Robert Michael Prins

Predictable clonal hierarchies from restricted progenitors provide a framework for cell type-specific therapies in glioblastoma

The paper maps clonal hierarchies in glioblastoma using lineage-resolved single-cell data, revealing multiple non-redundant progenitors and identifying cell type-specific therapeutic targets.

A Human Tumor-Immune Organoid Model of Glioblastoma

Autologous co-culture of patient glioblastoma cells and matched peripheral blood mononuclear cells in human cortical organoids (iHOTT) preserves tumor-immune crosstalk and recapitulates patient T cell responses to pembrolizumab.

Multi-omic landscape of human gliomas from diagnosis to treatment and recurrence

This study analyzes multi-omic data from gliomas to identify therapeutic escape mechanisms and TME evolution, finding that N-glycosylation classifies tumor grade and immune transcriptome predicts GBM survival.

Systems analysis uncovers early temozolomide responses and peptide antigens in glioblastoma

This study uses a multi-omics approach to analyze early TMZ responses in GBM cells, identifying TMZ-associated peptide antigens and immune-related changes.

IRIS: Big data-informed discovery of cancer immunotherapy targets arising from pre-mRNA alternative splicing

IRIS identifies cancer immunotherapy targets from alternative splicing using transcriptomics data and validates them with patient T cells.