Prediction of outcome from spatial Protein profiling of triple-negative breast cancers | Synapse
February 2, 2026Open Access
Prediction of outcome from spatial Protein profiling of triple-negative breast cancers
Key Points
The aim is to identify clinically relevant biomarkers and predict outcomes in triple-negative breast cancers using spatial protein profiling.
Conducted unbiased protein-based spatial analysis on tumor images.
Employed a segmentation-free approach to analyze protein distribution.
Successful identification of clinically relevant biomarkers.
Demonstrated efficacy of spatial analysis in predictive biology.
Abstract
Our results show that unbiased protein-based and segmentation-free spatial analysis is effective for identifying clinically relevant biomarkers from multiplex tumor images and identifying predictive biology.