Studying health histories of cancer: a new model connecting cancer incidence and survival.
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.
Yashin
Anatoli I
AI
Department of Sociology, Duke University, 002 Trent Hall, Box 90408 Durham, NC 27708-0408, USA.
Akushevich
Igor
I
Arbeev
Konstantin
K
Akushevich
Lucy
L
Kulminski
Alexander
A
Ukraintseva
Svetlana
S
D000328:Adult; D017668:Age of Onset; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000473:pathology*; D003110:Colonic Neoplasms / Q000453:epidemiology / Q000401:mortality / Q000473:pathology*; D006801:Humans; D015994:Incidence; D016013:Likelihood Functions; D008175:Lung Neoplasms / Q000453:epidemiology / Q000401:mortality / Q000473:pathology*; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D018426:SEER Program; D012878:Skin Neoplasms / Q000453:epidemiology / Q000401:mortality / Q000473:pathology*; D014481:United States / Q000453:epidemiology