Trial reportClinical cancer research : an official journal of the American Association for Cancer Research2026
AI-Based Pathology Classifier Predicts Sensitivity to Enzalutamide in Metastatic Hormone-Sensitive Prostate Cancer: A Biomarker Analysis of the ENZAMET Trial.
Trial report in Clinical cancer research : an official journal of the American Association for Cancer Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02446405 (Randomised Phase 3 Trial of Enzalutamide in First Line Androgen Deprivation Therapy for Metastatic Prostate Cancer), which is not on this map. Cited by 2 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Randomised Phase 3 Trial of Enzalutamide in First Line Androgen Deprivation Therapy for Metastatic Prostate Cancer: ENZAMET
Who cites it
2 citing papers in PubMed.
- AI-Based Pathology Classifier Predicts Sensitivity to Enzalutamide in Metastatic Hormone-Sensitive Prostate Cancer: A Biomarker Analysis of the ENZAMET Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Trial
- Artificial intelligence in oncology: linking biological discovery to clinical utility.Molecular cancer · 2026Review
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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
Abstract
purposeThe ENZAMET trial established that enzalutamide added to androgen deprivation therapy (ADT) improves overall survival (OS) in metastatic hormone-sensitive prostate cancer (mHSPC), but treatment response is heterogeneous. We tested whether the artificial intelligence pathology image classifier (APIC), previously developed and locked in CHAARTED, predicts OS benefit from enzalutamide in ENZAMET. EXPERIMENTAL
designThis biomarker study applied APIC to digitized hematoxylin and eosin specimens from ENZAMET [Australian and New Zealand Urogenital and Prostate Cancer Trials Group (ANZUP) 1304, NCT02446405]. ENZAMET randomized participants with mHSPC to ADT plus enzalutamide or nonsteroidal antiandrogen (NSAA), with early concurrent docetaxel permitted. APIC was applied without modification or retraining. The prespecified primary analysis evaluated the treatment-by-APIC interaction for OS using Cox models adjusted for standard clinical factors. Prespecified sensitivity analysis excluded participants receiving early concurrent docetaxel.
resultsAmong 1,125 participants, 492 with digitized tissue (median follow-up, 68.8 months) were eligible. APIC classified 316 (64%) as APIC negative and 176 (36%) as APIC positive. APIC significantly modified enzalutamide benefit (interaction P = 0.014). APIC-negative disease showed improved survival with enzalutamide versus NSAA [HR, 0.50; 95% confidence interval (CI), 0.35-0.73; 60-month OS, 76.5% vs. 58.3%], whereas APIC-positive disease showed limited evidence of benefit (HR, 1.04; 95% CI, 0.67-1.62; 60-month OS, 55.6% vs. 58.8%). In low-volume disease, enzalutamide improved survival in APIC-negative (HR, 0.31; 95% CI, 0.16-0.62) but not APIC-positive disease (HR, 1.04; 95% CI, 0.53-2.06; interaction P = 0.015). For non-docetaxel-treated participants, enzalutamide benefit was greater in APIC-negative (HR, 0.40; 60-month OS 82% vs. 61.0%) than in APIC-positive participants (HR, 0.79; 60-month OS, 62.8% vs. 57.6%).
conclusionsThe presence of APIC-negative disease identified participants with a major improvement in OS with the addition of enzalutamide to ADT compared with the addition of NSAA.
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