Lung neuroendocrine tumours

This preprint presents a multi-omic dataset for lung neuroendocrine tumours from the lungNENomics cohort. The resource includes RNA sequencing, EPIC 850K methylation arrays, whole-genome sequencing, multi-regional sequencing, spatial proteomics, …

This preprint integrates genomics, transcriptomics, methylation, spatial profiling, morphology, and clinical data to refine the classification of lung neuroendocrine tumours. The proposed morpho-molecular groups expose clinically relevant tumour …