Publications by authors named "Berend Snijder"

A significant challenge for chimeric antigen receptor (CAR) T cell therapy against glioblastoma (GBM) is its immunosuppressive microenvironment, which is densely populated by protumoral glioma-associated microglia and macrophages (GAMs). Myeloid immune checkpoint therapy targeting the CD47-signal regulatory protein alpha (SIRPα) axis induces GAM phagocytic function, but CD47 blockade monotherapy is associated with toxicity and low bioavailability in solid tumors. In this work, we engineer a CAR T cell against epidermal growth factor receptor variant III (EGFRvIII), constitutively secreting a signal regulatory protein gamma-related protein (SGRP) with high affinity to CD47.

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  • Deep single-cell multi-omic profiling is an innovative method to study drug resistance in relapsed or refractory acute myeloid leukemia (AML).
  • The research combines various single-cell analyses and clinical data from 21 patients, revealing that treatment with both a hypomethylating agent and the Bcl-2 inhibitor venetoclax leads to reduced drug responsiveness compared to other treatment sequences.
  • The study identifies both known and new resistance mechanisms, suggesting alternative therapies like the PLK inhibitor volasertib and highlighting the potential of targeting CD36 in treatment-resistant AML blasts.
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Personalized treatment for patients with advanced solid tumors critically depends on the deep characterization of tumor cells from patient biopsies. Here, we comprehensively characterize a pan-cancer cohort of 150 malignant serous effusion (MSE) samples at the cellular, molecular, and functional level. We find that MSE-derived cancer cells retain the genomic and transcriptomic profiles of their corresponding primary tumors, validating their use as a patient-relevant model system for solid tumor biology.

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Glioblastoma, the most aggressive primary brain cancer, has a dismal prognosis, yet systemic treatment is limited to DNA-alkylating chemotherapies. New therapeutic strategies may emerge from exploring neurodevelopmental and neurophysiological vulnerabilities of glioblastoma. To this end, we systematically screened repurposable neuroactive drugs in glioblastoma patient surgery material using a clinically concordant and single-cell resolved platform.

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  • Pityriasis rubra pilaris (PRP) is a rare skin condition with unclear causes, but recent research identified IL-1β as a crucial factor in its development.
  • Treatment with IL-1 antagonists like anakinra and canakinumab led to significant improvements in patients, including reduced skin lesions within a few weeks.
  • The findings suggest that PRP could be redefined as an autoinflammatory keratinization disorder, highlighting the need for further clinical trials to test the effectiveness of targeting IL-1β in treatment.
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After antigen stimulation, naïve T cells display reproducible population-level responses, which arise from individual T cells pursuing specific differentiation trajectories. However, cell-intrinsic predeterminants controlling these single-cell decisions remain enigmatic. We found that the subcellular architectures of naïve CD8 T cells, defined by the presence (T) or absence (T) of nuclear envelope invaginations, changed with maturation, activation, and differentiation.

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Neural-tumor interactions drive glioma growth as evidenced in preclinical models, but clinical validation is limited. We present an epigenetically defined neural signature of glioblastoma that independently predicts patients' survival. We use reference signatures of neural cells to deconvolve tumor DNA and classify samples into low- or high-neural tumors.

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Myelofibrosis is a hematopoietic stem cell disorder belonging to the myeloproliferative neoplasms. Myelofibrosis patients frequently carry driver mutations in either JAK2 or Calreticulin (CALR) and have limited therapeutic options. Here, we integrate ex vivo drug response and proteotype analyses across myelofibrosis patient cohorts to discover targetable vulnerabilities and associated therapeutic strategies.

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Neural-tumor interactions drive glioma growth as evidenced in preclinical models, but clinical validation is nascent. We present an epigenetically defined neural signature of glioblastoma that independently affects patients' survival. We use reference signatures of neural cells to deconvolve tumor DNA and classify samples into low- or high-neural tumors.

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Glioblastoma (GBM) is the most aggressive form of primary brain tumor, for which effective therapies are urgently needed. Cancer cells are capable of evading clearance by phagocytes such as microglia- and monocyte-derived cells through engaging tolerogenic programs. Here, we found that high expression of sialic acid-binding immunoglobulin-like lectin 9 (Siglec-9) correlates with reduced survival in patients with GBM.

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Multiple myeloma (MM) is a plasma cell malignancy defined by complex genetics and extensive patient heterogeneity. Despite a growing arsenal of approved therapies, MM remains incurable and in need of guidelines to identify effective personalized treatments. Here, we survey the ex vivo drug and immunotherapy sensitivities across 101 bone marrow samples from 70 patients with MM using multiplexed immunofluorescence, automated microscopy and deep-learning-based single-cell phenotyping.

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Unlabelled: Clinical management of melanomas with NRAS mutations is challenging. Targeting MAPK signaling is only beneficial to a small subset of patients due to resistance that arises through genetic, transcriptional, and metabolic adaptation. Identification of targetable vulnerabilities in NRAS-mutated melanoma could help improve patient treatment.

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Phenotypic plasticity is essential to the immune system, yet the factors that shape it are not fully understood. Here, we comprehensively analyze immune cell phenotypes including morphology across human cohorts by single-round multiplexed immunofluorescence, automated microscopy, and deep learning. Using the uncertainty of convolutional neural networks to cluster the phenotypes of eight distinct immune cell subsets, we find that the resulting maps are influenced by donor age, gender, and blood pressure, revealing distinct polarization and activation-associated phenotypes across immune cell classes.

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Cancer cells reprogram their metabolism to support growth and invasion. While previous work has highlighted how single altered reactions and pathways can drive tumorigenesis, it remains unclear how individual changes propagate at the network level and eventually determine global metabolic activity. To characterize the metabolic lifestyle of cancer cells across pathways and genotypes, we profiled the intracellular metabolome of 180 pan-cancer cell lines grown in identical conditions.

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Article Synopsis
  • Researchers discovered that using deep learning to analyze cell shapes (DML) in biopsies can enhance drug testing for patients with blood cancers, identifying more effective treatments.* -
  • In studies involving 390 biopsies, DML improved the reliability of drug response results and helped group similar drugs together, showing better performance than traditional methods.* -
  • Patients who received DML-recommended treatments experienced longer progression-free survival, suggesting that this method could lead to more personalized and successful cancer therapies.*
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Purpose: Most chimeric antigen receptor (CAR) T-cell strategies against glioblastoma have demonstrated only modest therapeutic activity and are based on persistent gene modification strategies that have limited transgene capacity, long manufacturing processes, and the risk for uncontrollable off-tumor toxicities. mRNA-based T-cell modifications are an emerging safe, rapid, and cost-effective alternative to overcome these challenges, but are underexplored against glioblastoma.

Experimental Design: We generated mouse and human mRNA-based multifunctional T cells coexpressing a multitargeting CAR based on the natural killer group 2D (NKG2D) receptor and the proinflammatory cytokines IL12 and IFNα2 and assessed their antiglioma activity in vitro and in vivo.

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The human immune system is composed of a distributed network of cells circulating throughout the body, which must dynamically form physical associations and communicate using interactions between their cell-surface proteomes. Despite their therapeutic potential, our map of these surface interactions remains incomplete. Here, using a high-throughput surface receptor screening method, we systematically mapped the direct protein interactions across a recombinant library that encompasses most of the surface proteins that are detectable on human leukocytes.

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The molecular nanoscale organization of the surfaceome is a fundamental regulator of cellular signaling in health and disease. Technologies for mapping the spatial relationships of cell surface receptors and their extracellular signaling synapses would unlock theranostic opportunities to target protein communities and the possibility to engineer extracellular signaling. Here, we develop an optoproteomic technology termed LUX-MS that enables the targeted elucidation of acute protein interactions on and in between living cells using light-controlled singlet oxygen generators (SOG).

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  • Personalized medicine seeks to match specific cancer treatments to individual patients based on their tumor characteristics, but current methods only assist less than 10% of patients.
  • A new approach, called single-cell functional precision medicine (scFPM), was tested on 143 patients with aggressive hematologic cancers, where 39% received treatments guided by scFPM results.
  • Results showed that 54% of patients treated according to scFPM experienced improved progression-free survival, with some achieving exceptional responses lasting three times longer than typical, indicating the method's clinical feasibility and effectiveness.
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  • Computational tools are increasingly used to identify biological targets of natural products with anticancer effects, particularly the natural product piperlongumine (PL), which interacts with the hTRPV2 channel.
  • Cryo-electron microscopy revealed how PL binds to an allosteric pocket of the rat TRPV2 channel, showcasing a novel anticancer mechanism against glioblastoma (GBM), where the hTRPV2 channel is overexpressed.
  • Research demonstrated that downregulating hTRPV2 decreases sensitivity to PL, and treating GBM in mouse models with PL formulated in a scaffold significantly reduced tumor growth and improved survival, suggesting a new approach for cancer treatment.
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Obesity-induced white adipose tissue (WAT) hypertrophy is associated with elevated adipose tissue macrophage (ATM) content. Overexpression of the triggering receptor expressed on myeloid cells 2 (TREM2) reportedly increases adiposity, worsening health. Paradoxically, using insulin resistance, elevated fat mass, and hypercholesterolemia as hallmarks of unhealthy obesity, a recent report demonstrated that ATM-expressed TREM2 promoted health.

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The application and integration of molecular profiling technologies create novel opportunities for personalized medicine. Here, we introduce the Tumor Profiler Study, an observational trial combining a prospective diagnostic approach to assess the relevance of in-depth tumor profiling to support clinical decision-making with an exploratory approach to improve the biological understanding of the disease.

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