DNA methylation microarray analysis of adult gliomas: A pilot study at Groote Schuur Hospital

SA Journal of Oncology

Field Value
Title DNA methylation microarray analysis of adult gliomas: A pilot study at Groote Schuur Hospital
Creator Price, Brendon
Subject — methylation microarray; glioma; glioblastoma; IDH; MGMT
Description Background: Accurate glioma diagnosis requires a combination of histology, radiology and identification of key genetic mutations. Currently, multiple tests are required to identify these mutations. Deoxyribonucleic acid (DNA) methylation microarray coupled with digital classification algorithms can subclassify gliomas and identify multiple mutations in a single experiment, thereby potentially replacing current modalities and reduce turnaround times.Aim: This study aims to compare results obtained by DNA methylation microarray on select adult glioma cases previously classified and graded on the basis of morphology and currently available ancillary tests.Setting: Cape Town, South Africa.Methods: Eight cases comprising astrocytic and oligodendroglial tumours (WHO grades 2–4) were analysed using the Illumina Infinium MethylationEPIC 850k microarray platform. Tumour classification and O6-methylguanine DNA-methyltransferase (MGMT) promoter methylation status were determined via online classification algorithms. Key genetic and chromosomal changes were identified by copy number variation plots.Results: Seven of the eight cases were successfully assigned a methylation class and showed concordance with previously determined histological tumour type, isocitrate dehydrogenase and 1p/19q co-deletion status. Of these, tumour grading remained unchanged in five cases, upgraded in one case and downgraded in the other. The remaining case could not be classified. The MGMT promoter methylation status and diagnostically relevant copy number variants were also identified.Conclusion: Tumour classification and grading can be accurately determined by methylation microarray analysis in adult gliomas.Contribution: Methylation microarray provides greater molecular information than current methods, thereby potentially improving diagnostic accuracy and patient prognostication.
Publisher AOSIS
Contributor University of Cape Town
Date 2024-03-13
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — —
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/sajo.v8i0.269
Source South African Journal of Oncology; Vol 8 (2024); 10 pages 2523-0646 2518-8704
Language eng
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https://sajo.org.za/index.php/sajo/article/view/269/818 https://sajo.org.za/index.php/sajo/article/view/269/819 https://sajo.org.za/index.php/sajo/article/view/269/820 https://sajo.org.za/index.php/sajo/article/view/269/821
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Rights Copyright (c) 2024 Brendon Price https://creativecommons.org/licenses/by/4.0