Courtney Himsworth

Pediatric patients with high-risk neuroblastoma have poor survival rates and urgently need more effective treatment options with less side effects. Since novel and improved immunotherapies may fill this need, we dissect the immunoregulatory interactions in neuroblastoma by single-cell RNA-sequencing of 24 tumors (10 pre- and 14 post-chemotherapy, including 5 pairs) to identify strategies for optimizing immunotherapy efficacy. Neuroblastomas are infiltrated by natural killer (NK), T and B cells, and immunosuppressive myeloid populations. NK cells show reduced cytotoxicity and T cells have a dysfunctional profile. Interaction analysis reveals a vast immunoregulatory network and identifies NECTIN2-TIGIT as a crucial immune checkpoint. Combined blockade of TIGIT and PD-L1 significantly reduces neuroblastoma growth, with complete responses (CR) in vivo. Moreover, addition of TIGIT+PD-L1 blockade to standard relapse treatment in a chemotherapy-resistant Th-ALKF1174L/MYCN 129/SvJ syngeneic model induces CR. In conclusion, our integrative analysis provides promising targets and a rationale for immunotherapeutic combination strategies.

INTRODUCTION: Chimeric antigen receptor (CAR) T-cell therapy is a promising and innovative cancer therapy. However, immunosuppressive tumor microenvironments (TME) limit T cell persistence and durable efficacy. Here, we aimed to identify and target immunosuppressive factors in the TME of neuroblastoma, a pediatric extracranial solid tumor, to improve CAR-T efficacy. METHODS: Immunosuppressive factors were identified using a multi-omics approach, including single-cell RNA sequencing (scRNA-seq) of 24 neuroblastoma tumors, published bulk-RNA sequencing datasets, and mass-spectrometry of patient-derived tumoroid models. Candidate targets were validated with functional assays in vitro and in vivo. Protein degradation of the top immunosuppressive target by PROTAC technology was used to evaluate the effect on CAR T-cell activity. RESULTS: ScRNA-seq revealed 13 immunosuppressive interactions in the TME of neuroblastoma, two effectors of which, Midkine (MDK) and Macrophage Migration Inhibitory Factor (MIF), were validated as candidate targets across multiple published datasets. Both factors were among the top 6 % of most abundantly secreted factors by patient-derived tumoroid models, substantiating their potential relevance in the TME. In vitro and in vivo functional assays confirmed MIF to be a potent inhibitor of CAR T-cell activation and killing capacity. To translate these findings into a potentially clinically applicable treatment, we explored MIF targeting by PROTAC technology, which significantly enhanced activation of CAR T-cells targeting GPC2 and B7-H3. CONCLUSION: By defining the immunosuppressive effects of neuroblastoma's TME on CAR T-cell efficacy, revealing the pivotal role of MIF, we provide an analytic pipeline and therapeutic strategy for improving adoptive cell therapies for this pediatric malignancy and potentially other solid tumors.

CAR-T / tumor target interaction times, CAR-T cell expansion and sustained tumor control. Lower checkpoint receptor expression does not correlate with enhanced anti-tumor function. These results provide further insights into design of anti-B7H3 CAR-T cells for antigen-dim cell targeting, and avoidance of antigen-dim tumor relapse.

Abstract Chimeric Antigen receptor T cell (CAR-T) treatments for solid cancers have been compromised by limited expansion and survival in the tumor microenvironment following interaction with antigen-expressing target cells. Using B7H3 as a model antigen with broad clinical applicability, we evaluated the relationship between the antibody/antigen affinity of three clinical candidate binders and the three following functional characteristics: functional avidity, prolonged cytotoxicity in tumoroid re-stimulation assays, and in vivo anti-tumoral responses. BEHAV3D video-microscopy assessed distinct CAR-T cell behaviors at single cell resolution. T cell exhaustion did not dictate effector function. Rather, we demonstrated a threshold avidity of CAR-T / tumor cell interaction, characterized by longer cumulative CD8 + CAR-T / tumor target interaction times, and required for adequate CAR-T cell expansion to result in sustained tumor control upon re-challenge. These results provide new insights into design of CAR-T cells for antigen-dim cell targeting, and avoidance of antigen-dim tumor relapse.

BACKGROUND: Relapsed medulloblastoma remains a significant therapeutic challenge as it is near universally fatal. The tumor microenvironment of medulloblastoma plays a critical role in tumor progression, influencing tumor growth, immune evasion, and therapeutic resistance. We hypothesized that defining tumor-immune interactions in diagnostic and relapsed medulloblastoma may uncover mechanisms of immune evasion and identify novel therapeutic targets. METHODS: We analyzed paired primary and recurrent RNA-sequencing data from 140 medulloblastoma patients to profile immune cell composition and validate spatial relationships within the TME. To identify key tumor-immune interactions, we developed a novel algorithm to detect receptor-ligand pairs using single-cell RNA-sequencing data. These interactions were validated across RNA and proteomic datasets. Their functional significance was empirically demonstrated in newly developed immunocompetent models of recurrent medulloblastoma that closely recapitulate the human disease. RESULTS: We observed a shift toward a heightened immunosuppressive TME at relapse. Using our algorithm, we identified biologically significant receptor-ligand interactions, most notably MIF-CD74, constitutively expressed at RNA and protein levels across medulloblastoma subgroups, at diagnosis and relapse. Disrupting MIF-CD74 interactions led to significant alterations in the tumor microenvironment, highlighting its functional significance. CONCLUSIONS: Our multifaceted approach identified key tumor-immune interactions in medulloblastoma. Among these, MIF-CD74 was validated as a targetable interaction, demonstrating the utility of our integrative approach for identifying novel therapeutic targets across multiple tumor types.