Peptide-scFv antigen recognition domains effectively confer CAR T cell multiantigen specificity

The emergence of immune escape is a significant roadblock to developing effective chimeric antigen receptor (CAR) T cell therapies against hematological malignancies, including acute myeloid leukemia (AML). Here, we demonstrate feasibility of targeting two antigens simultaneously by combining a GRP78-specific peptide antigen recognition domain with a CD123-specific scFv to generate a peptide-scFv bispecific antigen recognition domain (78.123). To achieve this, we test linkers with varying length and flexibility and perform immunophenotypic and functional characterization. We demonstrate that bispecific CAR T cells successfully recognize and kill tumor cells that express GRP78, CD123, or both antigens and have improved antitumor activity compared to their monospecific counterparts when both antigens are expressed. Protein structure prediction suggests that linker length and compactness influence the functionality of the generated bispecific CARs. Thus, we present a bispecific CAR design strategy to prevent immune escape in AML that can be extended to other peptide-scFv combinations.

Integrome signatures of lentiviral gene therapy for SCID-X1 patients

Lentiviral vector (LV)-based gene therapy holds promise for a broad range of diseases. Analyzing more than 280,000 vector integration sites (VISs) in 273 samples from 10 patients with X-linked severe combined immunodeficiency (SCID-X1), we discovered shared LV integrome signatures in 9 of 10 patients in relation to the genomics, epigenomics, and 3D structure of the human genome. VISs were enriched in the nuclear subcompartment A1 and integrated into super-enhancers close to nuclear pore complexes. These signatures were validated in T cells transduced with an LV encoding a CD19-specific chimeric antigen receptor. Intriguingly, the one patient whose VISs deviated from the identified integrome signatures had a distinct clinical course. Comparison of LV and gamma retrovirus integromes regarding their 3D genome signatures identified differences that might explain the lower risk of insertional mutagenesis in LV-based gene therapy. Our findings suggest that LV integrome signatures, shaped by common features such as genome organization, may affect the efficacy of LV-based cellular therapies.

Deleting DNMT3A in CAR T cells prevents exhaustion and enhances antitumor activity

Chimeric antigen receptor (CAR) T cell therapy is revolutionizing cancer immunotherapy for patients with B cell malignancies and is now being developed for solid tumors and chronic viral infections. Although clinical trials have demonstrated the curative potential of CAR T cell therapy, a substantial and well-established limitation is the heightened contraction and transient persistence of CAR T cells during prolonged antigen exposure. The underlying mechanism(s) for this dysfunctional state, often termed CAR T cell exhaustion, remains poorly defined. Here, we report that exhaustion of human CAR T cells occurs through an epigenetic repression of the T cell’s multipotent developmental potential. Deletion of the de novo DNA methyltransferase 3 alpha (DNMT3A) in T cells expressing first- or second-generation CARs universally preserved the cells’ ability to proliferate and mount an antitumor response during prolonged tumor exposure. The increased functionality of the exhaustion-resistant DNMT3A knockout CAR T cells was coupled to an up-regulation of interleukin-10, and genome-wide DNA methylation profiling defined an atlas of genes targeted for epigenetic silencing. This atlas provides a molecular definition of CAR T cell exhaustion, which includes many transcriptional regulators that limit the “stemness” of immune cells, including CD28, CCR7, TCF7, and LEF1. Last, we demonstrate that this epigenetically regulated multipotency program is firmly coupled to the clinical outcome of prior CAR T cell therapies. These data document the critical role epigenetic mechanisms play in limiting the fate potential of human T cells and provide a road map for leveraging this information for improving CAR T cell efficacy.