World Journal of Surgery

, 35:2417 | Cite as

Large Clinical Experience of Primary Angiosarcoma of the Breast in a Single Korean Medical Institute

  • Soo Youn Bae
  • Min-Young Choi
  • Dong Hui Cho
  • Jeong Eon LeeEmail author
  • Seok Jin Nam
  • Jung-Hyun Yang



Angiosarcoma of the breast is rare. The purpose of the present study was to evaluate the clinicopathologic characteristics and the clinical outcomes of patients with primary breast angiosarcoma.


We analyzed the clinicopathologic factors of patients with angiosarcoma of the breast treated between 1997 and 2010 at the Samsung Medical Center. We reviewed the related demographic data, preoperative imaging studies, method of histologic confirmation, tumor size, histologic grades, status of hormonal receptors, treatment modality, and survival data.


Nine women with angiosarcoma of the breast were identified. The median age of patients with primary angiosarcoma of the breast at diagnosis was 31 years (range: 19–63 years), and the median tumor size was 9.0 cm (range: 3.5–10.7 cm). Seven patients (77.7%) died within a median follow-up of 46.7 months (range: 3.9–63.3 months), and all deaths were directly attributed to angiosarcoma. Overall, the median time from diagnosis of angiosarcoma to death was 46.8 months (range: 8.21–63.3 months). The 5 year overall survival with angiosarcoma was 42.9%.


Primary angiosarcoma of the breast is a rare malignancy with a poor prognosis, even with complete resection. Chemotherapy and radiation therapy have limited value as treatments to date. Total mastectomy appears to be the most appropriate and beneficial treatment. More aggressive surgical management should be considered, and future clinical research should explore the most appropriate adjuvant therapy in the treatment of angiosarcoma.


Triple Negative Breast Cancer Angiosarcoma Total Mastectomy Primary Angiosarcoma Future Clinical Research 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This study was supported by a grant of the Korea Healthcare Technology R&D Project, Ministry for Health & Welfare Affairs, Republic of Korea (A092255).


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Copyright information

© Société Internationale de Chirurgie 2011

Authors and Affiliations

  • Soo Youn Bae
    • 1
  • Min-Young Choi
    • 2
  • Dong Hui Cho
    • 2
  • Jeong Eon Lee
    • 2
    Email author
  • Seok Jin Nam
    • 2
  • Jung-Hyun Yang
    • 1
  1. 1.Department of SurgeryKonkuk University Medical Center, Konkuk University School of MedicineSeoulRepublic of Korea
  2. 2.Department of SurgerySamsung Medical Center, Sungkyunkwan University School of MedicineSeoulRepublic of Korea

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