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Updated: May 27, 2026

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
Published on: September 18, 2020
Epigenetic subclassification of meningiomas based on genome-wide DNA methylation analyses
Yugo Kishida1, Atsushi Natsume, Yutaka Kondo
1Department of Neurosurgery, Nagoya University School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, Aichi 466-8550, Japan.
Abstract:
Meningiomas are among the most common intracranial tumors and are mostly curable by surgical resection. However, some populations of meningiomas with benign histological profiles show malignant behavior. The reasons for this inconsistency are yet to be ascertained, and novel diagnostic criteria other than the histological one are urgently needed. The aim of the present study is to subclassify meningiomas from the viewpoint of gene methylation and to determine the subgroup with malignant characteristics. Thirty meningiomas were analyzed using microarrays for 6157 genes and were classified into three clusters on the basis of their methylation status; these were found to be independent of the histological grading. One of the clusters showed a high frequency of recurrence, with a marked accumulation of methylation in a subset of genes. We hypothesized that the aggressive meningiomas universally share characteristic methylation in certain genes; therefore, we chose the genes that strongly contributed to cluster formation. The quantified methylation values of five chosen genes (HOXA6, HOXA9, PENK, UPK3A and IGF2BP1) agreed well with microarray findings, and a scoring system consisting of the five genes significantly correlated with a high frequency of recurrence in an additional validation set of 32 patients. Of particular note is that three cases with malignant transformation already showed hypermethylation at histologically benign stage. In conclusion, a subgroup of meningiomas is characterized by aberrant hypermethylation of the subset of genes in the early stage of tumorigenesis, and our findings highlight the possibility of speculating potential malignancy of meningiomas by assessing methylation status.
Insights
Gene methylation patterns can identify aggressive meningiomas, a common brain tumor. This study found specific gene hypermethylation in early-stage tumors, predicting recurrence and potential malignancy beyond histology.
Area of Science:
- Neuro-oncology
- Epigenetics
- Molecular diagnostics
Background:
- Meningiomas are common intracranial tumors, often curable by surgery.
- Some histologically benign meningiomas exhibit malignant behavior, necessitating new diagnostic criteria.
- Current histological grading may not fully predict meningioma behavior.
Purpose of the Study:
- To subclassify meningiomas based on gene methylation profiles.
- To identify meningioma subgroups with malignant characteristics.
- To discover novel biomarkers for predicting meningioma recurrence and malignancy.
Main Methods:
- Analysis of gene methylation status in 30 meningioma samples using microarrays for 6157 genes.
- Classification of tumors into three clusters based on methylation, independent of histological grade.
- Validation of methylation patterns for five key genes (HOXA6, HOXA9, PENK, UPK3A, IGF2BP1) in an additional patient cohort.
Main Results:
- Three distinct methylation-based clusters were identified, unrelated to histological grading.
- One cluster showed a high recurrence rate associated with significant gene methylation.
- A scoring system based on five genes accurately predicted high recurrence rates in a validation set.
- Hypermethylation was observed in histologically benign tumors that later showed malignant transformation.
Conclusions:
- A subset of meningiomas exhibits aberrant gene hypermethylation early in tumorigenesis.
- Methylation status of specific genes can identify aggressive meningiomas.
- Assessing gene methylation offers a potential method for predicting meningioma malignancy beyond histology.
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