Biomarker Based Individual Risk Assessment for Prostate Cancer

Abstract

The goal of this work is to develop a biomarker profile of prostate cancer risk, based on cell signaling proteins that serve as high-level biomarkers of cellular subsystems; e.g., tissue transglutaminase (TTGase), cadherins or catenins, and gelsolin, G-actin or thymosin-beta. TTGase, cadherins, and G-actin are strong biomarkers of prostate cancer and may be strong biomarkers of field disease and premalignancy. The biomarker profile will identity individuals for prostate cancer prevention and rebiopsy, with high sensitivity and specificity, complementing serum PSA screening that captures 95% of prostate cancer cases with only 20% specificity. Protein biomarkers are quantified in single cells by Quantitative Fluorescence Imaging Analysis (QFlA), which requires stoichiometric labeling of high-quality tissue specimens. A complex and highly integrated configuration of standard operating procedures, tissue culture models, and optimal tissue specimens has been developed and recent implementation supports down regulation of TTGase as a biomarker for prostate premalignancy. Fluorescence signals are currently generated with organic fluorophores but we are now investigating inorganic nanocrystals for biomarker labeling and expect, during the next year of this award, to apply nanocrystal-antibody conjugates to analysis of multiplexed signals from single cells as part of our development of an extensive QFlA data set with prostate specimens.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2003
Accession Number
ADA420787

Entities

People

  • George P. Hemstreet Iii

Organizations

  • University of Nebraska Medical Center

Tags

DTIC Thesaurus Topics

  • Alcohols
  • Cell Line
  • Chemistry
  • Crystal Structure
  • Department Of Defense
  • Diseases And Disorders
  • Fluorescence
  • Fluorophores
  • Health Services
  • Measurement
  • Neoplasms
  • Proteins
  • Risk Analysis
  • Sodium Azides
  • Sodium Compounds
  • Standards
  • Tissue Culture

Readers

  • Molecular and Cellular Biochemistry
  • Oncology and Biomarker-Based Cancer Detection.