Gene Discovery in Prostate Cancer: Functional Identification and Isolation of PAC-1, a Novel Tumor Suppressor Gene Within Chromosome 10p

Abstract

The purpose and scope of this project was to utilize a functional approach for the physical mapping and identification of a novel tumor suppressor gene for prostate cancer within chromosome l0p. The major findings include the development of a technology for serial microcell fusion to transfer defined lop fragments into a mouse A9 fibrosarcoma cell line. Once characterized by FISH and microsatellite analyses, the l0p fragments were subsequently transferred into PC-3H to generate a panel of microcell hybrid clones containing overlapping deletions of chromosome l0p. In vivo and micro satellite analyses of these PC hybrids identified a small chromosome lop fragment (an estimated 31 Mb in size inclusive of the centromere) that when transferred into the PC-3H background, resulted in significant tumor suppression and limited a region of functional tumor suppressor activity to chromosome 10p12.31-q11. This region coincides with a region of LOH demonstrated in prostate cancer. These studies demonstrate the utility of this approach as a powerful tool to limit regions of functional tumor suppressor activity. Furthermore, these data used in conjunction with data generated by the Human Genome Project lent a focused approach to identify candidate tumor suppressor genes involved in prostate cancer.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2001
Accession Number
ADB281674

Entities

People

  • Ann M. Killary

Organizations

  • The University of Texas MD Anderson Cancer Center

Tags

DTIC Thesaurus Topics

  • Biomedical Research
  • Cell Line
  • Cell Physiological Processes
  • Cells
  • Chromosome Structures
  • Chromosomes
  • Gene Expression
  • Genetic Phenomena
  • Genetic Structures
  • Genetics
  • Genome
  • Human Genome
  • Medical Personnel
  • Microsatellites
  • Neoplasms
  • Prostate
  • Prostate Cancer

Fields of Study

  • Biology

Readers

  • Molecular and genetic basis of cancer.
  • Theoretical Analysis.

Technology Areas

  • Space