Mariëtte E.G. Kranendonk

This paper presents an integrative multimodal atlas of pediatric-type diffuse high-grade gliomas, identifying cancer-myeloid cell programs and distinct cancer cell states across multiple patients.

This paper develops a human brainstem organoid model of H3.3K27M-altered DMG to study GD2 CAR T cell function and identify therapeutic targets.

The paper uses single-cell spatial analysis to identify SPP1+/GPNMB+ myeloid cells in pediatric high-grade gliomas that suppress CD8+ T cells and promote tumor growth.

This paper develops a deep learning model for intraoperative pediatric CNS tumor classification using rapid sequencing, achieving accurate results within 60-90 minutes.

This study validates whole genome sequencing as a reliable single assay for detecting various cancer mutations with high sensitivity and precision.

The paper identifies ROS1 fusions in various glioma types through genomic and transcriptomic analysis, showing they are not restricted to specific subtypes.