Clinical Utility of Transcriptomic Signatures to Identify Androgen Receptor and Neuroendocrine Signaling in Prostate Cancer

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Authors: Yu-Wei Chen, Joanne Xiu, Kelsey Anne Poorman, Charles J. Ryan, Brady Gilg, Matthew James Oberley, Gloria Hopkins Sura, George W. Sledge, Shuang G. Zhao, Alan Tan, Himisha Beltran, Rana R. McKay
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References: 32

Abstract

PURPOSE This study aimed to define molecular subtypes of prostate cancer by integrating androgen receptor (AR) signaling, neuroendocrine prostate cancer (NEPC) transcriptional signatures, and genomic alterations to inform biomarker-driven therapies in metastatic castration-resistant prostate cancer. METHODS We analyzed 8,019 prostate tumors using DNA/RNA sequencing (Caris Life Sciences), classifying them into four molecular subtypes (AR+/NE–, AR–/NE+, AR+/NE+, AR–/NE–). Genomic alterations, cell surface target expression, and overall survival (OS) were evaluated. RESULTS Of the 8,019 tumors, 87.2% were adenocarcinoma, 1.9% NEPC, and 0.4% had mixed histology; 63% were from primary sites and 36.5% from metastases. The median age was 68 years; 63% were White, 15% Black, and 2.6% Asian or Pacific Islander. Most tumors were classified as AR+/NE– (91%), and 4.6% were AR-/NE+. TP53 and PTEN alterations were enriched in AR–negative subtypes, whereas SPOP mutations were more frequent in AR+ tumors. FOLH1 (prostate-specific membrane antigen) expression was the highest in AR+ tumors, whereas DLL3 expression was elevated in NE+ tumors. Median OS was significantly longer in tumors with high AR signaling (55.0 v 14.0 months, P < .00001) and lower with the NEPC signature (54.3 v 16.1 months, P < .00001). Combined stratification showed the most favorable outcome in AR+/NE– tumors (55.3 months) and the poorest in AR–/NE+ tumors (12.0 months). CONCLUSION Prostate cancer exhibits distinct molecular subtypes defined by AR signaling activity, NEPC transcriptional profiles, and genomic alterations. These biologically and clinically relevant subgroups provide a framework for precision oncology approaches and inform patient selection for biomarker-driven trials such as the ongoing PREDICT study (ClinicalTrials.gov identifier: NCT06632977 ).

Fields of Study & Subjects

Prostate Cancer Treatment and Research Prostate Cancer Diagnosis and Treatment Chromatin Remodeling and Cancer

Publication details

Journal / source
JCO Precision Oncology
Volume
10
Issue
3
Pages
e2500756–e2500756
Publication date
1 March 2026
Language
EN