Abstract Objectives: Computational pathology has emerged as an attractive option for improving risk stratification in prostate cancer (PCa), but current approaches either lack interpretability or focus solely on tumor morphology, potentially limiting their utility. We aimed to identify an interpretable, immune microenvironment-derived computational pathology biomarker for PCa. Methods: We retrospectively identified two independent cohorts (Discovery and Validation) with localized PCa who underwent radical prostatectomy (RP) and had digitized H=0. 09). In the Discovery Cohort, while increasing immune cluster was not associated with BCR (P=0. 10), it was independently associated with a decreased risk of DM for Gleason 8-10 (adjusted hazard ratio AHR 0. 42, 95% confidence interval CI 0. 19-0. 93) but not Gleason 6-7 patients (AHR 1. 26, 95% CI 0. 77-2. 05; Pint=0. 020). Similar results were observed in the Validation Cohort, where increasing immune cluster was not associated with BCR (P=0. 10) but was associated with a lower risk of DM in Gleason 8-10 disease (AHR 0. 60, 95% CI 0. 37-0. 98), though not Gleason 6-7 (AHR 1. 19, 95% CI 0. 74-1. 91; Pint=0. 043). In TCGA Cohort (n=326), immune cluster was not associated with somatic alterations. For Gleason 8-10 but not Gleason 6-7 disease, high-cluster samples were enriched for CD8+ T cells, activated memory CD4+ T cells, and Tregs (P=0. 037), as well as clonal T cell populations (P=0. 039). Conclusions: Our findings nominate immune spatial clustering as a novel, interpretable computational pathology biomarker and provide insights into the unique immune features of high-grade PCa. Citation Format: David D. Yang, Aya Abdelnaser, Alexander J. Haas, Jeremiah Wala, Alfred A. Barney, Eddy Saad, Jett P. Crowdis, Cora A. Ricker, Seifeldin Awad, Bora Gurel, Jihye Park, Martin T. King, Paul L. Nguyen, Toni K. Choueiri, David J. Einstein, Steven P. Balk, Alok K. Tewari, Johann S. de Bono6, Keyan Salari, Mary-Ellen Taplin, Chin-Lee Wu, Eliezer M. Van Allen. . Immune spatial organization predicts metastasis risk in aggressive localized prostate cancer abstract. In: Proceedings of the AACR Special Conference in Cancer Research: Innovations in Prostate Cancer Research and Treatment; 2026 Jan 20-22; Philadelphia PA. Philadelphia (PA): AACR; Cancer Res 2026;86 (2Suppl): Abstract nr PR001.
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David D. Yang
Aya Abdelnaser
Alexander J. Haas
Cancer Research
Brigham and Women's Hospital
Massachusetts General Hospital
Dana-Farber Cancer Institute
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Yang et al. (Tue,) studied this question.
www.synapsesocial.com/papers/6971bdec642b1836717e2879 — DOI: https://doi.org/10.1158/1538-7445.prostateca26-pr001