Literature DB >> 2176201

Analysis of stomach cancer incidence by histologic subtypes based on a mathematical model of multistage cancer induction and exponential growth.

N Yamaguchi1, S Watanabe, K Maruyama, T Okubo.   

Abstract

A mathematical model incorporating the processes of both cancer induction and subsequent tumor growth has been developed. The model was applied to incidence data of stomach classified into histologic subtypes: papillary adenocarcinoma (PAP), well and moderately differentiated tubular adenocarcinomas (WEL and MOD), poorly differentiated adenocarcinoma (POR), mucinous adenocarcinoma (MUC) and signet-ring cell carcinoma (SIG). The multistage theory was assumed for cancer induction as in the Armitage-Doll model. For the period of growth, exponential growth was assumed and clinical surfacing was formulated as a stochastic process related to tumor diameter. The number of stages in cancer induction and the tumor growth rate were simultaneously estimated for each histologic subtype using the maximum likelihood procedure. The present model showed better fits than the Armitage-Doll model in most histologic subtypes except WEL, PAP, WEL and MOD, which are characterized as differentiated subtypes with less mucous production, showed different features from POR, MUC and SIG: 1) the number of stages was estimated to be larger, 2) the differences in incidence rates between males and females were more marked, and 3) males tended to have larger growth rates in PAP and MOD, while in POR, MUC and SIG, females had larger values. The present study showed that an analysis by histologic subtypes is of importance in stomach cancer and that the period of tumor growth should not be ignored when formulating a model of the natural history of stomach cancer.

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Year:  1990        PMID: 2176201      PMCID: PMC5917983          DOI: 10.1111/j.1349-7006.1990.tb02521.x

Source DB:  PubMed          Journal:  Jpn J Cancer Res        ISSN: 0910-5050


  8 in total

1.  The age distribution of human cancer for carcinogenic exposures of varying intensity.

Authors:  A S Whittemore
Journal:  Am J Epidemiol       Date:  1977-11       Impact factor: 4.897

Review 2.  Biology of early gastric carcinoma.

Authors:  S Fujita
Journal:  Pathol Res Pract       Date:  1978-12       Impact factor: 3.250

3.  A mathematical model for the age distribution of cancer in man.

Authors:  P J Cook; R Doll; S A Fellingham
Journal:  Int J Cancer       Date:  1969-01-15       Impact factor: 7.396

Review 4.  Statistical methods in cancer research. Volume II--The design and analysis of cohort studies.

Authors:  N E Breslow; N E Day
Journal:  IARC Sci Publ       Date:  1987

Review 5.  Why do we need cancer information?

Authors:  S Watanabe
Journal:  Jpn J Clin Oncol       Date:  1990-03       Impact factor: 3.019

6.  Estimation of the prevalence of occult cancer and its application to the epidemiology of multiple primary cancer.

Authors:  N Yamaguchi; S Watanabe; K Maruyama; T Okubo
Journal:  Jpn J Clin Oncol       Date:  1985-04       Impact factor: 3.019

7.  A new theory on cancer-inducing mechanism.

Authors:  C O NORDLING
Journal:  Br J Cancer       Date:  1953-03       Impact factor: 7.640

8.  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

  8 in total
  1 in total

1.  Periodic Fluctuations in the Incidence of Gastrointestinal Cancer.

Authors:  Mun-Gan Rhyu; Jung-Hwan Oh; Tae Ho Kim; Joon-Sung Kim; Young A Rhyu; Seung-Jin Hong
Journal:  Front Oncol       Date:  2021-03-23       Impact factor: 6.244

  1 in total

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