Volker Hovestadt

The paper develops a hierarchical classification framework combining epigenetic and genetic data with machine learning to improve diagnosis and risk stratification in hematologic malignancies.

This study examines hTERT expression and its prognostic impact in pediatric medulloblastoma, finding higher expression correlates with worse survival outcomes.

This study identifies MECOM's role in blocking differentiation via CEBPA repression, showing that targeting this regulatory element can promote differentiation and reduce leukemia burden in AMLs.

The paper benchmarks DNA methylation sequencing workflows against an experimental gold-standard, identifying superior workflows and developing a sustainable benchmarking platform.

The paper identifies USP48 as a regulator of chromatin stability and DNA damage response to hypomethylating agents, showing its loss increases susceptibility to these drugs in AML.

This study shows that FLT3 inhibition promotes neuronal maturation and reduces seizures in a mouse model by upregulating KCC2 and reducing neuroinflammation.

This study identifies cell-state plasticity as a driver of heterogeneity in Group 3/4 medulloblastomas, showing that transcription factor perturbation can redirect tumor cells along different differentiation trajectories.

The paper identifies an epigenetic neural signature in glioblastoma that correlates with poor prognosis and therapeutic vulnerability.

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