The aim of this study was to identify factors associated with five-year cancer-related mortality in patients with limb and trunk soft-tissue sarcoma (STS) and develop and validate machine learning algorithms in order to predict five-year cancer-related mortality in these patients. Demographic, clinicopathological, and treatment variables of limb and trunk STS patients in the Surveillance, Epidemiology, and End Results Program (SEER) database from 2004 to 2017 were analyzed. Multivariable logistic regression was used to determine factors significantly associated with five-year cancer-related mortality. Various machine learning models were developed and compared using area under the curve (AUC), calibration, and decision curve analysis. The model that performed best on the SEER testing data was further assessed to determine the variables most important in its predictive capacity. This model was externally validated using our institutional dataset.Aims
Methods
Time to treatment initiation (TTI) is generally defined as the time from the histological diagnosis of malignancy to the initiation of first definitive treatment. There is no consensus on the impact of TTI on the overall survival in patients with a soft-tissue sarcoma. The purpose of this study was to determine if an increased TTI is associated with overall survival in patients with a soft-tissue sarcoma, and to identify the factors associated with a prolonged TTI. We identified 23,786 patients from the National Cancer Database who had undergone definitive surgery between 2004 and 2015 for a localized high-grade soft-tissue sarcoma of the limbs or trunk. A Cox proportional hazards model was used to examine the relationship between a number of factors and overall survival. We calculated the incidence rate ratio (IRR) using negative binomial regression models to identify the factors that affected TTI.Aims
Methods
We identified eight patients of 2900 with a primary malignant bone tumour who had coexisting neurofibromatosis type 1. This was a much higher incidence than would be expected by chance. The patients had a mean age of 22.4 years (9 to 54): five were male. Two patients subsequently developed a second bone sarcoma, one of which was radiation induced. Four of the primary tumours were osteosarcomas, four were spindle-cell sarcomas and one a Ewing’s sarcoma. All the patients were treated with chemotherapy and surgery: six of the eight appear to be cured. This study suggests a possible relationship between neurofibromatosis type 1 and the development of a bone sarcoma, the increased risk being estimated at eight times that of the normal population. We recommend that further research into this possible link should be considered.
