Myxofibrosarcoma (MFS) is reported to have a higher risk of local recurrence (LR) following definitive surgical excision relative to other soft tissue sarcomas. We reviewed our clinical experience treating MFS to investigate predictors of LR.
We retrospectively reviewed treatment outcomes for MFS patients treated at our institution between 1999 and 2015. A total of 52 patients were identified. Median age was 65 years (range, 21 to 86 y). Site of disease was: upper extremity (27%), lower extremity (46%), trunk (15%), pelvic (8%), and head and neck (4%). Patients had low, intermediate, high-grade, and unknown grade in: 23%, 8%, 67%, and 2% of tumors, respectively. Tumors were categorized as ≤5 cm (35%), >5 cm (56%), or unknown size (9%). In total, 71% received radiotherapy: 19% preoperative, 50% postoperative, and 2% both. All patients underwent surgery. Margins were negative in 71%, close/positive in 21%, and unknown in 8%. In total, 27% of patients received chemotherapy. Univariate Cox regression analysis was utilized to determine associations between clinical and treatment factors with LR.
Median follow-up time was 2.9 years (range, 0.4 to 14.3 y). The 3-year actuarial LR, distant metastasis, and overall survival were: 31%, 15%, and 87%, respectively. Predictors of LR were patient age greater than or equal to the median of 65 years (hazard ratio, 13.46, 95% confidence interval, 1.71-106.18, P=0.013), and having close/positive tumor margins (hazard ratio, 3.4, 95% confidence interval, 1-11.53, P=0.049).
In this institutional series of MFS older age and positive/close margins were significantly associated with a higher risk of LR.
*David Geffen School of Medicine
Departments of †Radiation Oncology
§Hematology and Oncology
∥Pathology and Laboratory Medicine, University of California Los Angeles, Los Angeles, CA
The authors declare no conflicts of interest.
Reprints: Mitchell Kamrava, MD, Department of Radiation Oncology, University of California Los Angeles, 200 UCLA Medical Plaza Suite B265, Los Angeles, CA 90095. E-mail: MKamrava@mednet.ucla.edu.