Molecular Characterization of Resistance

Abstract

This is an annual report of an IDEA Award to study the molecular mechanisms driving acquired antiestrogen resistance. We have identified several genes associated with resistance to ICI 182,780 (Fulvestrant. Faslodex). Our initial studies have now been published (Cancer Res, 62: 3428-3437, 2002). Functional studies on the role of selected genes are in progress. We also have begun building and testing neural network predictors to separate several antiestrogen resistance phenotypes including antiestrogen sensitive, Tamoxifen resistant/ICI 182,780 sensitive, and TAM/ICI 182,780 crossresistant. We also have completed and published a novel method for collecting and processing human biopsies for gene expression microarray studies (Clin Cancer Res, 8: 1155- 1166, 2002.). This method allows us to collect samples from patients for future studies of the molecular profiling of antiestrogen responsiveness in patients. Our new algorithm for normalizing gene expression microarray data also has been published in the informatics literature (IEEE Trans Inf Technol Biomed, 6: 29-37, 2002).

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2002
Accession Number
ADA411389

Entities

People

  • Robert Clarke

Organizations

  • Georgetown University

Tags

DTIC Thesaurus Topics

  • Breast Cancer
  • Carrier Proteins
  • Cell Physiological Processes
  • Chemical Synthesis
  • Chemistry
  • Computational Science
  • Data Science
  • Databases
  • Dna Microarrays
  • Health Services
  • Information Science
  • Medical Personnel
  • Network Science
  • Neural Networks
  • Proteins

Readers

  • Breast cancer cell signaling and growth regulation.
  • Oncology and Biomarker-Based Cancer Detection.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML