Abstract 89: TissueTrek: An interactive multimodal web-based platform for exploring spatial morphology-molecular relationships in cancer.
Key Points
The aim is to develop an accessible platform for exploring spatial morphology-molecular relationships in cancer.
Built on a cohort of 57 triple-negative breast cancer tissue cores.
Annotated tumor regions of interest by board-certified pathologists.
Extracted multiple modalities from H&E images, spatially profiled genes, and proteins.
Integrated machine learning outputs to enhance interpretability.
Utilized web technologies for real-time exploration of spatial data.
TissueTrek offers the first ROI-resolved interface for simultaneous visualization of multiple data types.
Enables interactive exploration of spatial gene and protein expression alongside pathomic features.
Facilitates understanding of complex spatial morphology-molecular relationships in tumors.
Provides interpretable maps that enhance insight into tumor biology.
Abstract
Abstract Background: The spatial organization of epithelial, stromal, and immune compartments plays a fundamental role in shaping tumor behavior, yet researchers and clinicians lack accessible tools to concurrently explore morphology, pathomic features, and spatial molecular measurements. Existing methods typically examine a single modality at a time, require specialized expertise, or offer limited interpretability. To address this gap, we developed TissueTrek, an interactive web-based platform that integrates H Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 89.