Literature DB >> 16506984

Heterogeneity of cancer risk due to stochastic effects.

Wolfgang F Heidenreich1.   

Abstract

Persons with exactly the same genetic background, behavior, environment, etc. may have differences in cancer risk due to a different number of cells on the way to malignancy. These differences are estimated quantitatively by using the two-stage clonal expansion model. For liver cancer the estimated relative risk for persons without intermediate cells at age 40 is less than 10% when compared to the risk of the total population, while the top 0.1% risk group has a more than 100-fold risk compared to the population. The risk of the 1% percentile in risk is more than 100-fold of the risk of the more than 95% persons without intermediate cells. The number of intermediate (premalignant) cells in the risk groups cannot be calculated from incidence data only because they depend strongly on a nonidentifiable parameter. But under plausible assumptions, less than about 1,000 intermediate cells are present at age 40 even in high-risk persons.

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Year:  2005        PMID: 16506984     DOI: 10.1111/j.1539-6924.2005.00685.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  5 in total

Review 1.  Systems biology and its potential role in radiobiology.

Authors:  Ludwig Feinendegen; Philip Hahnfeldt; Eric E Schadt; Michael Stumpf; Eberhard O Voit
Journal:  Radiat Environ Biophys       Date:  2007-12-18       Impact factor: 1.925

2.  Evaluation of screening strategies for pre-malignant lesions using a biomathematical approach.

Authors:  Jihyoun Jeon; Rafael Meza; Suresh H Moolgavkar; E Georg Luebeck
Journal:  Math Biosci       Date:  2008-02-26       Impact factor: 2.144

3.  Heterogeneity of cancer risk due to stochastic effects: emphasis on radiation-induced effects.

Authors:  Wolfgang F Heidenreich
Journal:  Radiat Environ Biophys       Date:  2006-04-05       Impact factor: 1.925

Review 4.  Systems biological and mechanistic modelling of radiation-induced cancer.

Authors:  M P Little; W F Heidenreich; S H Moolgavkar; H Schöllnberger; D C Thomas
Journal:  Radiat Environ Biophys       Date:  2007-12-21       Impact factor: 1.925

Review 5.  Understanding variation in disease risk: the elusive concept of frailty.

Authors:  Odd O Aalen; Morten Valberg; Tom Grotmol; Steinar Tretli
Journal:  Int J Epidemiol       Date:  2014-12-12       Impact factor: 7.196

  5 in total

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