MARQO pipeline resolves multiparametric cellular and spatial organization in cancer tissue lesions

Abstract

Multiplex immunostaining analysis remains fragmented, underperforming, and labor-intensive despite tissue proteomic methodologies achieving ever-increasing marker complexity. Here we propose an open-source, semi-supervised automated pipeline that streamlines start-to-finish, single-cell resolution analysis of whole-slide tissue, named Multiplex-imaging Analysis, Registration, Quantification, and Overlaying (MARQO). We compared and validated MARQO using Multiplex Immunohistochemical Consecutive Staining on a Single Slide (MICSSS) using human tumor and adjacent normal tissue samples. Performance was compared with manually-curated pathologist determinations and quantification of multiple markers. We also optimized MARQO to analyze diverse tissue sizes (whole tissue, biopsy, tissue microarray) and staining approaches (singleplex immunohistochemistry, 20-color multiplex immunofluorescence) to determine marker co-expression patterns in multiple human solid cancer types. Lastly, we validated CD8 T cell enrichment in hepatocellular carcinoma responders to neoadjuvant cemiplimab in a phase II clinical trial, further demonstrating MARQOs ability to provide spatially-resolved in situ mechanisms by providing multiplex whole-slide single-cell resolution data.