Literature DB >> 2340975

Two-stage models of carcinogenesis, classification of agents, and design of experiments.

C J Portier1, L Edler.   

Abstract

The implications of a clonal two-stage model of carcinogenesis on the design and analysis of 2-year in vivo tumorigenesis experiments are addressed. Using a simple classification scheme for labelling test agents as initiators, promoters, and completers, it is shown that the standard experimental design has very little ability to differentiate between these different modes of action. Even when chemicals in one class (e.g., promoters) follow a highly nonlinear dose-response relationship and chemicals in another class (e.g., initiators) follow a linear dose-response relationship, it is difficult to reject one mode of action versus the other. A simple modification of the design using age-dependent dosing schemes produces patterns of tumor incidence which are unique to the particular class, making it slightly easier to differentiate between the assumed mechanisms of action. The implications of this finding on study design are discussed.

Entities:  

Mesh:

Substances:

Year:  1990        PMID: 2340975     DOI: 10.1016/0272-0590(90)90249-j

Source DB:  PubMed          Journal:  Fundam Appl Toxicol        ISSN: 0272-0590


  5 in total

1.  On use of the multistage dose-response model for assessing laboratory animal carcinogenicity.

Authors:  Daniela K Nitcheva; Walter W Piegorsch; R Webster West
Journal:  Regul Toxicol Pharmacol       Date:  2007-03-25       Impact factor: 3.271

2.  Locally optimal designs for some binary dose-response models.

Authors:  Yi Zhai; Zhide Fang
Journal:  Can J Stat       Date:  2018-04-27       Impact factor: 0.875

3.  Mechanistic study on lung cancer mortality after radon exposure in the Wismut cohort supports important role of clonal expansion in lung carcinogenesis.

Authors:  I Zaballa; M Eidemüller
Journal:  Radiat Environ Biophys       Date:  2016-06-22       Impact factor: 1.925

Review 4.  Using cell replication data in mathematical modeling in carcinogenesis.

Authors:  C J Portier; A Kopp-Schneider; C D Sherman
Journal:  Environ Health Perspect       Date:  1993-12       Impact factor: 9.031

Review 5.  Biostatistical issues in the design and analysis of animal carcinogenicity experiments.

Authors:  C J Portier
Journal:  Environ Health Perspect       Date:  1994-01       Impact factor: 9.031

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.