Colorectal cancer GeoMx spatial transcriptome. Homo sapiens

Increasing evidences suggest that it is necessary to find effective and robust clinically validated prognostic biomarkers that can identify high-risk colorectal cancer (CRC) patients. Currently, available prognostic factors largely include clinical-pathological parameters and focuses on the cancer stage at the time of diagnosis. NanoString GeoMx digital spatial profiling (DSP) was applied to perform spatially resolved RNA profiling analysis in colorectal cancer tissue. We performed a cell-type deconvolution and correlation analysis of 97 areas of illumination (AOIs) across all slides in mixed stroma/tumor regions. The Cancer Transcriptome Atlas (CTA) panel was used. 5 colon cancer patients and 4 rectal cancer patients were used.