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New Concepts in Breast Cancer Emerge from Analyzing Clinical Data Using Numerical Algorithms

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  • Michael Retsky

    (Children’s Hospital and Harvard Medical School, Karp Family Laboratories, 300 Longwood Avenue, Boston, MA 02115, USA)

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.

Suggested Citation

  • Michael Retsky, 2009. "New Concepts in Breast Cancer Emerge from Analyzing Clinical Data Using Numerical Algorithms," IJERPH, MDPI, vol. 6(1), pages 1-20, January.
    • Handle: RePEc:gam:jijerp:v:6:y:2009:i:1:p:329-348:d:3880
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    References listed on IDEAS

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    1. Judah Folkman & Raghu Kalluri, 2004. "Cancer without disease," Nature, Nature, vol. 427(6977), pages 787-787, February.
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