1161-Mapping Spatial Tumor-Immune Interactions

Paper Talk · Jun 21, 2026 · 21m

This research introduces a graph neural network (GNN) framework designed to analyze the complex spatial relationships within the tumor microenvironment of non-small cell lung cancer. By modeling localized cellular neighborhoods, the study successfully predicts patient survival with high accuracy, outperforming traditional density-based metrics. The analysis reveals that the prognostic impact of immune cells, such as CD8+ T cells, is heavily dependent on their spatial context and proximity to tumor or immunosuppressive cells. Using in-silico manipulations, the authors demonstrate how specific…