scispace - formally typeset
Open AccessJournal ArticleDOI

Meningioma DNA methylation groups identify biological drivers and therapeutic vulnerabilities

TLDR
In this paper , DNA methylation profiling of 565 meningiomas highlights three groups associated with distinct molecular, clinical and therapeutic features: immune-enriched, hypermitotic and Merlin-intact meningus.
Abstract
Meningiomas are the most common primary intracranial tumors. There are no effective medical therapies for meningioma patients, and new treatments have been encumbered by limited understanding of meningioma biology. Here, we use DNA methylation profiling on 565 meningiomas integrated with genetic, transcriptomic, biochemical, proteomic and single-cell approaches to show meningiomas are composed of three DNA methylation groups with distinct clinical outcomes, biological drivers and therapeutic vulnerabilities. Merlin-intact meningiomas (34%) have the best outcomes and are distinguished by NF2/Merlin regulation of susceptibility to cytotoxic therapy. Immune-enriched meningiomas (38%) have intermediate outcomes and are distinguished by immune infiltration, HLA expression and lymphatic vessels. Hypermitotic meningiomas (28%) have the worst outcomes and are distinguished by convergent genetic and epigenetic mechanisms driving the cell cycle and resistance to cytotoxic therapy. To translate these findings into clinical practice, we show cytostatic cell cycle inhibitors attenuate meningioma growth in cell culture, organoids, xenografts and patients. DNA methylation profiling of 565 meningiomas highlights three groups associated with distinct molecular, clinical and therapeutic features.

read more

Citations
More filters
Journal ArticleDOI

Clinical implications of the 2021 edition of the WHO classification of central nervous system tumours

TL;DR: The main changes in the classification of diffuse and circumscribed gliomas, ependymomas, embryonal tumours and meningiomas are summarized and how each change will influence post-surgical treatment, clinical trial enrolment and cooperative studies are discussed.
Journal ArticleDOI

Hypermitotic meningiomas harbor DNA methylation subgroups with distinct biological and clinical features.

TL;DR: These data suggest meningioma DNA methylation groups may harbor subgroups unifying contrasting theories of mening ioma biology, which are previously reported alongside Merlin-intact and Immune-enriched tumors using an integrated molecular model.
Journal ArticleDOI

Clinical implementation of integrated molecular‐morphologic risk prediction for meningioma

TL;DR: In this paper , the integrated molecular morphologic meningioma integrated score (IntS) was proposed for risk prediction of brain tumor classifier and showed that any loss over 5% of the chromosomal arm suffices for the calling of a CNV, and that input from the v12.5 classifier is as good or better than the dedicated menioma classifier (v2.4) and that there is most likely no need for additional testing for TERT−promoter mutations and/or homozygous losses of CDKN2A/B when defining the IntS for an individual patient.
Journal ArticleDOI

CDK 4/6 inhibitors for the treatment of meningioma

TL;DR: In this paper , the authors describe the preclinical evidence for CDK4/6 inhibitors as a treatment for high-grade meningiomas and summarize evolving clinical experience with these agents.
References
More filters
Journal ArticleDOI

Trimmomatic: a flexible trimmer for Illumina sequence data

TL;DR: Timmomatic is developed as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data and is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested.
Journal ArticleDOI

featureCounts: an efficient general-purpose program for assigning sequence reads to genomic features

TL;DR: FeatureCounts as discussed by the authors is a read summarization program suitable for counting reads generated from either RNA or genomic DNA sequencing experiments, which implements highly efficient chromosome hashing and feature blocking techniques.
Journal ArticleDOI

The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

TL;DR: The 2016 World Health Organization Classification of Tumors of the Central Nervous System is both a conceptual and practical advance over its 2007 predecessor and is hoped that it will facilitate clinical, experimental and epidemiological studies that will lead to improvements in the lives of patients with brain tumors.
BookDOI

An introduction to statistical learning

TL;DR: An introduction to statistical learning provides an accessible overview of the essential toolset for making sense of the vast and complex data sets that have emerged in science, industry, and other sectors in the past twenty years.
Journal ArticleDOI

Comprehensive Integration of Single-Cell Data.

TL;DR: A strategy to "anchor" diverse datasets together, enabling us to integrate single-cell measurements not only across scRNA-seq technologies, but also across different modalities.
Related Papers (5)