Abstract 3877: Deep ultrahigh-plex spatial phenotyping of human cancer tissues

Abstract

Abstract Spatial phenotyping is poised to revolutionize cancer research and treatment. Technologies like CO-Detection by indEXing (CODEX), which enable the detection of dozens of protein biomarkers in situ, have already transformed immuno-oncology and are expected to play formative roles in future research. To further support the implementation of CODEX in cancer research, we present a comprehensive 100 antibody panel that is aimed at in-depth identification of immune cell lineages, activation states, immune checkpoints, tissue structure, cellular signaling, apoptosis, DNA damage and cellular metabolism. Deployment of this panel is possible at high-throughput on the CODEX platform, which is a fully-integrated spatial biology solution that provides cyclical multiplexed imaging at unprecedented resolution and rapid turn-around time. The key features of this novel spatial biology system include: 1) true single-cell and sub-cellular resolution, 2) unparalleled biomarker imaging depth on whole FFPE samples, 3) wide-ranging compatibility with whole slide FFPE tissues, 4) panel customization and flexibility via dedicated barcodes, 5) uncompromised access to whole tissues, and 6) sophisticated single-cell analytical metrics. In this study, we generate a comprehensive account of the spatial biology in different tumor tissues including lung cancer, colon cancer, and melanoma using the CODEX instrument. Single-cell spatial phenotyping coupled with deep bioinformatic analyses reveals new quantitative phenotypic and spatial information that will be essential to gain further insights into distinct cellular neighborhoods and their role in regulating immune and metabolic functions of certain cancers. Citation Format: Niyati Jhaveri, Nadya Nikulina, Hailing Zong, Ning Ma, Bassem Ben Cheikh, Aditya Pratapa, Yasmin Kassim, Bhaskar Anand, Michael Prater, Subham Basu, Oliver Braubach. Deep ultrahigh-plex spatial phenotyping of human cancer tissues [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3877.