Membrane Estrogen Receptors - Improving Predictions of Responsiveness of Breast Cancers to Anti-Estrogenic Therapies

Abstract

An alternative mechanism of action of steroids B action via a membrane form of steroid receptors B is not well studied. The pathway for steroid action is likely to be just as important as the well-studied genomic pathway for predicting responsiveness of cells for a variety of functions. There are basic responses to steroids that have not been fully explained; the most clinically important of these is how a steroid causes a cancer cell to divide. The significance of the membrane form of the estrogen receptor-a (mER) in estrogen-induced cell proliferation is unexplored. If the mER is involved, its measurement should contribute to the accuracy of clinical tests for predicting if breast cancer patients will respond to estrogen-antagonist therapies. We used immunocytochemical strategies to distinguish mER from the nuclear receptor to determine the expression levels and appearance of mER in mER+ and mER- breast cancer cells. We adapted an enzyme-linked detection and quantitation system, nuclear and membrane forms of ERalpha, and made these measurements in mER+, mER-, and wild type MCF-7 cells. We used determinations of cell number to assess cell proliferation and apoptosis responses of mER+, mER-, and wild-type cells to a wide range of concentrations of estrogens.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2002
Accession Number
ADB283877

Entities

People

  • Cheryl S. Watson

Organizations

  • University of Texas Medical Branch

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Antibodies
  • Antigens
  • Biomedical Research
  • Breast Cancer
  • Cell Line
  • Cell Physiological Processes
  • Cells
  • Detection
  • Government Procurement
  • Governments
  • Hormones
  • Indicator Dyes
  • Measurement
  • Membranes
  • Neoplasms
  • Tumor Cell Line

Fields of Study

  • Biology

Readers

  • Breast cancer cell signaling and growth regulation.
  • Oncology and Biomarker-Based Cancer Detection.