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Individual Aging and Cancer Risk: How are They Related?

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  • Svetlana Ukraintseva

    (Duke University)

  • Anatoli Yashin

    (Duke University)

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    Abstract

    When individuals get older, the risk of many chronic diseases increases. This increase is in agreement with common theories of aging, such as mutation accumulation, wear and tear, antagonistic pleiotropy, etc. Surprisingly, however, the risk of some chronic conditions (e.g. asthma, arterial hypertension) declines in the old. The cancer incidence rate also declines at old ages after a steep increase during adult life. It contrasts with the continuing increase in total mortality that is often referred to as the aging process. Which forces contribute to a decline in cancer risk in the old? In this paper we review evidence from experimental biology, illustrating the ambivalent role of individual aging in cancer risk, in particular in forming non-monotonic age-patterns of cancer incidence rate. We show that age-associated changes in the organism may contribute not only to the rise, but also to the deceleration and the decline in cancer risk at old ages.

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    File URL: http://www.demographic-research.org/volumes/vol9/8/9-8.pdf
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    Bibliographic Info

    Article provided by Max Planck Institute for Demographic Research, Rostock, Germany in its journal Demographic Research.

    Volume (Year): 9 (2003)
    Issue (Month): 8 (October)
    Pages: 163-196

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    Handle: RePEc:dem:demres:v:9:y:2003:i:8

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    Web page: http://www.demogr.mpg.de/

    Related research

    Keywords: age/aging; aging organism; cancer; cancer incidence rate; cell proliferation; rate of physiological processes; tumor survival;

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    Cited by:
    1. Belzunce, Felix & Ortega, Eva-Maria & Ruiz, Jose M., 2007. "On non-monotonic ageing properties from the Laplace transform, with actuarial applications," Insurance: Mathematics and Economics, Elsevier, vol. 40(1), pages 1-14, January.
    2. Svetlana V. Ukraintseva & Anatoli I. Yashin, 2005. "Economic progress as cancer risk factor. I: Puzzling facts of cancer epidemiology," MPIDR Working Papers WP-2005-021, Max Planck Institute for Demographic Research, Rostock, Germany.
    3. Konstantin Arbeev & Svetlana Ukraintseva & Lyubov S. Arbeeva & Anatoli Yashin, 2005. "Mathematical Models for Human Cancer Incidence Rates," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 12(10), pages 237-272, May.

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