ISPAT-3D: Spatially Varying Conditional Volumetric Network Estimation for 3D Tumor Imaging

↔Treg at maximal density, consistent with cytotoxic suppression at the tumor core. In BC, the shared network shows near-perfect conditional coupling between cancer-associated fibroblasts and the myoepithelial layer, while zone-specific networks reveal CAF↔endothelial co-localisation at intermediate and high burden, consistent with angiogenic remodeling, and a B cell↔CAF association confined to high-density zones, consistent with tertiary lymphoid structure formation. Across both tumors, ISPat-3D identifies volumetric spatial conditional interactions not recoverable from 2D sections.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-04-21
DOI
https://doi.org/10.64898/2026.04.16.719017
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
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article

ISPAT-3D: Spatially Varying Conditional Volumetric Network Estimation for 3D Tumor Imaging

Sagnik Bhadury, A Rao
bioRxiv (Cold Spring Harbor Laboratory)
Single-cell and spatial transcriptomics
article

ISPAT-3D: Spatially Varying Conditional Volumetric Network Estimation for 3D Tumor Imaging

Sagnik Bhadury, A Rao
article en

Abstract

↔Treg at maximal density, consistent with cytotoxic suppression at the tumor core. In BC, the shared network shows near-perfect conditional coupling between cancer-associated fibroblasts and the myoepithelial layer, while zone-specific networks reveal CAF↔endothelial co-localisation at intermediate and high burden, consistent with angiogenic remodeling, and a B cell↔CAF association confined to high-density zones, consistent with tertiary lymphoid structure formation. Across both tumors, ISPat-3D identifies volumetric spatial conditional interactions not recoverable from 2D sections.

bioRxiv (Cold Spring Harbor Laboratory)
University of Michigan (US)
Good health and well-being
Openalex Percentile: Top 16%
Single-cell and spatial transcriptomics
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