Breast Cancer in Context: New Tools and Paradigms for the Millennium

Abstract

We hypothesize that breast tumors are capable of multiple differentiation pathways. A finite number of interconnected pathways establish homeostasis in normal tissues which, if still functional in tumors, may be manipulated. Our goal is to characterize -51 breast cancer cell lines with known genomic profiles utilizing a robust 3-dimensional assay with laminin-rich extracellular matrix (3D IrECM). In this assay non-malignant mammary epithelial cells form acinar structures whereby cells growth arrest, polarize and form a central lumen while tumorigenic cells continue to proliferate and form a disorganized mass. In this assay, treatment of tumorigenic cells with various signaling inhibitors alone or in combination phenotypically "reverts" or kills cancer cells. To date, the majority of the tumor lines have been obtained and grouped according to their morphology in 3D IrECM. Refined analysis identified six distinct morphologies termed round, round mass, irregular mass, grape-like, grape-like stellate and invasive stellate. Twenty-six cell lines have been characterized by gene expression and proteomic profiles of selected signaling pathways. We are analyzing these expression profiles to identify common signaling themes and/or morphological regulators as well as performing studies correlating morphology and expression profiles with response to Herceptin and other therapeutic agents.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2006
Accession Number
ADA460805

Entities

People

  • Mina Bissell

Organizations

  • University of California, Berkeley

Tags

DTIC Thesaurus Topics

  • Antigens
  • Breast Cancer
  • Cell Line
  • Cell Physiological Processes
  • Cells
  • Confocal Microscopy
  • Culture Techniques
  • Epithelial Cells
  • Growth Factors
  • Inhibitors
  • Neoplasms
  • Peptide Growth Factors
  • Proteins
  • Skin Diseases
  • Statistical Analysis
  • Three Dimensional
  • Tumor Cell Line

Fields of Study

  • Biology

Readers

  • Molecular Biology and Genetics
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Biotechnology