Aim:Anaplastic ependymoma is a rare tumor. Although this tumor is rare, it still has high research value. Based on current knowledge, articles on anaplastic ependymoma in the brain and spinal cord are extremely limited.
Material and Methods:We retrospectively extracted data of 305 patients with anaplastic ependymoma in the brain and spinal cord from the Surveillance, Epidemiology, and End Results database (SEER) between 1988 and 2015, which was analyzed in R software. The statistical significance indicators were identified by the COX regression analysis. The Nomogram visualized the model and was corrected by the C-index, AUC and calibration curve.
Results:The results of the analysis showed age and treatment were found to be statistical significance in this study. Based on this study, the model\'s C-index was 0.777, and the area under the curve (AUC) value of the time-dependent ROC curve at 2-Year, 3-Year, and 5-Year was 0.758, 0.775 and 0.788. These showed a good discriminatory ability. Finally, a nomogram was constructed. And the nomogram was validated by validation curve.
Conclusion:At last, the two risk factors (including age and treatment) were identified to the independent prognostic factors for patients with anaplastic ependyma in the spinal cord and brain. Meanwhile, our model can accurately assess the disease-specific survival rate of these patients, and can provide recommendations on treatment options.
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