Characterizing Candidate Oncogenes at 8q21 in Breast Cancer

Abstract

Breast cancer carcinogenesis is caused by molecular genetic changes. These genetic changes ultimately affect the transcriptome. Copy number alterations of the genome is a cardinal feature of cancer and plays an important role in tumor progression by altering the gene expression program. These regions of alteration are associated with oncogenes and tumor suppressor genes of known and unknown identity. Characterization of both CNA's and gene expression profiles have been carried out on breast tumor specimens using microarray technology to gain further insight into the progression of this disease. We comprehensively characterized both DNA copy number changes and captured the gene expression profiles of 50 breast cancer cell lines, widely used model systems for the study of breast cancer. We found that the cell lines could be classified into three main subtypes, Luminal, Basal A, and Basal B by clustering of gene expression. Overall, this is similar to what is seen in the gene expression analysis of the tumors however, distinct differences were found. Analysis of the copy number profile revealed that the cell lines recapitulated the main genetic changes represented in the tumor data set but contained more changes. Finally, caution should be employed with choosing the appropriate cell line model system when studying specific processes in breast cancer.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2008
Accession Number
ADA486667

Entities

People

  • Jessica Y. Kao

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Amplification
  • Biology
  • Biomedical Research
  • Breast Cancer
  • Cancer
  • Cell Line
  • Cell Physiological Processes
  • Cells
  • Data Analysis
  • Diseases And Disorders
  • Dna Microarrays
  • Gene Expression
  • Genetics
  • Neoplasms
  • Spreadsheet Software
  • Students
  • Training

Fields of Study

  • Biology

Readers

  • Molecular Biology and Genetics
  • Molecular Genetics
  • Oncology

Technology Areas

  • Biotechnology