P270 AND THE SWI/SNF Complex in Breast Cancer

Abstract

Breast cancer arises from a series of harmful mutations to genes important for the normal regulation of cell growth and differentiation. Identification of the gene products whose loss is important in the development of the cancer is the primary means of determining who is at risk. There is an acute need for a more comprehensive understanding of the gene products that contribute to regulation, and the consequences of their failures. Gene products implicated in estrogen-responsive pathways are particularly likely to be significant in tumongenesis because exposure to estrogen is one of the most important contributory factors for the development of breast cancer. Our lab has cloned a new gene, p270, which codes for a protein that has structural characteristics and biochemical properties suggesting that it plays a significant role in the regulation of gene expression in response to estrogen. This project is designed to test this possibility by analyzing p270 expression and function in normal and breast cancer cells. This analysis will advance our understanding of the molecular mechanisms underlying normal breast development and carcinogenesis. These studies are likely to identify new markers for diagnosis and prognosis. They may ultimately lead to the design of therapeutic strategies based on the function of p270. These studies are particularly likely to open up new perspectives and stimulate new initiatives in the search for a cure for breast cancer.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2002
Accession Number
ADA407402

Entities

People

  • Elizabeth Moran
  • Xiaomei Wang

Organizations

  • Temple University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Biomedical Research
  • Breast Cancer
  • Cancer
  • Carrier Proteins
  • Cell Line
  • Cells
  • Dna Tumor Viruses
  • Estrogens
  • Fungi
  • Gene Expression
  • Genetics
  • Hormones
  • Mutations
  • Neoplasms
  • Proteins
  • Tumor Cell Line

Readers

  • Molecular Biology and Genetics
  • Systems Analysis and Design