BackgroundRhabdomyosarcoma (RMS) is a rare malignant soft tissue sarcoma with a poor outcome and unclear prognostic factors. The purpose of this study was to analyze the prognostic postoperative survival factors among patients with RMS of the limbs.MethodsPostoperative data on patients with RMS of the limbs from 1983 to 2013 were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database of the US National Cancer Institute. Both overall survival (OS) and cancer-specific survival (CSS) were assessed using the Kaplan–Meier method (to obtain OS and CSS curves) and a Cox proportional hazards regression model.ResultsIn total, 385 cases were obtained from the SEER database. The 5- and 10-year OS rates of the entire group were 51.5% and 42.2%, respectively. The 5- and 10-year CSS rates were 56.7% and 50.7%, respectively. Univariate analysis revealed that age, location, tumor stage, tumor size, and radiation therapy (RT) were associated with OS. Age, tumor stage, tumor size, and RT were associated with CSS. Age, tumor stage, tumor size, and RT were also independent predictors of both OS and CSS.ConclusionYoung age, no metastasis at presentation, smaller tumor size, and RT are favorable factors for prolonging survival among patients with RMS of the limbs after surgery.
Background
Angiosarcomas (AS) have poor prognosis and often metastasize to distant sites. The potential predictors of metastatic angiosarcomas (MAS) have not been extensively investigated. The main objective of this study was to identify survival predictors of MAS.
Methods
Surveillance, Epidemiology, and End Results (SEER) datasets were used to identify patients with MAS from 2010 to 2016. Risk predictors were determined with the aid of Kaplan-Meier and Cox regression model analyses.
Results
A total of 284 MAS patients met the study entry criteria. Among these, 121 patients (42.6%) were diagnosed with metastasis in bone, 26 in brain (9.2%), 86 in liver (30.3%) and 171 in lung (60.2%). Overall, 96 patients (33.8%) had two or more metastatic sites. The 1- and 3-year overall survival (OS) rates were 20.8 and 3.8% while 1- and 3-year cancer-specific survival (CSS) rates were 22.0 and 5.2%, respectively. Cox regression analysis revealed chemotherapy, radiation treatment (RT) and tumor size ≤10 cm as independent favorable predictors of OS. In terms of CSS, tumor grade IV, tumor size > 10 cm and absence of chemotherapy were independent adverse predictors. Surgery did not prolong survival outcomes (both OS and CSS) in the current cohort.
Conclusion
MAS is associated with extremely poor survival. Chemotherapy, RT, and tumor size are independent predictors of OS. Chemotherapy and tumor size are independent prognostic factors of CSS. Chemotherapy is therefore recommended as the preferred treatment option for MAS patients.
Melanoma can spread to the bone by metastasis and is relevant to a poor outcome. However, because of the rarity of melanoma patients with bone metastasis, the prognostic postoperative survival factors of them have not been elucidated. The aim of this special population-based cohort was to elucidate the prognostic factors associated with postoperative survival. The Surveillance, Epidemiology, and End Results database was used to extract postoperative survival data relating to patients with melanoma and bone metastasis at diagnosis between 2010 and 2016, along with data on a range of potential postoperative prognostic factors. We then investigated the potential postoperative prognostic roles of these factors using a Cox regression model and the Kaplan-Meier analysis. In all, the Surveillance, Epidemiology, and End Results database included 186 cases. Regarding overall survival, the 1-, 3-, and 5-year overall survival rates for the entire cohort were 36.2%, 15.4%, and 9.5%, respectively. Regarding cancer-specific survival, the 1-, 3-, and 5-year cancer-specific survival rates were 42.0%, 23.2%, and 16.6%, respectively. Within a cohort of melanoma patients with bone metastasis after surgery, our analysis showed that a smaller tumor size and the lack of metastases at other sites were predictors of survival.
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