Innovative Multi-Omics and Mapping Techniques Enhance Lung Cancer Treatment Predictions
TL;DR Summary
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.
Topics:health#biomarkers#immunotherapy#medicine#non-small-cell-lung-cancer#predictive-signatures#spatial-multi-omics
- Spatial signatures for predicting immunotherapy outcomes using multi-omics in non-small cell lung cancer Nature
- ‘Google Maps’ Approach to Revolutionize Lung Cancer Treatment Yale School of Medicine
- 'Revolutionary' research predicts success of lung cancer treatment Australian Broadcasting Corporation
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