Tag: lung adenocarcinoma

A machine-learning model built on seven genes tied to mitochondrial outer membrane permeabilization stratifies lung adenocarcinoma patients into distinct survival ...

A multi-omics study maps lactate-glycolysis activity in lung adenocarcinoma to fibroblasts and neutrophils, revealing spatially organized metabolic niches linked to ...

A new integrative study identifies three lipid metabolism-related long non-coding RNAs that predict survival, immune landscape, and drug sensitivity in ...

A new mouse study shows that lung adenocarcinomas can evade KRAS inhibitors by reprogramming their cellular identity through transcription factors ...

A newly reported case shows that first-line lorlatinib achieved durable systemic and intracranial disease control in a patient with the ...

A new study maps the genomic and transcriptomic features of spread through air spaces in stage 1 lung adenocarcinoma, offering ...

A new Nature Genetics study combines spatial transcriptomics and lineage tracing to map how lung tumor subclones expand, reshape their ...

New research identifies endothelial CYP3A5 as a functional vulnerability in lung adenocarcinoma and shows that the natural flavonoid diosmetin suppresses ...

New research shows that lung adenocarcinoma cells package the protein SPP1 into extracellular vesicles to reprogram fibroblasts into an MMP11-positive ...

Researchers constructed a fourteen-gene triaptosis-related prognostic model for lung adenocarcinoma using transcriptomic analysis, machine learning, single-cell sequencing, and experimental validation.