Felix Sahm

This study identifies AHCY as a key driver of epigenetic and metabolic reprogramming in ZFTA-RELA ependymomas, revealing its role in promoting tumor growth through pyrimidine synthesis and asparagine dependency.

The paper shows that irradiation reprograms tumor endothelium to enhance T cell infiltration and effector function in gliomas, improving immunotherapy outcomes.

This study identifies local translation as a driver of glioblastoma tumor microtubes and invasion by linking subcellular protein synthesis to invasive cell states.

ProteoPy provides a framework for integrated proteomics analysis using AnnData, enabling proteoform group inference and differential analysis with integration into multi-omics workflows.

BRIDGE correlates MRI with cellular data to predict brain disease states using deep learning and high-resolution microscopy.

This study identifies panobinostat as an effective treatment for aggressive meningiomas through drug screening on tumor organoids and reveals a resistance mechanism involving the HDAC8-TGFβ-EMT axis.

This study uses spatial transcriptomics to identify transcriptional programs in gangliogliomas that link ECM remodeling, immune infiltration, and persistent neuronal precursor-like states to tumor biology.

The paper identifies PTEN loss as a driver of aggressive NF2 mutant meningiomas and validates a cross-species model for preclinical testing.

The paper constructs a transcriptomic landscape for medulloblastoma and ependymoma, revealing subtype-specific biology through clustering and molecular signatures.

This study identifies high M2-TAM infiltration as an independent poor survival prognostic factor in meningiomas, overriding the beneficial effect of TILs.

This study identifies FGFR alterations in pediatric gliomas, their association with specific histologies, and their response to targeted therapies.

The paper introduces CHOCOLAT-G2P, a method integrating functional genomics and spatial transcriptomics to study genotype-phenotype relationships in tumors, revealing zonation patterns and epistasis in liver cancer.

This study uses retrograde tracing to characterize neuron-tumor networks in glioblastoma and shows that targeting these networks can enhance therapeutic outcomes.

This study combines bulk RNA-Seq datasets to create a transcriptomic landscape of meningiomas, identifies subtypes with distinct biology and prognosis, and provides an interactive tool for outcome prediction.

The paper shows that aggressive high-grade NF2 mutant meningiomas have reduced YAP1 activity due to increased VGLL4 and FAT3/4 expression, linked to higher recurrence risk.

This study integrates phospho-proteogenomic and single-cell transcriptomic data to subtype meningiomas and identify subtype-specific immune infiltration patterns.

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

The paper identifies a chromosomal duplication of chromosome 1q in a subset of polymicrogyria patients, associated with specific clinical features and distinct DNA methylation patterns.