Androgen Receptor T878A and L702H Alterations Define Subsets of Prostate Cancer Patients with Distinct Outcomes to Androgen Receptor Pathway Inhibitors

Metastatic androgen pathway modulation-resistant (mAPMR) prostate cancer subtypes harboring androgen receptor (AR) alterations have distinct AR biology that may impact response to therapy. We hypothesized that patients harboring AR T878A would have superior responses to AR pathway inhibitor (ARPI) therapy based on prior preclinical data. We utilized a large genomic-clinical database to identify mAPMR patients with AR T878A, AR L702H and AR amplification and performed a matched assessment of ARPI treatment outcomes using real-world surrogate endpoints for treatment response. Among AR T878A patients treated with enzalutamide, time to treatment discontinuation (TTD) was longer relative to patients with AR L702H (8 mo (95% CI 4.6–44 mo) vs. 3.5 mo (95% CI 2.3–5.5 mo) log-rank p < 0.0001) or AR amplification (7.7 mo (95% CI 4.7–15.8 mo) vs. 4.8 mo (95% CI 4–5.1 mo) (log-rank p = 0.0034). Among the AR T878A patients treated with abiraterone, TTD was not significantly different relative to patients with AR L702H, but longer relative to patients with AR amplification (7.1 mo (95% CI 5–8.5 mo) vs. 4.2 mo (95% CI 3.5–5.4 mo) (log-rank p = 0.037). This study provides hypothesis generating evidence that outcomes for patients with AR LBD mutations may differ by mutation subtype. AR T878A may be relatively more sensitive to ARPI treatment than AR L702H or amplified AR.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-09-15
DOI
https://doi.org/10.3390/ijms27188199
Primary Topic
Prostate Cancer Treatment and Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Androgen Receptor T878A and L702H Alterations Define Subsets of Prostate Cancer Patients with Distinct Outcomes to Androgen Receptor Pathway Inhibitors

Samuel R. Parry, Emmanuel S. Antonarakis, Jayati Saha, Matthew Siskin et al.
International Journal of Molecular Sciences
Prostate Cancer Treatment and Research
article

Androgen Receptor T878A and L702H Alterations Define Subsets of Prostate Cancer Patients with Distinct Outcomes to Androgen Receptor Pathway Inhibitors

Samuel R. Parry, Emmanuel S. Antonarakis, Jayati Saha, Matthew Siskin, Alessandro Leal, David R. Wise
article en

Abstract

Metastatic androgen pathway modulation-resistant (mAPMR) prostate cancer subtypes harboring androgen receptor (AR) alterations have distinct AR biology that may impact response to therapy. We hypothesized that patients harboring AR T878A would have superior responses to AR pathway inhibitor (ARPI) therapy based on prior preclinical data. We utilized a large genomic-clinical database to identify mAPMR patients with AR T878A, AR L702H and AR amplification and performed a matched assessment of ARPI treatment outcomes using real-world surrogate endpoints for treatment response. Among AR T878A patients treated with enzalutamide, time to treatment discontinuation (TTD) was longer relative to patients with AR L702H (8 mo (95% CI 4.6–44 mo) vs. 3.5 mo (95% CI 2.3–5.5 mo) log-rank p < 0.0001) or AR amplification (7.7 mo (95% CI 4.7–15.8 mo) vs. 4.8 mo (95% CI 4–5.1 mo) (log-rank p = 0.0034). Among the AR T878A patients treated with abiraterone, TTD was not significantly different relative to patients with AR L702H, but longer relative to patients with AR amplification (7.1 mo (95% CI 5–8.5 mo) vs. 4.2 mo (95% CI 3.5–5.4 mo) (log-rank p = 0.037). This study provides hypothesis generating evidence that outcomes for patients with AR LBD mutations may differ by mutation subtype. AR T878A may be relatively more sensitive to ARPI treatment than AR L702H or amplified AR.

International Journal of Molecular SciencesVol. 27(18)
University of Minnesota (US), NYU Langone Health (US), Guardant (United States) (US)
Good health and well-being
Openalex Percentile: Top 12%
Prostate Cancer Treatment and Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.