Noninvasive Detection of AR-FL/AR-V7 as a Predictive Biomarker for Therapeutic Resistance in Men with Metastatic Castration-Resistant Prostate Cancer

Abstract

Understanding primary and acquired resistance to abiraterone and enzalutamide, and developing analytically validated and clinically qualified predictive biomarkers, remains a critically important unmet medical need. We propose non-invasive detection of full-length androgen receptor (AR-FL) and the androgen receptor splice variant 7 (AR-V7) (AR-FL/AR-V7) as a predictive biomarker for therapeutic resistance in men with metastatic castration-resistant prostate cancer. Using a laboratory-developed, RNA-based assay modified from a commercially available circulating tumor cell (CTC) detection platform, we have developed standard operating procedures and performed extensive internal validation and quality control studies to determine its feasibility for detection of AR-FL/AR-V7 in blood samples. Although our recent studies show data supporting this predictive biomarker, analytical validation is required prior to clinical use, and a large-scale, multi-institutional study is needed to further establish clinical utility. The overall objective of the project is to enable precision therapy of metastatic castration-resistant prostate cancer by developing non-invasive tests for the AR-FL/AR-V7.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2018
Accession Number
AD1064014

Entities

People

  • Jun Luo

Organizations

  • Johns Hopkins University

Tags

DTIC Thesaurus Topics

  • Biomedical Research
  • Carcinoma
  • Cell Physiological Processes
  • Cells
  • Chemical Reactions
  • Chemical Synthesis
  • Chemistry
  • Crystal Structure
  • Detection
  • Epithelial Cells
  • Gene Expression
  • Health Services
  • Lymphatic System
  • Lymphocytes
  • Medical Personnel
  • Neoplasms
  • Oncology
  • Prostate Cancer
  • Proteins
  • Quality Control
  • Tissues

Readers

  • Computational Modeling and Simulation
  • Oncology
  • Prostate Cancer Biology.