R. Verhaak

GBMdeconvoluteR accurately infers proportions of neoplastic and immune cell populations from bulk glioblastoma transcriptomics data

This paper develops GBMdeconvoluteR, a tool to accurately infer neoplastic and immune cell proportions in bulk glioblastoma RNAseq data, validated against imaging mass cytometry.

Subclonal evolution and expansion of THY1-positive cells is associated with recurrence in glioblastoma

This paper identifies THY1-positive, mesenchymal/stem-like cells as drivers of glioblastoma recurrence and shows that targeting TGFβ signaling can restore sensitivity to therapy.

Single-cell multimodal glioma analyses reveal epigenetic regulators of cellular plasticity and environmental stress response

The paper integrates multi-omic data from gliomas to show that epigenetic instability and transcriptional disruption are linked to tumor aggressiveness and environmental stress response.

Methylthioadenosine is Not Dramatically Elevated in MTAP-Homozygous Deleted Primary Glioblastomas

This paper shows that MTA levels are not significantly elevated in MTAP-homozygous deleted primary human glioblastomas, challenging the clinical relevance of targeting PRMT5 and MAT2A in these tumors.

Glioma Through the Looking GLASS: the Glioma Longitudinal Analysis consortium, molecular evolution of diffuse gliomas

This paper reviews molecular evolution in diffuse gliomas over time and introduces the Glioma Longitudinal Analysis Consortium to systematically study longitudinal changes in gliomas.

Reconstructing the Molecular Life History of Gliomas

This paper proposes a model of gliomagenesis with five phases, linking somatic genomic alterations to tumor development and suggesting therapeutic strategies.

TumorFusions: an integrative resource for reporting cancer-associated transcript fusions in 33 tumor types

The paper reports cancer-associated transcript fusions in 33 tumor types using TCGA data and provides a resource for accessing the results.

Discordant inheritance of chromosomal and extrachromosomal DNA elements contributes to dynamic disease evolution in glioblastoma

This study shows that extrachromosomal DNA elements and chromosomal alterations in glioblastoma have distinct inheritance patterns and contribute to genomic heterogeneity during tumor evolution.