Breast cancer is the most common type of cancer for women in the world. According to Bray et al. (2004), it is responsible for over one million of the estimated ten million neoplasms diagnosed worldwide each year. Globally, it is also the leading cause of cancer deaths among women, responsible for 375,000 deaths in the year 2000 as documented by Ferlay et al. (2001). Major causes for these breast cancer-related deaths, as indicated by Zieglschmid et al. (2005) have been metastases and recurrences. As a result, the ability to predict an individual patient’s risk of metastasis and recurrence after surgical resection of the primary tumor is of great importance. This ability would also allow for the planning of optimized adjuvant therapies as well as monitoring the efficacy of treatments.
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Yie, Sm. (2008). Prediction of Metastasis and Recurrence of Breast Carcinoma: Detection of Survivin-Expressing Circulating Cancer Cells. In: Hayat, M.A. (eds) Methods of Cancer Diagnosis, Therapy and Prognosis. Methods of Cancer Diagnosis, Therapy and Prognosis, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8369-3_13
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