Publication Abstract

Authors: Foley OW, Rauh-Hain JA, Clemmer J, Clark RM, Hall T, Diver EJ, Schorge JO, del Carmen MG

Title: Trends in the treatment of uterine leiomyosarcoma in the Medicare population.

Journal: Int J Gynecol Cancer 25(3):453-8

Date: 2015 Mar

Abstract: OBJECTIVE: Uterine leiomyosarcoma (LMS) is a relatively rare malignancy that is associated with a poor prognosis. The rarity of LMS has led to a lack of consensus regarding appropriate treatment. The goal of this study was to identify the role that chemotherapy and radiotherapy have played in the treatment of uterine LMS in the United States as well as the effectiveness of adjuvant treatment. MATERIALS/METHODS: We used the SEER (Surveillance, Epidemiology, and End Results)-Medicare database to gather information on uterine LMS patients older than the age of 66 years diagnosed between 1992 and 2009. Basic demographic and clinical characteristics were collected. A logistic regression model analysis was performed to determine predictors of treatment. Cox proportional hazards models were used to identify clinical parameters and treatment strategies associated with survival differences. RESULTS: Our final study group included 230 patients. We found that the rate of use of chemotherapy and radiotherapy in the treatment of patients with uterine LMS increased over the period investigated. However, we identified no significant survival advantage associated with either mode of therapy. The strongest predictor of survival was stage at diagnosis. The logistic regression model analysis revealed that age at diagnosis, treatment year, stage, and underlying health status were all independent predictors of chemotherapy. Age at diagnosis was also a predictor of radiation therapy. CONCLUSIONS: The increasing rates of chemotherapy and radiotherapy use in this population seem to be unfounded given the lack of survival benefit. Further investigation into alternative treatment regimens is merited. The prognostic significance of stage at diagnosis indicates the importance of improving early detection of uterine LMS.