Prediction of biomarkers and therapeutic combinations for anti-PD-1 immunotherapy using the global gene network association.

ABSTRACT: Owing to a lack of response to the anti-PD1 therapy for most cancer patients, we develop a network approach to infer genes, pathways, and potential therapeutic combinations that are associated with tumor response to anti-PD1. Here, our prediction identifies genes and pathways known to be associated with anti-PD1, and is further validated by 6 CRISPR gene sets associated with tumor resistance to cytotoxic T cells and targets of the 36 compounds that have been tested in clinical trials for combination treatments with anti-PD1. Integration of our top prediction and TCGA data identifies hundreds of genes whose expression and genetic alterations that could affect response to anti-PD1 in each TCGA cancer type, and the comparison of these genes across cancer types reveals that the tumor immunoreg

SUBMITTER: Wu CC 

PROVIDER: S-EPMC8748689 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature