Methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre.
Zane JaunmuktaneDavid CapperDavid T W JonesDaniel SchrimpfMartin SillMonika DuttNirosha SuraweeraStefan M PfisterAndreas von DeimlingSebastian BrandnerPublished in: Acta neuropathologica communications (2019)
The introduction of the classification of brain tumours based on their DNA methylation profile has significantly changed the diagnostic approach for cases with ambiguous histology, non-informative or contradictory molecular profiles or for entities where methylation profiling provides useful information for patient risk stratification, for example in medulloblastoma and ependymoma. We present our experience that combines a conventional molecular diagnostic approach with the complementary use of a DNA methylation-based classification tool, for adult brain tumours originating from local as well as national referrals. We report the frequency of IDH mutations in a large cohort of nearly 1550 patients, EGFR amplifications in almost 1900 IDH-wildtype glioblastomas, and histone mutations in 70 adult gliomas. We demonstrate how additional methylation-based classification has changed and improved our diagnostic approach. Of the 325 cases referred for methylome testing, 179 (56%) had a calibrated score of 0.84 and higher and were included in the evaluation. In these 179 samples, the diagnosis was changed in 45 (25%), refined in 86 (48%) and confirmed in 44 cases (25%). In addition, the methylation arrays contain copy number information that usefully complements the methylation profile. For example, EGFR amplification which is 95% concordant with our Real-Time PCR-based copy number assays. We propose here a diagnostic algorithm that integrates histology, conventional molecular tests and methylation arrays.
Keyphrases
- dna methylation
- copy number
- genome wide
- mitochondrial dna
- machine learning
- gene expression
- deep learning
- small cell lung cancer
- white matter
- resting state
- epidermal growth factor receptor
- end stage renal disease
- healthcare
- tyrosine kinase
- real time pcr
- high resolution
- high throughput
- single cell
- metabolic syndrome
- single molecule
- peritoneal dialysis
- cerebral ischemia
- type diabetes
- low grade
- skeletal muscle
- adipose tissue
- young adults
- weight loss
- nucleic acid
- blood brain barrier