Biology subjects

Strijker, J. G. M.

Publications and source records attributed to Strijker, J. G. M..

3 recordsLinked to original sources

bioRxiv2025

Proteomic profiling of the neuroblastoma secretome identifies extracellular vesicles as drivers of T cell suppression

Immunosuppressive tumor microenvironments in solid tumors hamper the efficacy of immunotherapies, including CAR T-cell therapy. To identify immunosuppressive secreted factors in high-risk neuroblastoma, a childhood solid tumor with a 5-year overall survival of below 60%, we mapped secreted factors of 16 genetically diverse patient-derived neuroblastoma tumoroids by LC-MS. The secretomes suppressed T cell activation, proliferation and cytotoxicity to varying extents, suggesting that this panel constituted a valuable discovery foundation to identify clinically relevant immunosuppressive factors. 29 proteins were significantly enriched in highly suppressive secretomes, of which Neuropeptide Y (NPY) had the highest correlation with functionally-determined immunosuppression. No direct or indirect effect of NPY on (CAR) T cell activation could be validated. Instead, NPY proved to be a biomarker for extracellular vesicle (EV) secretion. Finally, we demonstrated that neuroblastoma-derived EVs potently suppress T cell activation. Altogether, this study provides an atlas of the neuroblastoma secretome and reveals immunosuppressive effects of EVs on T cells. These insights contribute to the understanding of the immunosuppressive neuroblastoma TME.

cancer biology↗

bioRxiv2024

Blocking MIF secretion enhances CAR T-cell efficacy against neuroblastoma

While chimeric antigen receptor (CAR) T-cell therapies are showing highly promising first results in neuroblastoma, immunosuppressive tumor microenvironments (TME) limit T cell persistence and durable clinical efficacy. To improve CAR T-cell efficacy further, we applied a multi-omics approach including single-cell RNA sequencing and proteomics, which identified 13 targetable immunosuppressive factors in neuroblastoma. Of these, macrophage migration inhibitory factor (MIF) and midkine (MDK) were validated across multiple published RNA datasets. Moreover, they were secreted in high abundance by neuroblastoma tumoroids. Functional validation experiments revealed MIF as a potent inhibitor of CAR T-cells, in vitro and in vivo. Degradation of MIF by PROTAC technology significantly enhanced CAR T-cell activation targeting GPC2 and B7-H3, providing a potential intervention against MIF. By defining the immunosuppressive effects of neuroblastomas TME on CAR T-cell efficacy, particularly the pivotal role of MIF, we provide a therapeutic strategy for improving adoptive cell therapies for this pediatric malignancy.

cancer biology↗

bioRxiv2022

Integrative analysis of neuroblastoma by single-cell RNA sequencing identifies the NECTIN2-TIGIT axis as a target for immunotherapy

Pediatric patients with high-risk neuroblastoma have poor survival rates and urgently need more effective treatment options with less side effects. As novel and improved immunotherapies may fill this need, we dissected the immunoregulatory interactions in neuroblastoma by single-cell RNA-sequencing of 25 tumors (10 pre- and 15 post-chemotherapy, including 5 pairs) to identify strategies for optimizing immunotherapy efficacy. Neuroblastomas were infiltrated by NK, T and B cells, and immunosuppressive myeloid populations. NK cells showed reduced cytotoxicity and T cells had a dysfunctional profile. Interaction analysis revealed a vast immunoregulatory network and identified NECTIN2-TIGIT as a crucial immune checkpoint. Combined blockade of TIGIT and PD-L1 significantly reduced neuroblastoma growth, with complete responses in vivo. Moreover, addition of TIGIT blockade to standard relapse treatment in a chemotherapy-resistant Th-ALKF1174L/MYCN 129/SvJ syngeneic model significantly improved survival. Concluding, our integrative analysis of neuroblastomas vast immunoregulatory network provides novel targets and a rationale for immunotherapeutic combination strategies.

cancer biology↗