Predicting cancer immunotherapy response by highly multiplexed tumor imaging
12 Sep 2022

Cancer immunotherapies have shown dramatic efficacy in subsets of patients with advanced cancer. However, >70% of patients do not benefit from these therapies. The risk of severe adverse effects is substantial and associated costs are enormous. Novel predictive markers are needed to stratify patients into probable responders and non-responders before therapy initiation.

The tumor microenvironment (TME) – the main site of tumor-immune cell interactions – crucially regulates antitumoral immunity and immunotherapy response. In this webinar, discover how Prof. Dr. Christian Schürch used PhenoCycler (formerly CODEX) highly multiplexed microscopy to thoroughly characterize TME cell types, their spatial interactions, and the tumor architecture to predict patient response to immunotherapy in various cancers. Plus, discover how coordinated ‘cellular neighborhoods’ play important roles in antitumoral immunity and that the spatial distances between effector immune cells, regulatory immune cells and tumor cells is associated with immunotherapy outcomes. In the future, Prof. Dr. Schürch envisions implementing more simplified spatial scores into clinical decision making to improve prediction for cancer immunotherapy.

Key learning objectives

  • Discover what coordinated ‘cellular neighborhoods’ are, and the important roles they play in antitumoral immunity
  • Learn how spatial distances between effector immune cells, regulatory immune cells and tumor cells are associated with immunotherapy outcomes
  • Discover what emerging spatial biology techniques will enable implementation of more simplified spatial scores into clinical decision making to improve prediction for cancer immunotherapy

Who should attend?

Pathologists, biologists, bioengineers, and computational biologists interested in learning spatial biology technologies and applications

Certificate of attendance
All webinar participants can request a certificate of attendance, including a learning outcomes summary, for continuing education purposes.

Akoya Biosciences