Investigating the Mechanisms of Action and the Identification of Breast Carcinogens by Computational Analysis of Female Rodent Carcinogens

Abstract

This project is investigating the potential that environmental chemicals may be involved in the etiology of breast cancer. We hypothesize that specific features of chemicals can be identified that are significantly associated with female and breast carcinogens and that these features are related to mechanisms of chemical carcinogenesis. Our overall scientific objective is to investigate the hypothesized relationship between environmental chemicals, xenoestrogens, and the development of breast cancer. With the success of the rat and mouse mammary carcinogen models we have submitted one (accepting pending revisions) and are preparing another publication. We are also pursuing work on a novel SAR approach that is allowing us to ask the specific question of "why do some carcinogens cause cancer in the breast?" which is a significantly different question than posed in historical SAR studies as "why do some chemicals cause cancer?".. Two graduate students have been awarded MS degrees from LSU based on this project, one of whom was funded through this project. We have also successfully used the data and protocols generated from this project to successfully compete for additional funding effectively extending this work from studying "why chemicals cause breast cancer" to "how can new highly specific breast cancer chemotherapies be discovered". Looking forward, I see no obstacles to the successful completion of this project in a timely manner.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2005
Accession Number
ADA443017

Entities

People

  • Albert R. Cunningham

Organizations

  • Louisiana State University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Alkenes
  • Anhydrides
  • Biomedical Research
  • Breast Cancer
  • Cancer
  • Databases
  • Department Of Defense
  • Environmental Health
  • Expert Systems
  • Geographic Information Systems
  • Identification
  • Information Systems
  • Mammary Glands
  • Neoplasms
  • Statistical Analysis
  • United States

Readers

  • Molecular Biology and Genetics
  • Research Science/Academic Research
  • Systems Analysis and Design