 The study identified 1084 eqtls associated with the tumor immune microenvironment, time. These eqtls were enriched in areas of active transcription and associated with gene expression in specific immune cell subsets, such as macrophages and dendritic cells. Polygenic scores based on these eqtls accurately stratified cancer risk, survival, and immune checkpoint blockade, ICB, response across multiple independent cohorts. Additionally, inhibiting a gene implicated by the polygenic model, ctss, resulted in slower tumor growth and longer survival in vivo. This suggests that incorporating germline variation and time characteristics can be used to identify potential targets for immunotherapy. This article was authored by Meghana Papadola, Timothy J. Sears, Victoria H. Wu, and others.