Identification of Discrete Prognostic Groups in Ewing Sarcoma

摘要: Background Although multiple prognostic variables have been proposed for Ewing sarcoma (EWS), little work has done to further categorize these into groups risk classification. Procedure We derived initial from 2,124 patients with EWS in the SEER database. We constructed a multivariable recursive partitioning model of overall survival using following covariates: age; stage; race/ethnicity; sex; axial primary; pelvic and bone or soft tissue primary. Based on this model, we identified estimated 5-year each group Kaplan–Meier methods. then applied 1,680 enrolled COG clinical trials. Results A five significantly different survival: (i) localized, age <18 years, non-pelvic (ii) <18, primary ≥18, white, non-Hispanic; (iii) all races/ethnicities other than (iv) metastatic, <18; (v) ≥18. These were dataset showed event-free based upon classification system (P < 0.0001). A sub-analysis treated ifosfamide etoposide as component therapy evaluated findings receiving contemporary therapy. Conclusions Recursive analysis yields discrete that provide valuable information clinicians determining an individual patient's death. may enable future trials adjust treatment according individualized risk. Pediatr Blood Cancer © 2015 Wiley Periodicals, Inc.