Author/Editor     Pickles, Jessica C.; Fairchild, Amy R; Stone, Thomas J; Brownlee, Lorelle; Lancella, Laura; Yasin, Shireena A; Avery, Aimee; Ahmed, Saira W; Ogunbiyi, Olumide; Gonzalez Zapata, Jamie; Limbaeck Stanic, Clara
Title     DNA methylation-based profiling for paediatric CNS tumour diagnosis and treatment
Type     članek
Vol. and No.     Letnik 4, št. 2
Publication year     2020
Volume     str. 121-130
ISSN     2352-4642
Language     eng
Abstract     Background Marked variation exists in the use of genomic data in tumour diagnosis, and optimal integration with conventional diagnostic technology remains uncertain despite several studies reporting improved diagnostic accuracy, selection for targeted treatments, and stratification for trials. Our aim was to assess the added value of molecular profiling in routine clinical practice and the impact on conventional and experimental treatments. Methods This population-based study assessed the diagnostic and clinical use of DNA methylation-based profiling in childhood CNS tumours using two large national cohorts in the UK. In the diagnostic cohort%which included routinely diagnosed CNS tumours between Sept 1, 2016, and Sept 1, 2018%we assessed how the methylation profile altered or refined diagnosis in routine clinical practice and estimated how this would affect standard patient management. For the archival cohort of diagnostically difficult cases, we established how many cases could be solved using modern standard pathology, how many could only be solved using the methylation profile, and how many remained unsolvable. Findings Of 484 patients younger than 20 years with CNS tumours, 306 had DNA methylation arrays requested by the neuropathologist and were included in the diagnostic cohort. Molecular profiling added a unique contribution to clinical diagnosis in 107 (35%; 95% CI 30%40) of 306 cases in routine diagnostic practice%providing additional molecular subtyping data in 99 cases, amended the final diagnosis in five cases, and making potentially significant predictions in three cases. We estimated that it could change conventional management in 11 (4%; 95% CI 2%6) of 306 patients. Among 195 historically difficult-to-diagnose tumours in the archival cohort, 99 (51%) could be diagnosed using standard methods, with the addition of methylation profiling solving a further 34 (17%) cases. The remaining 62 (32%) cases were unresolved despite specialist pathology and methylation profiling. Interpretation Together, these data provide estimates of the impact that could be expected from routine implementation of genomic profiling into clinical practice, and indicate limitations where additional techniques will be required. We conclude that DNA methylation arrays are a useful diagnostic adjunct for childhood CNS tumours.
Keywords     DNA methylation
tumors in childhood
diagnostics
metilacija DNA
tumorji v otroštvu
diagnostika