Dr. Garry Nolan and his team at Stanford University collaborated with the University of Bern to conduct deep single-cell phenotyping and spatial analysis on a cohort of colorectal cancer formalin-fixed, paraffin-embedded samples using the CODEX (CO-Detection by indEXing) platform from Akoya Biosciences. As a result, the authors discovered nine distinct cellular neighborhoods, each uniquely composed of certain immune and cancer cell types. These cellular neighborhoods were found to interact with one another in a manner that correlated with disease progression and prognosis. In this webinar, Dr. Nolan will discuss the findings from the study and present an analytical framework to analyze high-dimensional imaging data that can reveal new insights into how the tumor microenvironment is organized.
Dr. Garry Nolan and his team at Stanford University collaborated with the University of Bern to conduct deep single-cell phenotyping and spatial analysis on a cohort of colorectal cancer formalin-fixed, paraffin-embedded samples using the CODEX (CO-Detection by indEXing) platform from Akoya Biosciences. As a result, the authors discovered nine distinct cellular neighborhoods, each uniquely composed of certain immune and cancer cell types. These cellular neighborhoods were found to interact with one another in a manner that correlated with disease progression and prognosis.
In this webinar, Dr. Nolan will discuss the findings from the study and present an analytical framework to analyze high-dimensional imaging data that can reveal new insights into how the tumor microenvironment is organized.