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Related Experiment Video

Updated: May 12, 2026

An Orthotopic Murine Model of Human Prostate Cancer Metastasis
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An Orthotopic Murine Model of Human Prostate Cancer Metastasis

Published on: September 18, 2013

Immune Spatial Organization Predicts Distant Metastasis Risk in Aggressive Localized Prostate Cancer.

David D Yang1, Aya Abdelnaser2, Alexander J Haas1

  • 1Dana-Farber Cancer Institute Boston United States.

Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|May 11, 2026
PubMed
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This summary is machine-generated.

Computational pathology reveals immune spatial clustering as a novel biomarker for prostate cancer (PCa) risk stratification. This interpretable approach identifies immune features linked to reduced distant metastasis risk in high-grade PCa.

Area of Science:

  • Computational pathology
  • Cancer research
  • Immunology

Background:

  • Computational pathology offers potential for prostate cancer (PCa) risk stratification.
  • Existing methods often lack interpretability or focus solely on tumor morphology.

Purpose of the Study:

  • To identify an interpretable computational pathology biomarker derived from the immune microenvironment for PCa.
  • To assess the association between immune spatial clustering and distant metastasis in PCa patients.

Main Methods:

  • Utilized two cohorts (n=490) with M0 PCa and whole-slide images (WSIs) for discovery and validation.
  • Employed deep learning (CellViT) for immune cell identification and DBSCAN for spatial clustering.
  • Performed immune cell deconvolution (CIBERSORTx) and immune receptor repertoire reconstruction (TRUST4).

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Pre-clinical Orthotopic Murine Model of Human Prostate Cancer
07:01

Pre-clinical Orthotopic Murine Model of Human Prostate Cancer

Published on: August 29, 2016

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Last Updated: May 12, 2026

An Orthotopic Murine Model of Human Prostate Cancer Metastasis
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Published on: September 18, 2013

Intra-Cardiac Injection of Human Prostate Cancer Cells to Create a Bone Metastasis Xenograft Mouse Model
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Intra-Cardiac Injection of Human Prostate Cancer Cells to Create a Bone Metastasis Xenograft Mouse Model

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Pre-clinical Orthotopic Murine Model of Human Prostate Cancer

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Main Results:

  • Increased immune spatial clustering was associated with a decreased risk of distant metastasis in high-grade (Gleason 8-10) PCa.
  • This association was not observed in lower-grade (Gleason 6-7) PCa.
  • High-cluster samples in Gleason 8-10 PCa were enriched for CD8+ T cells, Tregs, and clonal T cell populations.

Conclusions:

  • Immune spatial clustering represents a novel, interpretable computational pathology biomarker for PCa.
  • This biomarker provides insights into the distinct immune microenvironment of high-grade PCa.
  • Findings support the utility of immune-based computational pathology for improved PCa risk assessment.