Single-cell spatial landscapes of the lung tumour immune microenvironment.

ABSTRACT: Single-cell technologies have revealed the complexity of the tumour immune microenvironment with unparalleled resolution^1-9. Most clinical strategies rely on histopathological stratification of tumour subtypes, yet the spatial context of single-cell phenotypes within these stratified subgroups is poorly understood. Here we apply imaging mass cytometry to characterize the tumour and immunological landscape of samples from 416 patients with lung adenocarcinoma across five histological patterns. We resolve more than 1.6 million cells, enabling spatial analysis of immune lineages and activation states with distinct clinical correlates, including survival. Using deep learning, we can predict with high accuracy those patients who will progress after surgery using a single 1-mm^2</

SUBMITTER: Sorin M 

PROVIDER: S-EPMC9931585 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature