117 Ultrahigh-plex to high-throughput spatial phenotyping: an integrated pathway from discovery to translational and clinical studies

• DOI: 10.1136/jitc-2023-sitc2023.0117
• Publication Date: 2023-10-31T13:36:41Z
• Authors: Aditya Pratapa; Ning Ma; Lorcan Sherry; Matthew MacFarlane; Gabriel Reines March; Niyati Jhaveri; Najiba Mammadova
• Keywords: Biomarker Discovery; Immune checkpoint

<h3>Background</h3> The pathway from discovery to clinical adoption of predictive spatial biomarkers (spatial signatures) for immunotherapy response requires a solution that bridges ultrahigh-plex experiments with targeted high-throughput translational and studies. A critical step toward ensuring the successful transition is harmonizing technologies staining, imaging, data analysis. aim this study demonstrate how integration multiplexed imaging Akoya Biosciences® associated analysis methods provides an effective workflow phenotyping tumor microenvironment (TME) across continuum. <h3>Methods</h3> Here we profiled array human formalin-fixed, paraffin-embedded (FFPE) cancer tissues using PhenoCode™ Discovery panels (PDP) comprising cell lineage, structural, immune activation, checkpoint markers on PhenoCycler®-Fusion (PCF) biology platform. This was followed by running Signature (PSP) key contexture, macrophage polarization, T activation status identified studies in PhenoImager® HT Image performed images deep learning algorithms developed Visiopharm® segment specific tissue regions interest (ROI) perform accurate detection classification different phenotypes. Spatial interactions among cell-types were also explored neighborhood identification distinct signatures. <h3>Results</h3> We have phenotyped multiple types quantified distributions, their interactions. Our analyses revealed relationships within types. Immune profiling coupled complementary signature correlation analysis, paving way more approach signatures outcomes. <h3>Conclusions</h3> combination panels, quantitative image allows deeper characterization complex cellular microenvironment. These methodologies shorten developing identifying biomarker value. further highlights importance Akoya's robust end-to-end workflows deliver optimal facilitate interpretation pathologically samples development