Ontology highlight
ABSTRACT: Background
Tumor histology reflects disease aggressiveness and clinical outcomes in cancer patients. Lung adenocarcinomas (LUADs) are classified based on predominant histologic patterns, including high-grade micropapillary and solid subtypes which portend unfavorable clinical features and prognosis. However, the cellular and molecular characteristics underlying these histologic subtypes remain largely unknown.Methods
We used scRNA-seq to profile 117,266 cells from 18 treatment-naïve LUADs with heterogeneous histologic patterns and also performed spatial transcriptomic analysis (10x Visium) for representative cases. By integrating single-cell transcriptomics with spatial information, we aimed to characterize the cellular identity and spatial organization driving LUAD heterog
SUBMITTER: Lee J
PROVIDER: S-EPMC12853583 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature