Easy-to-use clinical tool for survival estimation in Ewing sarcoma at diagnosis and after surgery.

ABSTRACT: Accurate survival estimations in Ewing sarcoma are necessary to develop risk- and response adaptive treatment strategies allowing for early decision-making. We aim to develop an easy-to-use survival estimation tool from diagnosis and surgery. A retrospective study of 1314 Ewing sarcoma patients was performed. Associations between prognostic variables at diagnosis/surgery and overall survival (OS), were investigated using Kaplan-Meier and multivariate Cox models. Predictive accuracy was evaluated by cross-validation and Harrell C-statistics. Median follow-up was 7.9 years (95%CI 7.6-8.3). Independent prognostic factors at diagnosis were age, volume, primary tumor localization and disease extent. 5 risk categories (A-E) were identified with 5-year OS of 88% (86-94), 69% (64-74), 57% (50-64),

SUBMITTER: Bosma SE 

PROVIDER: S-EPMC6662666 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature