Cross Species Identification and Functional Analysis of MicroRNAs in Mammary Tumorigenesis: Potential Targets for Detection, Diagnosis and Therapy

Abstract

miRNAs have recently been identified as epigenetic elements that have important roles in development, differentiation, apoptosis and oncogenesis. Altered expression of several miRNAs have been reported in human breast cancers and may be useful in predicting patient prognosis. The functional roles of miRNAs in tumor development and progression have not been well evaluated. The purpose of this study is to use multiple genetically engineered mouse models of mammary cancer as a filter to identify miRNAs whose expression may be evolutionarily conserved in breast cancer. Such species of miRNA that are identified through a cross-species comparison are likely to be functionally important. This study has determined the miRNA expression in multiple mouse models of mammary cancer that are based upon different initiating oncogenic events. Four general patterns of miRNA expression have been identified among the models by hierarchical clustering analyses. A distinct miRNA expression pattern has been identified for MMTV-her2/neu tumors, another for MMTV-myc tumors, whereas p53-/- tumors cluster separately from C3(1)/Tag and MMTV-PyMT tumors. Current analyses are underway to correlate changes in miRNA expression with array CGH and gene expression data from the same tumors and compare these findings to miRNA alterations in human cancer. Functional analyses are also being performed.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2007
Accession Number
ADA473885

Entities

People

  • Jeffrey E. Green
  • Kristin K. Deeb

Organizations

  • National Cancer Institute

Tags

DTIC Thesaurus Topics

  • Apoptosis
  • Biomedical Research
  • Breast Cancer
  • Cancer
  • Clustering
  • Computational Science
  • Detection
  • Functional Analysis
  • Gene Expression
  • Genes
  • Genetic Phenomena
  • Identification
  • Lung Cancer
  • Mathematical Analysis
  • Neoplasms
  • Platforms
  • Systems Approach

Fields of Study

  • Biology

Readers

  • Molecular Biology and Genetics
  • Molecular Genetics

Technology Areas

  • Biotechnology
  • Fully Networked C3
  • Fully Networked C3 - Command and Control