Dynamics of Cancer

Incidence, Inheritance, and Evolution

Steven A. Frank, Steven Frank

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English

Princeton University Pres
22 July 2007

Medicine; Hereditary diseases & disorders; Oncology; DNA & Genome

Series: Princeton Series in Evolutionary Biology

The onset of cancer presents one of the most fundamental problems in modern biology. In Dynamics of Cancer, Steven Frank produces the first comprehensive analysis of how particular genetic and environmental causes influence the age of onset. The book provides a unique conceptual and historical framework for understanding the causes of cancer and other diseases that increase with age. Using a novel quantitative framework of reliability and multistage breakdown, Frank unifies molecular, demographic, and evolutionary levels of analysis. He interprets a wide variety of observations on the age of cancer onset, the genetic and environmental causes of disease, and the organization of tissues with regard to stem cell biology and somatic mutation. Frank uses new quantitative methods to tackle some of the classic problems in cancer biology and aging: how the rate of increase in the incidence of lung cancer declines after individuals quit smoking, the distinction between the dosage of a chemical carcinogen and the time of exposure, and the role of inherited genetic variation in familial patterns of cancer. This is the only book that presents a full analysis of the age of cancer onset.

It is a superb teaching tool and a rich source of ideas for new and experienced researchers. For cancer biologists, population geneticists, evolutionary biologists, and demographers interested in aging, this book provides new insight into disease progression, the inheritance of predisposition to disease, and the evolutionary processes that have shaped organismal design.

By: Steven A. Frank, Steven Frank
Imprint: Princeton University Pres
Country of Publication: United States
Dimensions: Height: 235mm, Width: 152mm, Spine: 20mm
Weight: 539g
ISBN: 9780691133669
ISBN 10: 0691133662
Series: Princeton Series in Evolutionary Biology
Pages: 400
Publication Date: 22 July 2007
Audience: Professional and scholarly , College/higher education , Undergraduate , Primary
Format: Paperback
Publisher's Status: Active

Steven A. Frank is professor of biology at the University of California, Irvine. He is the author of Immunology and Evolution of Infectious Disease and Foundations of Social Evolution (both Princeton).

Reviews for Dynamics of Cancer: Incidence, Inheritance, and Evolution

Frank is an evolutionary biologist with a strong mathematics bent. His book grapples with many...issues, offering insights from his mathematical modelling of various steps of tumour progression...One day he may be seen as the pioneer who began the difficult task of building a sturdy foundation for a truly useful mathematical model of cancer development. -- Robert A. Weinberg, Nature Frank's forte in the book is his search for the simplicity that is often masked by the complexities of cancer. With his mathematical models in hand, he turns to the details of cancer genetics, carcinogens, and aging and provides novel integrative insights...Dynamics of Cancer emphasizes both the multiscale dynamics of the disease and an approach that synthesizes empirical knowledge with parsimonious, mathematical theory. Frank moves the field forward, narrowing the gap between a tragic disease of everyday life and the Darwinian world of the genome. -- David C. Krakauer, Science This book is a superb teaching tool and a rich source of ideas for new and experienced researchers. For cancer biologists, population geneticists, evolutionary biologists, and demographers interested in aging, this book provides new insight into disease progression and the inheritance of predisposition to disease. -- Biology Digest It will be highly interesting to a wide readership, including students who would like to learn about this subject, theoretical/mathematical biologists, epidemiologists, and molecular/clinical cancer biologists. Although the volume is based on mathematical theory, the excellent writing style ensures that it can be read both by biologists with no background in mathematics, and by theoreticians who would like to learn more about the dynamics that govern cancer initiation and progression. -- Dominik Wodarz, Quarterly Review of Biology