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

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...

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Autor principal: Hanin, Leonid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3756365/
https://www.ncbi.nlm.nih.gov/pubmed/24212619
http://dx.doi.org/10.3390/cancers3010340
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author Hanin, Leonid
author_facet Hanin, Leonid
author_sort Hanin, Leonid
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description 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.
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spelling pubmed-37563652013-09-04 Why Victory in the War on Cancer Remains Elusive: Biomedical Hypotheses and Mathematical Models Hanin, Leonid Cancers (Basel) Review 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. Molecular Diversity Preservation International (MDPI) 2011-01-17 /pmc/articles/PMC3756365/ /pubmed/24212619 http://dx.doi.org/10.3390/cancers3010340 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/)
spellingShingle Review
Hanin, Leonid
Why Victory in the War on Cancer Remains Elusive: Biomedical Hypotheses and Mathematical Models
title Why Victory in the War on Cancer Remains Elusive: Biomedical Hypotheses and Mathematical Models
title_full Why Victory in the War on Cancer Remains Elusive: Biomedical Hypotheses and Mathematical Models
title_fullStr Why Victory in the War on Cancer Remains Elusive: Biomedical Hypotheses and Mathematical Models
title_full_unstemmed Why Victory in the War on Cancer Remains Elusive: Biomedical Hypotheses and Mathematical Models
title_short Why Victory in the War on Cancer Remains Elusive: Biomedical Hypotheses and Mathematical Models
title_sort why victory in the war on cancer remains elusive: biomedical hypotheses and mathematical models
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3756365/
https://www.ncbi.nlm.nih.gov/pubmed/24212619
http://dx.doi.org/10.3390/cancers3010340
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