Development of a Novel, Non-Invasive Diagnostic Test for Prostate Cancer

Abstract

Hypothesis: The overall objective is to provide, for routine clinical use, a simple and reliable method for identifying patients with prostate cancer so that transrectal ultrasound guided biopsies can be restricted to men harboring PCa. Our broad strategy will involve the use of selected markers for sensitive detection of cancer cells in ejaculate. Objectives: (1) To recruit patients for a prospective clinical trial in a screening assay of patient ejaculate and urine samples from which PCa cells will be isolated by (2) immunocapture using antibodies to specific cell-surface markers and (3) detected by real-time PCR, with a combination of genes upregulated in PCa. These methods will be refined for application for routine laboratory use. Logistic regression analysis will be used with the above combination of PSMA, DD3 and Hepsin to determine each patient's probability of harboring PCa. This data will be correlated with clinical data obtained by conventional diagnostic methods. Relevance: It is our strong expectation that this research will lead to provision of a simple and reliable approach for diagnosing PCa, in the longer term reducing the need for the invasive, imprecise and unpleasant procedure of TRUS-guided prostatic biopsies. In addition we expect that the earlier detection will be associated with and even greater proportion of cancer localised to the prostate at time of diagnosis.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA446691

Entities

People

  • Robert A. Gardiner

Organizations

  • University of Queensland

Tags

DTIC Thesaurus Topics

  • Biomedical Research
  • Cell Line
  • Cells
  • Chemical Synthesis
  • Chemistry
  • Clinical Trials
  • Data Analysis
  • Data Science
  • Gene Expression
  • Health Services
  • Information Science
  • Medical Personnel
  • Neoplasms
  • Prostate Cancer
  • Proteins
  • Regression Analysis
  • Statistical Analysis

Fields of Study

  • Medicine

Readers

  • Oncology and Biomarker-Based Cancer Detection.
  • Prostate Cancer Biology.
  • Regression Analysis.