidence interval [CI] 1.033-2.228, p = 0.034; 21-30 years old: OR = 1.659. 95%CI 1.054-2.610, p = 0.029), larger tumor size (> 8 cm: OR = 1.914, 95%CI 1.251-2.928, p = 0.003), and pelvic lesions (OR = 2.492, 95%CI 1.829-3.395, p /= 50 years: HR = 4.307, 95%CI 2.648-7.006, p 8 cm: HR = 1.877, 95%CI 1.376-2.561, p < 0.001), black race (HR = 2.104, 95%CI 1.296-3.416, p = 0.003), and wider extension (regional: HR = 1.373, 95%CI 1.033-1.823, p = 0.029; metastatic: HR = 3.259, 95%CI 2.425-4.379, p < 0.001) were associated with worse prognosis. Chemotherapy was associated with better prognosis (HR = 0.466, 95%CI 0.290-0.685, p < 0.001). The nomogram which developed by training set and aimed to predict OS and CSS showed good consistency with actual observed outcomes internally and externally. CONCLUSION: In conclusion, tumor size and primary site were associated with distant metastasis at diagnosis. Age, tumor size, primary site, tumor extent, and chemotherapy were associated with overall survival and cancer-specific survival. Nomogram could predict the probability of OS and CSS and showed good consistency with actual observed outcomes internally and externally.