Molecular Genetics of Breast Neoplasia.

Abstract

The overall objectives of this grant were a) to develop new multiparametric fluorescence in situ hybridization (M-FISH) techniques for the analysis of chromosomal abnormalities and genetic alterations in breast cells and tissues and b) to identify genes in the p14-21 region of chromosome 3 that may be implicated in the pathophysiology of breast neoplasia. We were successful in developing and validating an M-FISH karyotyping procedure in which each chromosome is uniquely identified by combinatorially fluor-labeled chromosome painting probes. M-FISH was also carried out with band-specific probes as well as genomic DNA clones specific for chromosomal regions implicated in breast cancer. Unfortunately, the development of computer algorithms for 3-D image deconvolution were extremely difficult and time-consuming, thus M-FISH on surgical sections or archival specimens could not be done. We demonstrated that mRNA transcripts from the fragile histidine triad (FHIT) gene, that maps within the 3p14-21 interval was aberrant in approximately 40% of the primary breast carcinomas examined,, indicating that the FHIT gene may be involved in breast cancer progression. Finally, we have shown that comparative genome hybridization (CGH) of needle aspirates from breast tumors detect the same chromosomal changes as found in surgical specimens, facilitating evaluation of tumors prior to surgery.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1998
Accession Number
ADA378177

Entities

People

  • David C. Ward

Organizations

  • Yale University

Tags

DTIC Thesaurus Topics

  • Alcohols
  • Amino Acids
  • Biomedical Research
  • Breast Cancer
  • Cell Line
  • Cells
  • Chemical Reactions
  • Chromosome Aberrations
  • Chromosomes
  • Computers
  • Detection
  • Genetics
  • Medical Personnel
  • Molecular Genetics
  • Neoplasms
  • Phosphodiesterases
  • Polymerase Chain Reaction

Fields of Study

  • Biology

Readers

  • Molecular and genetic basis of cancer.
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Biotechnology