Molecular analysis of androgen receptor splice variant AR-V3 reveals eminent ambiguity regarding activity and

Neele Wüstmann1, Verena Humberg1, Julia Vieler1

  • 1Department of Urology, University Hospital Muenster, Albert-Schweitzer Campus 1 A1, 48149, Muenster, Germany.

PubMed
Abstract

Insights

Androgen receptor variant 3 (AR-V3) shows no independent activity in prostate cancer cells and is not a reliable biomarker for predicting response to AR-targeted agents, despite an association with shorter overall survival.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Androgen receptor (AR) splice variants (AR-Vs) are implicated in prostate cancer (PC) treatment resistance.
  • AR-V3 is frequently detected, but its function and clinical relevance are debated.

Purpose of the Study:

  • To comprehensively investigate the molecular structure, activity, and clinical relevance of AR-V3.
  • To determine if AR-V3 isoforms possess autonomous function or serve as predictive biomarkers for AR-targeted agents (ARTAs).

Main Methods:

  • Constructed and transfected AR-V3 isoforms (AR-V3ref, AR-V322Rv1) into AR-negative PC cells.
  • Assessed localization, transcriptional activity (luciferase assays), RNA sequencing, and protein structure (AlphaFold2).
  • Evaluated nonsense-mediated decay (NMD) and analyzed AR-V3 expression in circulating tumor cells (CTCs) from patients undergoing ARTA treatment.

Main Results:

  • AR-V3 isoforms lacked specific gene expression, autonomous nuclear translocation, and transcriptional activity without AR full-length (AR-FL).
  • Protein structure modeling showed poor confidence, particularly in the N-terminal domain.
  • AR-V3 expression in CTCs correlated with shorter overall survival (OS) but not progression-free survival (PFS) or PSA response to ARTAs.

Conclusions:

  • AR-V3 isoforms are functionally inactive and not substrates for NMD.
  • AR-V3 lacks predictive value for ARTA response, indicating limited utility as a biomarker.
  • Functional validation is crucial before clinical application of potential biomarkers.