Machine learning reveals a PD-L1–independent prediction of response to immunotherapy of non-small cell lung cancer by gene expression context
Marcel Wiesweg, Fabian Mairinger, Henning Reis, Moritz Goetz, Jens Kollmeier, Daniel Misch, Susann Stephan-Falkenau, Thomas Mairinger, Robert Walter, Thomas Hager, Martin Metzenmacher, Wilfried Eberhardt, Gregor Zaun, Johannes Köster, Martin Stuschke, Clemens Aigner, Kaid Darwiche, Kurt Werner Schmid, Sven Rahmann, Martin Schüler
Topics & Concepts
Context (archaeology)ImmunotherapyOncologyLung cancerMedicineProportional hazards modelHazard ratioPD-L1Internal medicineCancerFeature selectionImmunohistochemistryCancer researchMachine learningBiologyComputer scienceConfidence intervalPaleontologyCancer Immunotherapy and BiomarkersFerroptosis and cancer prognosisRadiomics and Machine Learning in Medical Imaging