What question did this study set out to answer?

Investigate biological mechanisms behind prostate cancer disparities between African American and European American men using AI-guided multi-omics integration.

April 5, 2026

Abstract 6211: AI-guided spatial multi-omics integration reveals immune and stromal heterogeneity underlying population disparities in prostate cancer

Key Points

Investigate biological mechanisms behind prostate cancer disparities between African American and European American men using AI-guided multi-omics integration.
Developed an AI-based framework for spatial characterization of the tumor microenvironment.
Employed CODA for histological segmentation of prostate tumor sections from African American and European American patient samples.
Integrated spatial transcriptomics with segmentation maps for biological annotation of the tumor microenvironment.
Conducted functional analysis of distinct tumor microenvironment niches.
AA tumors displayed higher immune infiltration and inflammatory activity compared to EA tumors.
Integration with spatial proteomics data revealed immune clusters and discordance between transcript expression and protein signaling.
Achieved over 90% classification accuracy for tumor compartment analysis.

Abstract

Abstract Prostate cancer disproportionately affects African American (AA) men, who experience higher incidence and mortality rates than European American (EA) men. The purpose of this study was to develop and apply an artificial intelligence (AI)-based framework to investigate biological mechanisms contributing to these disparities through spatial characterization of the tumor microenvironment (TME). We employed CODA, a computational method that reconstructs large tissues at subcellular resolution from serially sectioned hematoxylin and eosin (H Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 6211.

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Authors

Samuel Mwakisha Mwamburi

Jevon Layne

Niki Talebian

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Cancer Research

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Johns Hopkins University

Johns Hopkins Medicine

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Abstract 6211: AI-guided spatial multi-omics integration reveals immune and stromal heterogeneity underlying population disparities in prostate cancer

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Abstract

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