A Hierarchical Spatial Graph Neural Network Resolves Immunogenic and Tolerogenic Tertiary Lymphoid Structures in Renal Cell Carcinoma
This paper introduces a hierarchical graph neural network that leverages spatial transcriptomics to accurately distinguish between immunogenic and tolerogenic tertiary lymphoid structures in renal cell carcinoma, revealing that bulk CXCL13 expression often reflects non-TLS exhaustion rather than productive immunity and demonstrating the model's robustness through high clinical validation and cross-cancer generalization.