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.
Authors
- Sagnik Bhadury (ORCID: https://orcid.org/0009-0003-2966-0678)
- A Rao
Institutions
- University of Michigan (US)
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
- 0.00