Detection and Characterization of Treatment Emergent Neuroendocrine Prostate Cancer Using Hyperpolarized 13C Magnetic Resonance

Abstract

The goal of this proposal is to discriminate biologically divergent treatment-emergent neuroendocrine prostate cancer (NEPC) from advanced adenocarcinoma based on the metabolic profile of NEPC tumors and to use real-time changes in metabolism to monitor therapeutic efficacy by using novel hyperpolarized (HP) 13C metabolic imaging techniques. In the 1st year of funding, our major activities focused on collating preliminary studies for Aims 1 and 2 to establish feasibility. To this end for Aim 1, the probes (glutamine and acetate) were optimized for hyperpolarization technique and tested in cells and baseline TRAMP studies. Correlative measures of NEPC presence were developed using ELISA and serum enzyme activities in addition to IHC quantification. Furthermore preliminary metabolic profiling of TRAMP tumors showed altered substrate utilization with the onset of CRPC further strengthening our hypothesis of metabolic adaptations with treatment resistance. For Aim2, we did exhaustive feasibility of labeling studies in biopsy samples, and for the first time showed viability and detected ex vivo measures of glycolytic activity.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2020
Accession Number
AD1148563

Entities

People

  • Renuka Sriram

Organizations

  • University of California, San Francisco

Tags

DTIC Thesaurus Topics

  • Amino Acids
  • Androgen Receptors
  • Biomedical Research
  • Carcinoma
  • Chemistry
  • Confocal Microscopy
  • Culture Techniques
  • Detection
  • Detectors
  • Imaging Techniques
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Medical Personnel
  • Metabolic Diseases
  • Metabolic Pathways
  • Metabolism
  • Metabolomics
  • Neoplasms
  • Prostate Cancer
  • Resistance
  • Resonance
  • Students
  • Tissue Extracts

Fields of Study

  • Chemistry

Readers

  • Medical Imaging.
  • Oncology and Biomarker-Based Cancer Detection.
  • Prostate Cancer Biology.