Literature DB >> 14761658

Age-specific acceleration of cancer.

Steven A Frank1.   

Abstract

One of the great challenges of cancer research is to explain the epidemiological patterns of cancer incidence based on the molecular processes that lead to uncontrolled cellular proliferation. The epidemiological data demonstrate that the age-specific incidence of many cancers increases in an approximately linear way with age when plotted on a log-log scale, with different slopes for different cancers. However, those epidemiological data also show that cancers of various tissues depart from log-log linearity in particular ways. Here, I illustrate those departures from log-log linearity by introducing plots of the age-specific acceleration of cancer. I then develop a very general model of cancer progression, which I use to explain the observed differences between tissues in age-specific acceleration. In one application of the model, I show that the spectacular rise and fall in age-specific acceleration observed in prostate cancer may be explained by multiple rounds of clonal expansion. In a second application, I demonstrate that the steady decline in age-specific acceleration of breast cancer may occur because precancerous mutations accumulate in many cellular lineages.

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Year:  2004        PMID: 14761658     DOI: 10.1016/j.cub.2003.12.026

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  18 in total

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Authors:  Franziska Michor; Yoh Iwasa; Martin A Nowak
Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-25       Impact factor: 11.205

Review 3.  Mapping complex traits as a dynamic system.

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Journal:  Phys Life Rev       Date:  2015-02-20       Impact factor: 11.025

4.  Aging and cancer mortality: dynamics of change and sex differences.

Authors:  Yang Yang; Ting Li; Matthew E Nielsen
Journal:  Exp Gerontol       Date:  2012-06-30       Impact factor: 4.032

5.  Genetic variation in cancer predisposition: mutational decay of a robust genetic control network.

Authors:  Steven A Frank
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-12       Impact factor: 11.205

6.  Age-specific incidence data indicate four mutations are required for human testicular cancers.

Authors:  James P Brody
Journal:  PLoS One       Date:  2011-10-06       Impact factor: 3.240

7.  Kinetics of cancer: a method to test hypotheses of genetic causation.

Authors:  Steven A Frank; Peng-Chieh Chen; Steven M Lipkin
Journal:  BMC Cancer       Date:  2005-12-21       Impact factor: 4.430

8.  Parallel routes of human carcinoma development: implications of the age-specific incidence data.

Authors:  James P Brody
Journal:  PLoS One       Date:  2009-09-23       Impact factor: 3.240

9.  Applying ecological and evolutionary theory to cancer: a long and winding road.

Authors:  Frédéric Thomas; Daniel Fisher; Philippe Fort; Jean-Pierre Marie; Simon Daoust; Benjamin Roche; Christoph Grunau; Céline Cosseau; Guillaume Mitta; Stephen Baghdiguian; François Rousset; Patrice Lassus; Eric Assenat; Damien Grégoire; Dorothée Missé; Alexander Lorz; Frédérique Billy; William Vainchenker; François Delhommeau; Serge Koscielny; Raphael Itzykson; Ruoping Tang; Fanny Fava; Annabelle Ballesta; Thomas Lepoutre; Liliana Krasinska; Vjekoslav Dulic; Peggy Raynaud; Philippe Blache; Corinne Quittau-Prevostel; Emmanuel Vignal; Hélène Trauchessec; Benoit Perthame; Jean Clairambault; Vitali Volpert; Eric Solary; Urszula Hibner; Michael E Hochberg
Journal:  Evol Appl       Date:  2012-11-16       Impact factor: 5.183

10.  A multistage theory of age-specific acceleration in human mortality.

Authors:  Steven A Frank
Journal:  BMC Biol       Date:  2004-07-08       Impact factor: 7.431

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