Most recent single-cell and spatial biology studies have focused on the network of interactions between different cell types and their spatial context. However, studying tumor biology at two different levels — the interacting cell types as well as the tissue regions within which they are organized — can give further insight into tumor progression and immunotherapy response.
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.
- How to use high-dimensional imaging to study tumor biology at the single-cell and tissue architecture levels
- How spatial interactions between cellular aggregates in the tumor microenvironment contribute to disease progression and prognosis in colorectal cancer