Real-world association between the androgen receptor gene polymorphisms (CAG repeats) and aggressiveness of prostate cancer at diagnosis in the Medstar Health Network.

N Nilansh Kataria (MedStar Washington Hospital Center, Washington, DC) S Snehankitha Nagarale (MedStar Georgetown University Medical Center, Washington, DC) Y Yanbao Xiong (MedStar Georgetown University Medical Center, Washington, DC) S Sravya Jannapureddy (Department of Internal Medicine, MedStar Georgetown University Hospital, Washington, DC) R Rachel Alexander (MedStar Georgetown University Medical Center, Washington, DC) S Suraj Singh J Jeffrey Riskin (Medstar Georgetown University Hospital, Washington, DC) B Bassem R. Haddad (Georgetown University Medical Center, Washington, DC) A Adil Adil Alaoui (Georgetown University Medical Center, Washington, DC) K Kepher Makambi (Georgetown University Medical Center, Washington, DC) G Gregory Dyson (Karmanos Cancer Institute/Department of Oncology, Detroit, MI) N Nancy Ann Dawson (Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC) M Mary Beth Martin (Georgetown University Medical Center, Washington, DC) Y Yuriy Gusev P Paul Denis Leger (Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC)

Abstract

e17143 Background: Clinical manifestations of prostate cancer (PC) range from indolent to aggressive disease. Androgen receptor (AR) signaling is central to PC biology, and the AR gene contains a polymorphic CAG trinucleotide repeat in exon 1. Shorter repeat lengths ( < 20) have been associated with increased PC susceptibility; however, their relationship with disease aggressiveness and clinical outcomes remains unclear. Established indicators of aggressiveness include prostate-specific antigen (PSA), clinical stage, and Gleason score (GS), while time to progression and overall survival reflect long-term prognosis. Clarifying the association between AR CAG repeat length and these outcomes may improve understanding of PC biology and risk stratification at diagnosis. Methods: Men with biopsy-proven prostate cancer were included in this retrospective analysis within the MedStar Health Network from 2016–2024. Next-generation sequencing of tissue biopsy samples was used to determine androgen receptor (AR) CAG repeat length in exon 1. Patients were categorized as having short ( < 20 repeats) or long (≥20 repeats) CAG repeat length. PSA level, Gleason score, and clinical stage at diagnosis were obtained from medical records. Ordinal logistic regression was used to assess associations between CAG repeat length ( > 20 vs ≤20) and Gleason risk category or clinical stage at diagnosis, while linear regression was used to assess the association with PSA level. Time-to-event outcomes were evaluated using Cox proportional hazards regression, and Kaplan–Meier survival curves were compared using the log-rank test. Results: A total of 128 men were included in the cohort, of whom 43 (33.6%) had short AR CAG repeats and 85 (66.4%) had long repeats. Using ordinal logistic regression, AR CAG repeat length ( > 20 vs ≤20) was not significantly associated with Gleason score (p = 0.62) or clinical stage at diagnosis (p = 0.17). Linear regression showed no significant association between PSA levels and CAG repeat category (p = 0.47). In Cox proportional hazards analyses, CAG repeat length > 20 was not associated with all-cause mortality compared with ≤20 repeats (HR, 0.91; 95% CI, 0.43-1.95; p = 0.814) or with time to disease progression (HR, 1.13; 95% CI, 0.65-1.98, p = 0.663). Conclusions: In this retrospective cohort, AR CAG repeat length was not significantly associated with established markers of tumor aggressiveness at diagnosis or with clinical outcomes, including progression and overall survival. Despite limited sample size and event rates, this study demonstrates the feasibility of incorporating somatic AR CAG repeat analysis into clinical datasets. Larger, prospective studies are warranted to better define the potential prognostic role of AR CAG repeat length and to explore its utility in risk stratification and personalized management of PC.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (15)

N

Nilansh Kataria

MedStar Washington Hospital Center, Washington, DC

S

Snehankitha Nagarale

MedStar Georgetown University Medical Center, Washington, DC

Y

Yanbao Xiong

MedStar Georgetown University Medical Center, Washington, DC

S

Sravya Jannapureddy

Department of Internal Medicine, MedStar Georgetown University Hospital, Washington, DC

R

Rachel Alexander

MedStar Georgetown University Medical Center, Washington, DC

S

Suraj Singh

J

Jeffrey Riskin

Medstar Georgetown University Hospital, Washington, DC

B

Bassem R. Haddad

Georgetown University Medical Center, Washington, DC

A

Adil Adil Alaoui

Georgetown University Medical Center, Washington, DC

K

Kepher Makambi

Georgetown University Medical Center, Washington, DC

G

Gregory Dyson

Karmanos Cancer Institute/Department of Oncology, Detroit, MI

N

Nancy Ann Dawson

Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC

M

Mary Beth Martin

Georgetown University Medical Center, Washington, DC

Y

Yuriy Gusev

P

Paul Denis Leger

Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC