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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Main Author: Leonid Hanin
Format: Article
Language:English
Published: MDPI AG 2011-01-01
Series:Cancers
Subjects:
Online Access:http://www.mdpi.com/2072-6694/3/1/340/
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spelling doaj-7ded31f4d3524c62b20d9f8d5f8a878a2020-11-24T23:00:20ZengMDPI AGCancers2072-66942011-01-013134036710.3390/cancers3010340Why Victory in the War on Cancer Remains Elusive: Biomedical Hypotheses and Mathematical ModelsLeonid HaninWe 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. http://www.mdpi.com/2072-6694/3/1/340/angiogenesisbreast cancercancer dormancymathematical modelmetastasismodel identifiabilitypoisson process
collection DOAJ
language English
format Article
sources DOAJ
author Leonid Hanin
spellingShingle Leonid Hanin
Why Victory in the War on Cancer Remains Elusive: Biomedical Hypotheses and Mathematical Models
Cancers
angiogenesis
breast cancer
cancer dormancy
mathematical model
metastasis
model identifiability
poisson process
author_facet Leonid Hanin
author_sort Leonid Hanin
title 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_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_sort why victory in the war on cancer remains elusive: biomedical hypotheses and mathematical models
publisher MDPI AG
series Cancers
issn 2072-6694
publishDate 2011-01-01
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.
topic angiogenesis
breast cancer
cancer dormancy
mathematical model
metastasis
model identifiability
poisson process
url http://www.mdpi.com/2072-6694/3/1/340/
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