AP-1 Activity in Tamoxifen-Resistant Human Breast Tumors

Abstract

Tamoxifen is the hormonal therapy of choice for patients whose tumors are classified estrogen receptor (ER)- positive. However, in advanced breast cancer, ER-positive tumors that may be initially responsive to tamoxifen become resistant. ER can interact with the activator protein-i (AP-1) transcription factor complex through protein-protein interactions and tamoxifen functions as an agonist in coactivating ER/AP-1 in some ER positive cells. Tamoxifen has been shown to induce oxidative stress and tamoxifen resistant ER positive cell lines are associated with increased AP-1 binding, suggesting that enhanced AP-1 activity can account for tamoxifen- stimulated growth. in this study, I focus on the functional effect of oxidant stress on the zinc finger structure of ER. In order to accurately study the effect of the oxidant stress on full-length recombinant ER and on ER purified from cell lines and tumor samples, I have developed an alkylation and in gel-digestion protocol. This procedure is described in detail and will allow me to circumvent the unexpected pitfalls discussed in this report. Additionally, an analysis of 70 ER-positive breast tumors extracts for AP-1 and Sp1 DNA- binding and phosphorylated extracellular signal-regulated protein kinase 5 (P-Erk5) content has been completed.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2001
Accession Number
ADB281622

Entities

People

  • Jose E. Meza

Organizations

  • University of California, San Francisco

Tags

DTIC Thesaurus Topics

  • Alkylation
  • Biological Sciences
  • Biomedical Research
  • Breast Cancer
  • Cell Line
  • Cells
  • Computer Programs
  • Digestive System Processes
  • Estrogens
  • Government Procurement
  • Governments
  • Mass Spectrometry
  • Neoplasms
  • Oxidative Stress
  • Protein-Protein Interactions
  • Proteins
  • Transcription Factors

Fields of Study

  • Biology

Readers

  • Breast cancer cell signaling and growth regulation.
  • Computational Modeling and Simulation
  • Molecular Genetics