A Mathematical Approach Predicting the Number of Events in Different Tumors

  • Ralf J. Rieker
  • Josef Hoegel
  • Michael A. Kern
  • Christina Steger
  • Sebastian Aulmann
  • Gunhild Mechtersheimer
  • Peter Schirmacher
  • Hendrik Blaeker
Original Paper

DOI: 10.1007/s12253-008-9050-z

Cite this article as:
Rieker, R.J., Hoegel, J., Kern, M.A. et al. Pathol. Oncol. Res. (2008) 14: 199. doi:10.1007/s12253-008-9050-z

Abstract

Supported by different investigations, multi-step models for tumorigenesis have been proposed for epithelial tumors. The age specific incidence of some cancers shows an exponential rise with increasing patient age. Yet, the onset and the slope of incidence curves varies between tumor types. One simple explanation for this disparity is that the number of mutations required for transformation differs in various tissues. We used a homogeneous Poisson process to estimate the number of events (N) and the intensity or event rate (λ) that might be needed for cancer development in various tissues (colon, prostate, oralpharynx, larynx). Estimations were performed, including 95% confidence intervals, for the male and female population. The expected number of events needed was higher in adenocarcinomas (colorectal carcinoma: N ≈ 10 for females and N ≈ 11.0 for males; prostatic cancer: N ≈ 23) than in squamous cell carcinomas (oropharynx: N ≈ 5–6 for females and N ≈ 6 for males; larynx: N ≈ 7 for females and N ≈ 8 males). Still, alternative models fixing N to values within the 95% confidence intervals determined, showed good coincidence with epidemiological data. Although the herein applied mathematical model neglects several biologic conditions, especially a presumed acceleration of mutation rates after tumor initiation it offers a plausible theory for the given epidemiologic data and matches with molecular biologic findings in the investigated cancers.

Keywords

Incidence rates Mutations Poisson distribution Probabilities Tumorigenesis 

Copyright information

© Arányi Lajos Foundation 2008

Authors and Affiliations

  • Ralf J. Rieker
    • 1
    • 3
  • Josef Hoegel
    • 2
  • Michael A. Kern
    • 1
  • Christina Steger
    • 3
  • Sebastian Aulmann
    • 1
  • Gunhild Mechtersheimer
    • 1
  • Peter Schirmacher
    • 1
  • Hendrik Blaeker
    • 1
  1. 1.Department of PathologyUniversity Hospital, University of HeidelbergHeidelbergGermany
  2. 2.Department of Human GeneticsUniversity of UlmUlmGermany
  3. 3.Department of PathologyMedical University of InnsbruckInnsbruckAustria

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