Figure 1 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer

IMC workflow defines the single-cell spatial landscape of the NSCLC tumor microenvironment. A, TRACERx 100 IMC cohort. We developed and applied two IMC antibody panels, Pan-immune and T cells and stroma, to tissue microarrays (TMA) from clinical samples collected at surgical resection (created with BioRender.com). B, Targets of antibodies described in this study. Bold text indicates targets detected in both IMC panels. C, IMC data were acquired from stained TMAs and processed to identify single cells and their phenotypes. D, 40,000 μm² crops of IMC images representing the markers from B with corresponding cell types from the pan-immune panel, unless annotated with an asterisk for the T cells and stroma panel only. E, A heat map of the z-score normalized median intensities of markers from the pan-immune panel across the identified cell subtypes. F, Proportion of major immune cell types identified in the pan-immune IMC data set per TMA core, calculated over the total tissue area (illustrated as blue and gold domains), tumor/epithelial compartment (gold domain), or the stromal compartment (blue domain). In two normal cores, the epithelial cell signal reflected very thin cells, which were not resolved into an epithelial compartment. All data from these cores are represented by the stroma compartment. Cell types color legend applies to D and F, where asterisks denote cell types identified in T cells and stroma panel only. LUAD, lung adenocarcinoma; LUSC, lung squamous cell carcinoma; NSCLC, non–small cell lung cancer; other, other non–small cell lung cancer histologies; IMC, imaging mass cytometry.