Abstract ED7-2: Multiplex spatial proteomic profiling

Abstract

Abstract Multiplex spatial analysis is touted as a potential solution for tissue biomarkers for prognostic and companion diagnostic applications. Spatial analysis infers maintaining the location of a biomolecule so that both its amount and context can contribute to the information obtained. Immunohistochemistry (IHC) is the archetypal method of spatial profiling and the only application that has made it to the clinic. In this session, we will discuss technologies based on IHC, but that allow assessment of at least two, and as many as 100 or more proteins within the cell or molecular compartment that maintains spatial context. The simplest and most common approach is multiplex immunofluorescence, followed by a number of next generation techniques that use alternative labeling of the antibodies or cycling strategies or both to generate spatially informed data. Excluding Mass spectrometry-based methods, still in early stages, the highest “plex” method for protein is digital spatial profiling. Digital spatial profiling (DSP) uses a molecular method to define spatial compartments which is different from other high-plex methods that use cell segmentation, an image analysis method that largely depends on the presence of a cell nucleus in the image. As a result, the DSP method allows assessment of both cellular and non-cellular stromal compartments. DSP and other high-plex methods that will be discussed are thought to be best used as biomarker discovery tools, that might find biomarkers that can be measured with a more traditional approach for assessment in the clinic. Citation Format: David Rimm. Multiplex spatial proteomic profiling [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr ED7-2.