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

Author:

Shi Jiaqi,Yang Jianing,Ma Xin,Wang Xu

Abstract

Abstract 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 < 0.001) had a higher risk of metastasis. ROC curves showed higher AUC (0.65) of combined model which incorporate these three factors to predict the presence of metastasis at diagnosis. In survival analysis, patients with older ages (11–20 years: HR = 1.549, 95%CI 1.144–2.099, p = 0.005; 21–30 years: HR = 1.808, 95%CI 1.278–2.556, p = 0.001; 31–49 years: HR = 3.481, 95%CI 2.379–5.094, p < 0.001; ≥ 50 years: HR = 4.307, 95%CI 2.648–7.006, p < 0.001) , larger tumor size (5–8 cm: HR = 1.386, 95%CI 1.005–1.991, p = 0.046; > 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.

Funder

Program of Shanghai Academic Research Leader

Publisher

Springer Science and Business Media LLC

Subject

Orthopedics and Sports Medicine,Surgery

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