Abstract

BACKGROUND: Clear cell sarcoma (CCS) of soft tissue, or malignant melanoma of soft parts, is a rare disease. We aimed to identify prognostic factors linked to patient survival in CCS by analyzing demographic and clinical features using the Surveillance, Epidemiology, and End Results (SEER) database. This study aimed to identify prognostic factors associated with CCS that would be of clinical value.

MATERIAL AND METHODS: We collected data from patients diagnosed with CCS between 1973 and 2009 from the SEER database. The Kaplan-Meier method and Cox regression analysis were performed to identify prognostic factors for patient survival.

RESULTS: A total of 175 patients with CCS were identified from the SEER database. The 5-year survival rate was 62.9%, and the 10-year survival rate was 51.3%. Patients with CCS with local stage, and with tumor size ≤3 cm were more likely to have good survival rates.

CONCLUSIONS: The findings from this study showed that the identifiable prognostic factors in patients with CCS were stage and tumor size. Local stage and tumor size ≤3 cm were favorable prognostic factors for patient survival in CCS.

Keywords: Sarcoma, Clear Cell, SEER Program, Survival Analysis, Databases as Topic, Disease-Free Survival, Incidence, Kaplan-Meier Estimate, Middle Aged, Multivariate Analysis, Population Surveillance, Prognosis, Risk Factors, Survival Rate, Tumor Burden