Biologically-Based Dose-Response Models for Cancer Risk Assessment

EPA Grant Number: R824762
Title: Biologically-Based Dose-Response Models for Cancer Risk Assessment
Investigators: Moolgavkar, Suresh H.
Current Investigators: Moolgavkar, Suresh H. , Luebeck, E. Georg
Institution: Fred Hutchinson Cancer Research Center
EPA Project Officer: Hahn, Intaek
Project Period: October 1, 1995 through September 30, 1998
Project Amount: $387,615
RFA: Human Health Risk Assessment (1995) RFA Text |  Recipients Lists
Research Category: Health Effects , Human Health , Human Health Risk Assessment , Health


The purpose of this project is the development of biologically-based dose-response models for analyses of experimental and epidemiologic data and for cancer risk assessment. The two-mutation clonal expansion model of carcinogenesis will form the basis of this work. This model, which postulates two rate-limiting steps on the pathway to malignancy and explicitly considers cell division and cell death, has natural interpretation within the initiation-promotion-progression paradigm of chemical carcinogenesis. Because mutations and cell division and death are explicitly considered, the action of both genotoxic and nongenotoxic agents can be addressed within the framework of this model. The results of this research will lead to better understanding of the role of environmental agents in malignant transformation and to cancer risk assessment procedures based on realistic biological considerations.

Publications and Presentations:

Publications have been submitted on this project: View all 9 publications for this project

Journal Articles:

Journal Articles have been submitted on this project: View all 8 journal articles for this project

Supplemental Keywords:

RFA, Health, Scientific Discipline, Genetics, Health Risk Assessment, Risk Assessments, Molecular Biology/Genetics, cancer risk, malignancy, cell biology, dose response, genotoxic, two mutation clonal expansion model, carcinogens, human exposure, cancer risk assessment, biologically based model, human health risk

Progress and Final Reports:

  • 1996
  • 1997
  • Final Report