A novel scoring method based on RNA-Seq immunograms describing individual cancer-immunity interactions.

ABSTRACT: Because of the complexity of cancer-immune system interactions, combinations of biomarkers will be required for predicting individual patient responses to treatment and for monitoring combination strategies to overcome treatment resistance. To this end, the "immunogram" has been proposed as a comprehensive framework to capture all relevant immunological variables. Here, we developed a method to convert transcriptomic data into immunogram scores (IGS). This immunogram includes 10 molecular profiles, consisting of innate immunity, priming and activation, T cell response, interferon γ (IFNG) response, inhibitory molecules, regulatory T cells, myeloid-derived suppressor cells (MDSCs), recognition of tumor cells, proliferation, and glycolysis. Using genes related to these 10 parameters, we appl

SUBMITTER: Kobayashi Y 

PROVIDER: S-EPMC7648030 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature