Probing the Tyrosine Phosphorylation State in Breast Cancer by Src Homology 2 Domain Binding

Abstract

Improved molecular diagnostic methods that can classify tumors and predict their response to therapy have enormous potential to improve the effectiveness breast cancer treatments. The overall goal of this project is to develop a novel molecular diagnostic method, termed SH2 profiling, that can classify cell samples based on their global protein tyrosine phosphorylation state. The first aim is to use an existing SH2 profiling method, based on far-Western blotting, to analyze fresh surgical breast cancer samples. The second aim is to develop a more high-throughput quantitative reversed-phase SH2 profiling format, and test its usefulness in classifying breast cancer samples. The third aim is to develop histochemical SH2 profiling methods that can be used to analyze archived, formalin-fixed tissue sections, and perform pilot retrospective studies to determine whether SH2 binding patterns have potential prognostic value. In the past year we have made great progress in developing the reversed-phase array and histochemical SH2 profiling formats, and results suggest that these quantitative methods will be useful in classifying breast cancer samples. In the coming year, once HSRRB approval for use of human samples is secured, we will begin to apply these new methods to the analysis of actual breast cancer specimens.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2004
Accession Number
ADA428932

Entities

People

  • Bruce J. Mayer

Organizations

  • University of Connecticut Health Center

Tags

DTIC Thesaurus Topics

  • Amino Acids
  • Bone Diseases
  • Breast Cancer
  • Cell Physiological Processes
  • Cells
  • Chemical Synthesis
  • Chemistry
  • Genetics
  • Health Services
  • Lymphocytes
  • Peptide Growth Factors
  • Peptides
  • Proteins
  • Proteomics

Fields of Study

  • Biology
  • Chemistry

Readers

  • Molecular and Cellular Biochemistry
  • Oncology and Biomarker-Based Cancer Detection.