Literature DB >> 7532877

Growth kinetics of enzyme-altered liver foci in rats treated with phenobarbital or alpha-hexachlorocyclohexane.

E G Luebeck1, B Grasl-Kraupp, I Timmermann-Trosiener, W Bursch, R Schulte-Hermann, S H Moolgavkar.   

Abstract

A quantitative method based upon a stochastic model for the appearance of initiated cells and their clonal growth was used to estimate cell birth and death rates in enzyme-altered liver foci (EAF). gamma-Glutamyltranspeptidase (gamma-GT)-positive foci were initiated in livers of female SPF Wistar rats by a single application of N-nitrosomorpholine. Serial terminations during and after stop of promoter treatment with either phenobarbital (PB) or alpha-hexachlorocyclohexane (alpha-HCH) provided information on the growth and regression of the EAF. Simultaneous labeling index (LI) measurements were obtained via single injections with [3H]thymidine. No significant increases of the LI were observed with PB or alpha-HCH treatment. Since both agents are strong liver promoters we conclude that the growth of gamma-GT-positive foci is mainly due to a decrease in the rate of apoptosis. Indeed, our analysis supports this conclusion but determines that the abrogation of homeostatic control during promoter treatment is subtle. The ratio of cell death and cell birth rate is found to be decreased only slightly during promoter treatment and slightly increased after stop of promotion. For the mathematical analysis, two distinct focal growth scenarios were employed: (i) volume growth, i.e., all cells within individual foci cycle actively with the same rate, and (ii) surface growth where only cells on the surface of foci cycle actively while interior cells are resting. The model based upon scenario (ii) provides a better fit to the data and is more consistent with the experimental observations indicating heterogeneity of cell division rates within individual foci.

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Year:  1995        PMID: 7532877     DOI: 10.1006/taap.1995.1035

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  4 in total

1.  Heterogeneity of cancer risk due to stochastic effects: emphasis on radiation-induced effects.

Authors:  Wolfgang F Heidenreich
Journal:  Radiat Environ Biophys       Date:  2006-04-05       Impact factor: 1.925

2.  Uncertainties in biologically-based modeling of formaldehyde-induced respiratory cancer risk: identification of key issues.

Authors:  Ravi P Subramaniam; Chao Chen; Kenny S Crump; Danielle Devoney; John F Fox; Christopher J Portier; Paul M Schlosser; Chad M Thompson; Paul White
Journal:  Risk Anal       Date:  2008-06-28       Impact factor: 4.000

3.  Induction of apoptosis in mouse liver adenoma and carcinoma in vivo by transforming growth factor-beta1.

Authors:  Monika Chabicovsky; Ute Wastl; Henryk Taper; Bettina Grasl-Kraupp; Rolf Schulte-Hermann; Wilfried Bursch
Journal:  J Cancer Res Clin Oncol       Date:  2003-08-06       Impact factor: 4.553

Review 4.  What role for biologically based dose-response models in estimating low-dose risk?

Authors:  Kenny S Crump; Chao Chen; Weihsueh A Chiu; Thomas A Louis; Christopher J Portier; Ravi P Subramaniam; Paul D White
Journal:  Environ Health Perspect       Date:  2010-01-04       Impact factor: 9.031

  4 in total

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