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Transcriptome profiling of prostatic tumours from ENACT trial patients with or without enzalutamide.

BJU international 2025 Vol.136(5) p. 920-929

Handa N, Shore ND, Cooperberg MR, Davicioni E, Zhao X, Elsouda D, Liu Y, Proudfoot JA, Kuperman G, Russell D, Iwata KK, Schaeffer EM, Ross A

📝 환자 설명용 한 줄

[OBJECTIVES] To evaluate the longitudinal transcriptomic changes that occurred over time in patients from the ENACT trial (ClinicalTrials.gov identifier: NCT02799745).

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • 표본수 (n) 57

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BibTeX ↓ RIS ↓
APA Handa N, Shore ND, et al. (2025). Transcriptome profiling of prostatic tumours from ENACT trial patients with or without enzalutamide.. BJU international, 136(5), 920-929. https://doi.org/10.1111/bju.16861
MLA Handa N, et al.. "Transcriptome profiling of prostatic tumours from ENACT trial patients with or without enzalutamide.." BJU international, vol. 136, no. 5, 2025, pp. 920-929.
PMID 40742002
DOI 10.1111/bju.16861

Abstract

[OBJECTIVES] To evaluate the longitudinal transcriptomic changes that occurred over time in patients from the ENACT trial (ClinicalTrials.gov identifier: NCT02799745). ENACT evaluated patients with low- or intermediate-risk prostate cancer, comparing the efficacy and safety of enzalutamide plus active surveillance (AS) to AS alone.

[PATIENTS AND METHODS] Gene-expression profiling was conducted using the Decipher Genomic Resource for Intelligent Discovery (GRID) platform (Veracyte, Inc.) on 131 patient samples (enzalutamide plus AS: n = 57; AS alone: n = 74) collected at screening, Year 1, and Year 2. Pre-defined GRID signatures were analysed for associations with biological and clinical features, including immune activity, treatment sensitivity, metastatic risk, and molecular subtypes. Statistical analyses utilised Cox proportional hazards models and logistic/linear regression, while longitudinal changes were evaluated using linear mixed-effects models.

[RESULTS] At Year 1, patients treated with enzalutamide plus AS showed significant transcriptomic changes, such as downregulation of androgen-receptor signalling and immune-suppressor signatures, alongside upregulation of immune-activated and basal-like markers. Many of these transcriptomic alterations, including immune-related changes, were transient and reverted to baseline levels at Year 2 after enzalutamide treatment cessation.

[CONCLUSION] This exploratory biomarker analysis highlights transcriptomic changes in patients undergoing AS and those treated with enzalutamide, providing insights into molecular disease progression on surveillance and the effects of transient exposure to enzalutamide. The observed immune modulation during enzalutamide treatment suggests opportunities to explore immunotherapy strategies.

MeSH Terms

Aged; Humans; Male; Middle Aged; Antineoplastic Agents; Benzamides; Gene Expression Profiling; Nitriles; Phenylthiohydantoin; Prostatic Neoplasms; Transcriptome; Watchful Waiting

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