Literature DB >> 17031516

Frailty modelling of colorectal cancer incidence in Norway: indications that individual heterogeneity in risk is related to birth cohort.

Elisabeth Svensson1, Tron A Moger, Steinar Tretli, Odd O Aalen, Tom Grotmol.   

Abstract

Some cancer types level off or decrease in incidence at older age groups, not following the Weibull hazard rate. This stagnation can be explained by the frailty model, which describes the population effect of mixing individuals who are susceptible, with high risk of cancer, with those that are "non-susceptible", with a low risk of cancer even in the oldest age groups. The aim of the study was to apply a frailty model on colorectal cancer incidence data for the Norwegian population aged 40-99 years, diagnosed 1956-2000. The model provided an acceptable fit to the data. The estimated proportion of susceptibles increased from about 5% to about 24% from the first cohort (1851-1855) to the last cohort (1946-1950), in line with the rise in incidence of the disease during this period. According to the frailty modelling, the estimated number of genetic events necessary for a malignant lesion to develop in the colorectum is seven to eight, which accords with the present knowledge regarding colorectal carcinogenesis. The frailty phenomenon may thus be present in this cancer form. The findings indicate that it is possible to model the development of colorectal cancer in the population based on large heterogeneity in risk between individuals, in such a manner that a small group of individuals are susceptible to develop the disease, whereas the remaining majority have a low susceptibility.

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Year:  2006        PMID: 17031516     DOI: 10.1007/s10654-006-9043-8

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  23 in total

1.  Effects of frailty in survival analysis.

Authors:  O O Aalen
Journal:  Stat Methods Med Res       Date:  1994       Impact factor: 3.021

2.  Birth characteristics and adult cancer incidence: Swedish cohort of over 11,000 men and women.

Authors:  Valerie A McCormack; Isabel dos Santos Silva; Ilona Koupil; David A Leon; Hans O Lithell
Journal:  Int J Cancer       Date:  2005-07-01       Impact factor: 7.396

3.  Colorectal cancer incidence trends by subsite in urban Shanghai, 1972-1994.

Authors:  B T Ji; S S Devesa; W H Chow; F Jin; Y T Gao
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1998-08       Impact factor: 4.254

4.  Mutation, cell kinetics, and subpopulations at risk for colon cancer in the United States.

Authors:  P Herrero-Jimenez; G Thilly; P J Southam; A Tomita-Mitchell; S Morgenthaler; E E Furth; W G Thilly
Journal:  Mutat Res       Date:  1998-05-25       Impact factor: 2.433

5.  Energy restriction early in life and colon carcinoma risk: results of The Netherlands Cohort Study after 7.3 years of follow-up.

Authors:  Miranda J M Dirx; Piet A van den Brandt; R Alexandra Goldbohm; L H Lumey
Journal:  Cancer       Date:  2003-01-01       Impact factor: 6.860

6.  Colorectal cancer survival trends in Norway 1958-1997.

Authors:  E Angell-Andersen; S Tretli; M P Coleman; F Langmark; T Grotmol
Journal:  Eur J Cancer       Date:  2004-03       Impact factor: 9.162

7.  Frailty modelling of testicular cancer incidence using Scandinavian data.

Authors:  Tron A Moger; Odd O Aalen; Tarje O Halvorsen; Hans H Storm; Steinar Tretli
Journal:  Biostatistics       Date:  2004-01       Impact factor: 5.899

8.  Trends in colorectal cancer incidence in Norway by gender and anatomic site: an age-period-cohort analysis.

Authors:  E Svensson; T Grotmol; G Hoff; F Langmark; J Norstein; S Tretli
Journal:  Eur J Cancer Prev       Date:  2002-10       Impact factor: 2.497

9.  The age distribution of cancer and a multi-stage theory of carcinogenesis.

Authors:  P ARMITAGE; R DOLL
Journal:  Br J Cancer       Date:  1954-03       Impact factor: 7.640

10.  Familial risk in testicular cancer as a clue to a heritable and environmental aetiology.

Authors:  K Hemminki; X Li
Journal:  Br J Cancer       Date:  2004-05-04       Impact factor: 7.640

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  5 in total

1.  Prostate-specific antigen testing for prostate cancer: Depleting a limited pool of susceptible individuals?

Authors:  Morten Valberg; Tom Grotmol; Steinar Tretli; Marit B Veierød; Tron A Moger; Susan S Devesa; Odd O Aalen
Journal:  Eur J Epidemiol       Date:  2016-07-18       Impact factor: 8.082

2.  Is cancer incidence decreased in the frail elderly? Evidence from a prospective cohort study.

Authors:  Bindu Kanapuru; Eleanor M Simonsick; William B Ershler
Journal:  J Geriatr Oncol       Date:  2012-09-14       Impact factor: 3.599

3.  Frailty modeling of age-incidence curves of osteosarcoma and Ewing sarcoma among individuals younger than 40 years.

Authors:  Morten Valberg; Tom Grotmol; Steinar Tretli; Marit B Veierød; Susan S Devesa; Odd O Aalen
Journal:  Stat Med       Date:  2012-06-29       Impact factor: 2.373

4.  Protecting the cancer susceptibility curve.

Authors:  Adam M Finkel
Journal:  Environ Health Perspect       Date:  2013-08       Impact factor: 9.031

5.  Frailty modeling of bimodal age-incidence curves of nasopharyngeal carcinoma in low-risk populations.

Authors:  Marion Haugen; Freddie Bray; Tom Grotmol; Steinar Tretli; Odd O Aalen; Tron A Moger
Journal:  Biostatistics       Date:  2009-03-29       Impact factor: 5.899

  5 in total

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