Innovative Multi-Omics and Mapping Techniques Enhance Lung Cancer Treatment Predictions
This study develops spatial multi-omics and machine learning-based biomarkers to predict immunotherapy outcomes in advanced non-small cell lung cancer, highlighting the roles of immune cell spatial organization, macrophage PD-L1 expression, and gene signatures in resistance and response, validated across multiple cohorts.