Application of a Novel Multiplex Imaging-Based Immunotherapy Panel and AI-Powered Analysis Solution for Spatial Biomarker Identification on Immunotherapy-Treated Melanoma Patients

Identifying biomarkers that predict patient response to immunotherapy is critical for optimizing treatment strategies and improving clinical outcomes. Despite the success of immunotherapy, a significant proportion of patients do not respond to treatment. Thus, there is an urgent need for more robust methods to differentiate responders from non-responders. 

Spatial biology, which examines the precise localization and interaction of cells within the tissue, plays a crucial role in understanding the complex tumor-immune microenvironment. In this study, we present a novel multiplex imaging-based immunotherapy panel and a comprehensive analysis pipeline to characterize the spatial distribution and function of immune cells and its application for spatial biomarker identification in a cohort of immunotherapy- and targeted therapy-treated melanoma patients.