Cancers 2011, 3(1), 340-367; doi:10.3390/cancers3010340
Review

Why Victory in the War on Cancer Remains Elusive: Biomedical Hypotheses and Mathematical Models

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Received: 3 December 2010; in revised form: 6 January 2011 / Accepted: 11 January 2011 / Published: 17 January 2011
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: We discuss philosophical, methodological, and biomedical grounds for the traditional paradigm of cancer and some of its critical flaws. We also review some potentially fruitful approaches to understanding cancer and its treatment. This includes the new paradigm of cancer that was developed over the last 15 years by Michael Retsky, Michael Baum, Romano Demicheli, Isaac Gukas, William Hrushesky and their colleagues on the basis of earlier pioneering work of Bernard Fisher and Judah Folkman. Next, we highlight the unique and pivotal role of mathematical modeling in testing biomedical hypotheses about the natural history of cancer and the effects of its treatment, elaborate on model selection criteria, and mention some methodological pitfalls. Finally, we describe a specific mathematical model of cancer progression that supports all the main postulates of the new paradigm of cancer when applied to the natural history of a particular breast cancer patient and fit to the observables.
Keywords: angiogenesis; breast cancer; cancer dormancy; mathematical model; metastasis; model identifiability; poisson process
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MDPI and ACS Style

Hanin, L. Why Victory in the War on Cancer Remains Elusive: Biomedical Hypotheses and Mathematical Models. Cancers 2011, 3, 340-367.

AMA Style

Hanin L. Why Victory in the War on Cancer Remains Elusive: Biomedical Hypotheses and Mathematical Models. Cancers. 2011; 3(1):340-367.

Chicago/Turabian Style

Hanin, Leonid. 2011. "Why Victory in the War on Cancer Remains Elusive: Biomedical Hypotheses and Mathematical Models." Cancers 3, no. 1: 340-367.

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