Trial reportEuropean urology oncology2025
Digital Pathology-based Artificial Intelligence Biomarker Validation in Metastatic Prostate Cancer.
Trial report in European urology oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Transforming histologic assessment: artificial intelligence in cancer diagnosis and personalized treatment.British journal of cancer · 2025Pooled it
- Development and Validation of a Computational Histology Artificial Intelligence-Powered Biomarker in Metastatic Hormone-Sensitive Prostate Cancer on Randomized Phase III Trials.JCO precision oncology · 2026Trial
- AI-driven model for early failure prediction after HIFU integrating immediate post-ablation ultrasound and clinical data.World journal of urology · 2026Article
- A Deep Learning-Based Multimodal Clinico-Histology-Genomic Prognostic Model in Prostate Cancer.Annals of surgical oncology · 2026Article
- The pre-metastatic niche: mechanisms, heterogeneity, and therapeutic opportunities.Molecular cancer · 2026Review
- Modern integrative prostate cancer diagnostics.Current opinion in urology · 2026Review
- The state of the art in artificial intelligence and digital pathology in prostate cancer.Nature reviews. Urology · 2026Review
- Early Initiation of novel hormonal therapy is associated with improved survival in synchronous bone-metastatic hormone-sensitive prostate cancer: a retrospective cohort study from China.Frontiers in oncology · 2026Article
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
BACKGROUND AND
objectiveOwing to the expansion of treatment options for metastatic hormone-sensitive prostate cancer (mHSPC) and an appreciation of clinical subgroups with differential prognosis and treatment responses, prognostic and predictive biomarkers are needed to personalize care in this setting. Our aim was to evaluate a multimodal artificial intelligence (MMAI) biomarker for prognostic ability in mHSPC.
methodsWe used data from the phase 3 CHAARTED trial; 456/790 patients with mHSPC had evaluable digital histopathology images and requisite clinical variables to generate MMAI scores for inclusion in our analysis. We assessed the association of MMAI score with overall survival (OS), clinical progression (CP), and castration-resistant PC (CRPC) via univariable Cox proportional-hazards and Fine-Gray models. KEY FINDINGS AND LIMITATIONS: In the analysis cohort, 370 patients (81.1%) were classified as MMAI-high and 86 (18.9%) as MMAI-intermediate/low risk. Estimated 5-yr OS was 39% for the MMAI-high, 58% for the MMAI-intermediate, and 83% for the MMAI-low groups (log-rank p < 0.001). The MMAI score was associated with OS (hazard ratio [HR] 1.51, 95% confidence interval [CI] 1.33-1.73; p < 0.001), CP (subdistribution HR 1.54, 95% CI 1.36-1.74; p < 0.001), and CRPC (subdistribution HR 1.63, 95% CI 1.45-1.83; p < 0.001). The proportion of MMAI-high cases was 50.0%, 83.7%, 66.7%, and 92.1% in the subgroups with low-volume metachronous (n = 74), low-volume synchronous (n = 80), high-volume metachronous (n = 48), and high-volume synchronous (n = 254) mHSPC, respectively. The MMAI biomarker remained prognostic after adjustment for treatment, volume status, and diagnosis stage. CONCLUSIONS AND CLINICAL IMPLICATIONS: Our findings show that the MMAI biomarker is prognostic for OS, CP, and CRPC among patients with mHSPC, regardless of clinical subgroup or treatment received. Further investigations of MMAI biomarkers in advanced PC are warranted. PATIENT SUMMARY: We looked at the performance of an artificial intelligence (AI) tool that interprets images of samples of prostate cancer tissue in a group of men whose cancer had spread beyond the prostate. The AI tool was able to identify patients at higher risk of worse outcomes. These results show the potential benefit of AI tools in helping patients and their health care team in making treatment decisions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.