Does the Phenotyping of Disseminated Prostate Cancer Cells in Blood and Bone Marrow Prior to Radical Prostatectomy Provide Prognostic Information?

Abstract

Nearly 20% of men who undergo a radical prostatectomy later relapse with bone metastases. The cellular events that are predictive of subsequent progressive disease remain unknown. We've focused attention on the detection of disseminated prostate cancer (Cap) cells in the blood and bone marrow. Our hypothesis is that these disseminated cells may provide critical insight regarding biomarkers of use in prognostication. We've developed enrichment and isolation techniques that allow the isolation of individual disseminated CaP cells for study as a pool of cells or single cells. Our proposal is to isolate these cells from 50 patients prior to radical prostatectomy and from 10 patients with advanced disease. The cells will be both phenotypically and molecularly analyzed. To date 96 patients have been accrued and the analyses well underway. For example, we are finding that 57% of patients prior to radical prostatectomy have disseminated CaP cells in their bone marrow. Also, we show a correlation between patients with cytokeratin positive cells and human epithelial positive cells. In 56% of specimens having disseminated CaP cells we found aberrant features of chromosome 8 by FISH analysis. Micro-array gene expression analysis is planned on single cells from the first 10 patients to recur.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2004
Accession Number
ADA435227

Entities

People

  • Robert L. Vessella

Organizations

  • University of Washington

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Blood
  • Blood Cells
  • Bone Marrow
  • Cells
  • Chemical Reactions
  • Chemistry
  • Detection
  • Dna Microarrays
  • Epithelial Cells
  • Gene Expression
  • Language
  • Microarray Analysis
  • Pcr Testing
  • Polymerase Chain Reaction
  • Prostate Cancer
  • Statistical Analysis

Fields of Study

  • Biology
  • Medicine

Readers

  • Immunology and Pathology
  • Molecular Biology and Genetics
  • Oncology and Biomarker-Based Cancer Detection.