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Studying health histories of cancer: a new model connecting cancer incidence and survival.

Publication ,  Journal Article
Yashin, AI; Akushevich, I; Arbeev, K; Akushevich, L; Kulminski, A; Ukraintseva, S
Published in: Mathematical biosciences
April 2009

The results of recent experimental and epidemiological studies provide evidence on the connection between carcinogenesis, cancer progression, and aging. Existing models, however, are traditionally focused only on one of these aspects of health deterioration. In this paper, we derive a new model of cancer, which describes the connection between the ages at disease onset, the duration of disease, and life span of respective individuals. The model combines ideas used in the two hits model of carcinogenesis with those used in the Le Bras multistate model of aging with constant transition intensities. The model is used in the joint analyses of the US demographic mortality data and SEER data for selected cancers. The results show that the developed approach is capable of explaining links among health history data and provides useful insights on mechanisms of cancer occurrence, disease progression, other aging-related changes, and mortality. Further developments of this model are discussed.

Duke Scholars

Published In

Mathematical biosciences

DOI

EISSN

1879-3134

ISSN

0025-5564

Publication Date

April 2009

Volume

218

Issue

2

Start / End Page

88 / 97

Related Subject Headings

  • United States
  • Skin Neoplasms
  • SEER Program
  • Models, Biological
  • Middle Aged
  • Male
  • Lung Neoplasms
  • Likelihood Functions
  • Incidence
  • Humans
 

Citation

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Chicago
ICMJE
MLA
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Yashin, A. I., Akushevich, I., Arbeev, K., Akushevich, L., Kulminski, A., & Ukraintseva, S. (2009). Studying health histories of cancer: a new model connecting cancer incidence and survival. Mathematical Biosciences, 218(2), 88–97. https://doi.org/10.1016/j.mbs.2008.12.007
Yashin, Anatoli I., Igor Akushevich, Konstantin Arbeev, Lucy Akushevich, Alexander Kulminski, and Svetlana Ukraintseva. “Studying health histories of cancer: a new model connecting cancer incidence and survival.Mathematical Biosciences 218, no. 2 (April 2009): 88–97. https://doi.org/10.1016/j.mbs.2008.12.007.
Yashin AI, Akushevich I, Arbeev K, Akushevich L, Kulminski A, Ukraintseva S. Studying health histories of cancer: a new model connecting cancer incidence and survival. Mathematical biosciences. 2009 Apr;218(2):88–97.
Yashin, Anatoli I., et al. “Studying health histories of cancer: a new model connecting cancer incidence and survival.Mathematical Biosciences, vol. 218, no. 2, Apr. 2009, pp. 88–97. Epmc, doi:10.1016/j.mbs.2008.12.007.
Yashin AI, Akushevich I, Arbeev K, Akushevich L, Kulminski A, Ukraintseva S. Studying health histories of cancer: a new model connecting cancer incidence and survival. Mathematical biosciences. 2009 Apr;218(2):88–97.
Journal cover image

Published In

Mathematical biosciences

DOI

EISSN

1879-3134

ISSN

0025-5564

Publication Date

April 2009

Volume

218

Issue

2

Start / End Page

88 / 97

Related Subject Headings

  • United States
  • Skin Neoplasms
  • SEER Program
  • Models, Biological
  • Middle Aged
  • Male
  • Lung Neoplasms
  • Likelihood Functions
  • Incidence
  • Humans