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New Concepts in Breast Cancer Emerge from Analyzing Clinical Data Using Numerical Algorithms
Children’s Hospital and Harvard Medical School, Karp Family Laboratories, 300 Longwood Avenue, Boston, MA 02115, USA
Received: 6 November 2008; in revised form: / Accepted: 10 January 2009 / Published: 20 January 2009
Abstract: A small international group has recently challenged fundamental concepts in breast cancer. As a guiding principle in therapy, it has long been assumed that breast cancer growth is continuous. However, this group suggests tumor growth commonly includes extended periods of quasi-stable dormancy. Furthermore, surgery to remove the primary tumor often awakens distant dormant micrometastases. Accordingly, over half of all relapses in breast cancer are accelerated in this manner. This paper describes how a numerical algorithm was used to come to these conclusions. Based on these findings, a dormancy preservation therapy is proposed.
Keywords: Breast cancer; quasi-stable dormancy; surgery-induced angiogenesis; dormancy preservation therapy
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MDPI and ACS Style
Retsky, M. New Concepts in Breast Cancer Emerge from Analyzing Clinical Data Using Numerical Algorithms. Int. J. Environ. Res. Public Health 2009, 6, 329-348.
Retsky M. New Concepts in Breast Cancer Emerge from Analyzing Clinical Data Using Numerical Algorithms. International Journal of Environmental Research and Public Health. 2009; 6(1):329-348.
Retsky, Michael. 2009. "New Concepts in Breast Cancer Emerge from Analyzing Clinical Data Using Numerical Algorithms." Int. J. Environ. Res. Public Health 6, no. 1: 329-348.