DR-228 Artificial intelligence based predictive model for response to Immune Checkpoint inhibitors based on multiplex immunohistochemistry and whole genome analysis (ARCTIC)

Immunotherapy, like nivolumab and pembrolizumab, has drastically improved the survival of many cancer patients. However, some patients do not clinically benefit from treatment with immunotherapy. Many predictive biomarkers have been proposed to anticipate if a patient will be a so called responder or non-responder. However, none seem to be completely predictive. As immunotherapy can cause major side effects and is very costly, unnecessary treatment has to be avoided as much as possible. Therefore, the Erasmus MC and HMF are collaborating in a biomarker study (ARCTIC) to stratify patients who will benefit from ICI. The ARCTIC project combines existing clinical predictors with immune profiles and the genomic features, generated by the HMF in the same individuals, to develop a prognostic/stratification signature for selecting which individuals will benefit from ICI treatment.

Andrew Stubbs Erasmus MC the Netherlands