Abstract

Abstract Recent advances in immunotherapy, particularly chimeric antigen receptor (CAR)-engineered T cell therapy, have shown promise for the treatment of many tumor types including progressive recurrent glioblastoma (GBM). While early phase clinical trials have illuminated the potential for CAR T cell therapy to effectively treat GBM, they have also highlighted the unique challenges regarding the efficacy and safety of immunotherapy for brain tumors, and many patients continue to progress during therapy. We seek to overcome these challenges and ultimately extend the time of survival for patients diagnosed with GBM by investigating the immune- and tumor-mediated mechanisms driving variation in response to CAR T cell therapy. We generated the first multi-omics time-series dataset of CAR T cells, endogenous immune cells, and tumor cells from 59 GBM patients treated with CAR T cell therapy. Using single cell RNA-sequencing and simultaneous quantification of nearly 200 cell surface proteins, we comprehensively profiled the cellular phenotypes and signaling pathways within tumor and circulating immune cells that are associated with treatment response. The combination of mRNA and protein expression allowed us to resolve cell states beyond what either modality was capable of alone. Additionally, we found differentially expressed genes and proteins between tumor biopsies collected before and after CAR T cell therapy as well as differential expression between pre-infusion CAR T cells and those identified within the tumor following infusion. By evaluating the CAR T cell phenotypes prior to and during treatment we sought to address the outstanding question of how intrinsic variability impacts the activity and persistence of CAR T cells and to determine the phenotypes that confer the greatest therapeutic benefit for patients with GBM. Our results have direct implications for precision medicine and future clinical trials investigating the use of CAR T cell therapy for GBM as well as other solid tumors.

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