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Published on: December 9, 2016
Risk Factors for Metastasis at Initial Diagnosis With Ewing Sarcoma
Conglin Ye1, Min Dai1, Bin Zhang1
1Department of Orthopedics, Artificial Joints Engineering and Technology Research Center of Jiangxi Province, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Adults aged 18-59 diagnosed with Ewing sarcoma, especially those with axial/cranial bone tumors or large tumors (>8cm), face a higher risk of metastasis at diagnosis. Lung metastasis alone indicates a better prognosis.
Area of Science:
- Pediatric Oncology
- Medical Imaging
- Biostatistics
Background:
- Ewing sarcoma is a rare bone cancer primarily affecting children and young adults.
- Metastasis at initial diagnosis significantly impacts prognosis and treatment strategies.
- Identifying predictive risk factors is crucial for early intervention.
Purpose of the Study:
- To identify demographic and clinical risk factors associated with metastasis at initial diagnosis in Ewing sarcoma patients.
- To analyze the predictive value of age, tumor location, and tumor size for distant metastasis.
- To compare survival outcomes based on metastatic sites.
Main Methods:
- Retrospective analysis of 1,066 Ewing sarcoma patients from the SEER database (2004-2015).
- Descriptive statistics, univariate and multivariate logistic regression models to assess risk factors.
- Kaplan-Meier analysis for survival comparison across different metastatic sites.
Main Results:
- 31.1% of patients presented with metastasis at initial diagnosis.
- Age 18-59 (OR=1.43), axial/cranial bone tumor location (OR=1.38), and tumor size >8 cm (OR=2.55) were significant predictors of metastasis.
- Patients with lung metastasis alone had a better prognosis than those with bone metastasis or multiple metastatic sites (p<0.01).
Conclusions:
- Ewing sarcoma patients aged 18-59, with axial/cranial bone tumors, or tumors >8 cm have a higher likelihood of metastatic disease at diagnosis.
- These factors are critical for risk stratification and treatment planning.
- Understanding metastatic patterns aids in tailoring prognostic assessments.
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