Non-Invasive Diagnosis of Androgen Sensitivity in Human Prostate Tumors

Abstract

We characterized human prostate tumors by histology and quantitative NMR spectroscopy to determine if altered prostate gene expression produced NMR detectable changes in several metabolites (e.g., citrate, traicylglycerols, taurine, tyronsine). These may provide sensitive and specific predictors of the presence, and the androgen sensitivity, of prostatic adenocarcinoma. Our investigations provided a sound biochemical basis for the application of non invasive, in vivo NMR spectroscopy to assess tumor differentiation and androgen sensitivity in prostate cancer patients. We established a conventional tissue diagnosis by optical histology and computer-aided measurement of epithelial area, on the NMR tissue samples, assigned a Cleason score to each sample, and performed in vitro quantitative 1H and 13C NMR spectroscopic measurements of the metabolic markers on tissue samples form human prostate tumors and adjacent non tumor tissue. Computer based Linear Discriminant Analysis will be used to develop a discrimination function based on the NMR spectroscopic measurements, the histology, Cleason score, and PSA measurements, and the patient's progress, to determine the most specific and sensitive NMR spectroscopic predictors of tumor diagnosis, grade, and hormonal sensitivity. We then applied NMR spectroscopy to human patients to measure the metabolites determined above as the most sensitive and specific predictors of grade, stage, and hormonal responsiveness, and will compare the measurements with patient outcomes.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2004
Accession Number
ADA425182

Entities

People

  • Laurel O. Sillerud

Organizations

  • University of New Mexico

Tags

DTIC Thesaurus Topics

  • Amino Acids
  • Cancer
  • Chemical Shifts
  • Chemical Synthesis
  • Chemistry
  • Computers
  • Discriminant Analysis
  • Diseases And Disorders
  • Magnetic Resonance
  • Measurement
  • Metabolism
  • Neoplasms
  • Nuclear Magnetic Resonance
  • Prostate
  • Prostate Cancer
  • Rodents
  • Tissues

Readers

  • Oncology and Biomarker-Based Cancer Detection.
  • Prostate Cancer Biology.
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.