Multiple approaches converge on three biological subtypes of meningioma and extract new insights from published studies

One-fifth of meningiomas classified as benign by World Health Organization (WHO) histopathological grading will behave malignantly. To better diagnose these tumors, several groups turned to DNA methylation, whereas we combined RNA-sequencing (RNA-seq) and cytogenetics. Both approaches were more accu...

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Bibliographic Details
Published in:Science advances 2022-02, Vol.8 (5), p.eabm6247
Main Authors: Bayley, 5th, James C, Hadley, Caroline C, Harmanci, Arif O, Harmanci, Akdes S, Klisch, Tiemo J, Patel, Akash J
Format: Article
Language:English
Subjects:
DNA Methylation
Humans
Meningeal Neoplasms - diagnosis
Meningeal Neoplasms - genetics
Meningeal Neoplasms - pathology
Meningioma - diagnosis
Meningioma - genetics
Meningioma - pathology
Plant Extracts
Prognosis
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Summary:One-fifth of meningiomas classified as benign by World Health Organization (WHO) histopathological grading will behave malignantly. To better diagnose these tumors, several groups turned to DNA methylation, whereas we combined RNA-sequencing (RNA-seq) and cytogenetics. Both approaches were more accurate than histopathology in identifying aggressive tumors, but whether they revealed similar tumor types was unclear. We therefore performed unbiased DNA methylation, RNA-seq, and cytogenetic profiling on 110 primary meningiomas WHO grade I and II). Each technique distinguished the same three groups (two benign and one malignant) as our previous molecular classification; integrating these methods into one classifier further improved accuracy. Computational modeling revealed strong correlations between transcription and cytogenetic changes, particularly loss of chromosome 1p, in malignant tumors. Applying our classifier to data from previous studies also resolved certain anomalies entailed by grouping tumors by WHO grade. Accurate classification will therefore elucidate meningioma biology as well as improve diagnosis and prognosis.
ISSN:2375-2548
2375-2548
DOI:10.1126/sciadv.abm6247