NanoString’s GeoMx Digital Spatial Profiling Platform Reveals Insights Into the Immune Landscape of Cancer in Publication in the Journal Cell

Image: Current cover of the journal Cell (Graphic: Business Wire)
The study, “Spatially organized multicellular immune hubs in human colorectal cancer,” was led by Drs.
The study investigated a cohort of 28 mismatch repair-proficient tumors and 34 mismatch repair-deficient colorectal cancer samples. In a subset of these tumors with a high number of potentially tumor-reactive T cells, the authors quantified cellular programs defined by single cell RNA-seq and mapped their interactions using the GeoMx Cancer Transcriptome Atlas (CTA) assay across 135 regions of interest, thus revealing the spatial transcriptional regulation that organizes immune-malignant cell networks. The auto segmentation capabilities of the DSP, which allows for tissue compartment-based profiling based on cellular phenotype, were essential to localizing transcriptional signatures to specific cell populations.
“To validate the interaction between malignant and T cell programs, we performed spatially-indexed transcript profiling on our patient tumor sections. We observed a positive correlation between interferon stimulated gene expression in malignant epithelial areas and CXCL13 expression in adjacent non-epithelial areas across all regions. From our single cell RNA-seq data we knew that CXCL13 was specifically expressed by chronically stimulated, potentially tumor-reactive T cells,” said Pelka. “These findings further support potential interactions between malignant cells and T cells in this hub via a chemokine mediated network,” added co-author
“This study demonstrates the power of combining conventional single cell gene expression and GeoMx Digital Spatial Profiling enabled by Next Generation Sequencing readout,” said
The GeoMx DSP enables researchers to rapidly and quantitatively characterize tissue morphology with a high-throughput, high-plex RNA and protein profiling system that preserves precious samples for future analyses.
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