Multiplexed ion beam imaging (MIBI) for characterization of the tumor microenvironment across tumor types

• Published in: Laboratory investigation 2020-08, Vol.100 (8), p.1111-1123
• Main Authors: Ptacek, Jason, Locke, Darren, Finck, Rachel, Cvijic, Mary-Ellen, Li, Zhuyin, Tarolli, Jay G., Aksoy, Murat, Sigal, Yari, Zhang, Yi, Newgren, Matt, Finn, Jessica
• Format: Article
• Language: English
• Subjects: 14; 14/63; 631/1647/245; 631/250/2503; 631/67/327; 631/67/580; 82/51; 82/58; Antibodies; B7-H1 Antigen - metabolism; Biomarkers; Biomarkers, Tumor - metabolism; Bladder cancer; Composition; Cytotoxicity; Diagnosis, Differential; Diagnostic Imaging - methods; Humans; Imaging; Immune system; Immunoregulation; Ion beams; Laboratory Medicine; Lymphocytes; Lymphocytes T; Macrophages; Macrophages - metabolism; Medicine; Medicine & Public Health; Multiplexing; Neoplasms - classification; Neoplasms - diagnostic imaging; Paraffin; Paraffins; Parameter sensitivity; Pathology; PD-1 protein; PD-L1 protein; Phenotypes; Phenotyping; Programmed Cell Death 1 Receptor - metabolism; Reproducibility of Results; Sensitivity and Specificity; Spatial analysis; T-Lymphocytes, Cytotoxic - metabolism; Tumor cells; Tumor Microenvironment; Tumors; Urothelial carcinoma
• ISSN: 0023-6837; 1530-0307; 1530-0307
• DOI: 10.1038/s41374-020-0417-4

An ability to characterize the cellular composition and spatial organization of the tumor microenvironment (TME) using multiplexed IHC has been limited by the techniques available. Here we show the applicability of multiplexed ion beam imaging (MIBI) for cell phenotype identification and analysis of spatial relationships across numerous tumor types. Formalin-fixed paraffin-embedded (FFPE) samples from tumor biopsies were simultaneously stained with a panel of 15 antibodies, each labeled with a specific metal isotope. Multi-step processing produced images of the TME that were further segmented into single cells. Frequencies of different cell subsets and the distributions of nearest neighbor distances between them were calculated using this data. A total of 50 tumor specimens from 15 tumor types were characterized for their immune profile and spatial organization. Most samples showed infiltrating cytotoxic T cells and macrophages present amongst tumor cells. Spatial analysis of the TME in two ovarian serous carcinoma images highlighted differences in the degree of mixing between tumor and immune cells across samples. Identification of admixed PD-L1+ macrophages and PD-1+ T cells in an urothelial carcinoma sample allowed for the detailed observations of immune cell subset spatial arrangement. These results illustrate the high-parameter capability of MIBI at a sensitivity and resolution uniquely suited to understanding the complex tumor immune landscape including the spatial relationships of immune and tumor cells and expression of immunoregulatory proteins. The ability to characterize the cellular composition and spatial organization of the tumor microenvironment has been limited by the techniques available to image the necessary number of biomarkers for broad phenotyping at a subcellular resolution. This study demonstrates the capabilities of Multiplexed Ion Beam Imaging (MIBI) for cell phenotype identification and their spatial relationships across multiple tumor types.