Developing New Epidemiologic Tools for Investigating Breast Cancer Risk

Abstract

In Project 1 (developing biomarkers for growth factors and key steroids in breast fluid) we have published an initial paper characterizing the levels of EGF and TGF-alpha in breast fluid within and between individuals. We have also begun analysis of samples in the Mammographic Density Study, which focuses on the relation of breast fluid growth factor levels to breast tissue density, an independent risk factor for breast cancer. Results thus far indicate that mammographic density might be associated with EGF levels. We have halted development of the fluoroimmunoassay for salivary estradiol in favor of a new ultrasensitive radioimmunoassay. The new assay appears promising. In Project 2 (lobular differentiation in normal breast tissue), we have finalized our protocol for reading lobule type, resulting in improved inter-reader agreement. In addition, we have established homogeneity of lobule type across breast regions within an individual, and have completed preliminary analysis of our case-control study. This study thus far shows a shift towards immature lobule type in women with breast cancer, particularly among those who are parous. The data also suggest that nulliparity is associated with immature lobule type. We are accuring more data; this will become the largest analysis of these hypotheses to date in humans.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1997
Accession Number
ADA345321

Entities

People

  • Peter H Gann

Organizations

  • Northwestern University

Tags

DTIC Thesaurus Topics

  • Biological Factors
  • Biological Markers
  • Blood
  • Bodily Secretions
  • Body Fluids
  • Breast Cancer
  • Chemistry
  • Data Analysis
  • Diseases And Disorders
  • Growth Factors
  • Health Services
  • Medical Personnel
  • Neoplasms
  • Peptide Growth Factors
  • Peptides
  • Proteins
  • Risk Factors

Fields of Study

  • Medicine

Readers

  • Breast cancer cell signaling and growth regulation.
  • Oncology and Biomarker-Based Cancer Detection.
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.