DNA methylation profiling improves routine diagnosis of paediatric central nervous system tumours: A prospective population‐based study. (3rd August 2022)

• Record Type: Journal Article
• Authors: Schepke, Elizabeth; Löfgren, Maja; Pietsch, Torsten; Olsson Bontell, Thomas; Kling, Teresia; Wenger, Anna; Ferreyra Vega, Sandra; Danielsson, Anna; Dosa, Sandor; Holm, Stefan; Öberg, Anders; Nyman, Per; Eliasson‐Hofvander, Marie; Sandström, Per‐Erik; Pfister, Stefan M.; Lannering, Birgitta; Sabel, Magnus; Carén, Helena
• Is Part Of: Neuropathology & applied neurobiology. Volume 48:Number 6(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-08-03
• Subjects: diagnostics -- DNA methylation profiling -- molecular classification -- paediatric brain tumours; Nervous system -- Diseases -- Pathology -- Periodicals; Nervous system -- Diseases -- Periodicals; 616.8
• DOI: 10.1111/nan.12838
• Languages: English
• ISSNs: 0305-1846

Abstract

Abstract: Aims: Paediatric brain tumours are rare, and establishing a precise diagnosis can be challenging. Analysis of DNA methylation profiles has been shown to be a reliable method to classify central nervous system (CNS) tumours with high accuracy. We aimed to prospectively analyse CNS tumours diagnosed in Sweden, to assess the clinical impact of adding DNA methylation‐based classification to standard paediatric brain tumour diagnostics in an unselected cohort. Methods: All CNS tumours diagnosed in children (0–18 years) during 2017–2020 were eligible for inclusion provided sufficient tumour material was available. Tumours were analysed using genome‐wide DNA methylation profiling and classified by the MNP brain tumour classifier. The initial histopathological diagnosis was compared with the DNA methylation‐based classification. For incongruent results, a blinded re‐evaluation was performed by an experienced neuropathologist. Results: Two hundred forty tumours with a histopathology‐based diagnosis were profiled. A high‐confidence methylation score of 0.84 or more was reached in 78% of the cases. In 69%, the histopathological diagnosis was confirmed, and for some of these also refined, 6% were incongruent, and the re‐evaluation favoured the methylation‐based classification. In the remaining 3% of cases, the methylation class was non‐contributory. The change in diagnosis would have had a direct impact on the clinical management in 5% of all patients. Conclusions: Integrating DNA methylation‐based tumour classification into routine clinical analysis improves diagnostics and provides molecular information that is important for treatment decisions. The results from methylation profiling should be interpreted in the context of clinical and histopathological information. Abstract : In this population‐based study, a successful diagnostic molecular classification using DNA methylation was achieved in 78% of the cohort. Six per cent of the initial diagnoses were on re‐evaluation changed by an experienced neuropathologist favouring the methylation‐based diagnosis. The change in diagnosis would have influenced the management of the patients in 5% of the cohort.