Cas Signaling in Breast Cancer

Abstract

Resistance to antiestrogens is a serious clinical problem in breast cancer treatment, and a better understanding of the mechanisms of antiestrogen resistance is urgently needed. Our hypothesis, which is supported by our preliminary data, is that the signaling molecule Cas has an important causal role in the development of antiestrogen resistance. As a corollary, understanding of the pathways that Cas activates may identify key regulators of antiestrogen resistance and novel targets for breast cancer treatment, and measurements of Cas signaling levels may provide useful prognostic information for breast cancer patients. Our objective is to test our hypothesis, and to identify the signaling pathways that mediate Cas-induced antiestrogen resistance. Our working model is that the Rac-JNK pathway forms a common pathway downstream of the Cas/Crk/BCAR3 signaling complex to mediate antiestrogen resistance. Testing this model relies on reciprocal analysis of dominant-negative and constitutively active forms of the various resistance. Testing this model relies on reciprocal analysis of dominant-negative and constitutively active forms of the various genetic and cellular tools described in the report in detail, allowing us to perform rigorous functional studies on the antiestrogen resistance in breast cancer cells during the upcoming year.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2006
Accession Number
ADA456203

Entities

People

  • Kristiina Vuori

Organizations

  • Sanford Burnham Prebys Medical Discovery Institute

Tags

DTIC Thesaurus Topics

  • Alkenes
  • Biomedical Research
  • Breast Cancer
  • Cell Line
  • Cell Physiological Processes
  • Cells
  • Culture Techniques
  • Department Of Defense
  • Diseases And Disorders
  • Mass Spectrometers
  • Mass Spectrometry
  • Measurement
  • Molecules
  • Neoplasms
  • Protein-Protein Interactions
  • Resistance
  • Tumor Cell Line

Readers

  • Breast cancer cell signaling and growth regulation.
  • Systems Analysis and Design

Technology Areas

  • Biotechnology