Androgen receptor variant shows heterogeneous expression in prostate cancer according to differentiation stage

Abstract

Quantitation of androgen receptor variant (AR-V) expression in circulating tumor cells (CTCs) from patients with metastatic castration-resistant prostate cancer (mCRPC) has great potential for treatment customization. However, the absence of a uniform CTC isolation platform and consensus on an analytical assay has prevented the incorporation of these measurements in routine clinical practice. Here, we present a single-CTC sensitive digital droplet PCR (ddPCR) assay for the quantitation of the two most common AR-Vs, AR-V7, and AR-v567es, using antigen agnostic CTC enrichment. In a cohort of 29 mCRPC patients, we identify AR-V7 in 66% and AR-v567es in 52% of patients. These results are corroborated using another gene expression platform (NanoStringTM) and by analysis of RNA-Seq data from patients with mCRPC (SU2C- PCF Dream Team). We next quantify AR-V expression in matching EpCAM-positive vs EpCAM-negative CTCs, as EpCAM-based CTC enrichment is commonly used. We identify lower AR-V prevalence in the EpCAM-positive fraction, suggesting that EpCAM-based CTC enrichment likely underestimates AR-V prevalence. Lastly, using single CTC analysis we identify enrichment for AR-v567es in patients with neuroendocrine prostate cancer (NEPC) indicating that AR-v567es may be involved in lineage plasticity, which warrants further mechanistic interrogation.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 24, 2021
Source ID
10.1038/s42003-021-02321-9

Entities

People

  • Ada Gjyrezi
  • Allyson J. Ocean
  • Andrea Sboner
  • Daniel Worroll
  • David M. Nanus
  • Giuseppe Galletti
  • Himisha Beltran
  • Jiaren Zhang
  • Joseph M. Scandura
  • Karla V. Ballman
  • Manish A Shah
  • Michael Sigouros
  • Paraskevi Giannakakou
  • Scott T Tagawa
  • Seaho Kim
  • Victoria Cooley

Organizations

  • United States Department of Defense

Tags

Fields of Study

  • Biology

Readers

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