DNA methylation-based profiling for paediatric CNS tumour diagnosis and treatment: a population-based study
- PMID: 31786093
- DOI: 10.1016/S2352-4642(19)30342-6
DNA methylation-based profiling for paediatric CNS tumour diagnosis and treatment: a population-based study
Erratum in
-
Correction to Lancet Child Adolesc Health 2019; 4: 121-130.Lancet Child Adolesc Health. 2020 Feb;4(2):e5. doi: 10.1016/S2352-4642(19)30430-4. Epub 2019 Dec 24. Lancet Child Adolesc Health. 2020. PMID: 31879262 No abstract available.
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.
Funding: The Brain Tumour Charity, Children with Cancer UK, Great Ormond Street Hospital Children's Charity, Olivia Hodson Cancer Fund, Cancer Research UK, and the National Institute of Health Research.
Copyright © 2020 Elsevier Ltd. All rights reserved.
Comment in
-
Time to advance methylation profiling to the forefront of primary diagnostics for childhood brain tumours.Lancet Child Adolesc Health. 2020 Feb;4(2):93-95. doi: 10.1016/S2352-4642(19)30395-5. Epub 2019 Nov 27. Lancet Child Adolesc Health. 2020. PMID: 31786090 No abstract available.
Similar articles
-
DNA methylation profiling improves routine diagnosis of paediatric central nervous system tumours: A prospective population-based study.Neuropathol Appl Neurobiol. 2022 Oct;48(6):e12838. doi: 10.1111/nan.12838. Epub 2022 Aug 3. Neuropathol Appl Neurobiol. 2022. PMID: 35892159 Free PMC article.
-
Methylation-based algorithms for diagnosis: experience from neuro-oncology.J Pathol. 2020 Apr;250(5):510-517. doi: 10.1002/path.5397. Epub 2020 Mar 10. J Pathol. 2020. PMID: 32057098 Review.
-
The central nervous system tumor methylation classifier changes neuro-oncology practice for challenging brain tumor diagnoses and directly impacts patient care.Clin Epigenetics. 2019 Dec 5;11(1):185. doi: 10.1186/s13148-019-0766-2. Clin Epigenetics. 2019. PMID: 31806041 Free PMC article.
-
The potential for epigenetic analysis of paediatric CNS tumours to improve diagnosis, treatment and prognosis.Ann Oncol. 2015 Jul;26(7):1314-24. doi: 10.1093/annonc/mdv024. Epub 2015 Jan 20. Ann Oncol. 2015. PMID: 25605740 Review.
-
Novel molecular subgroups for clinical classification and outcome prediction in childhood medulloblastoma: a cohort study.Lancet Oncol. 2017 Jul;18(7):958-971. doi: 10.1016/S1470-2045(17)30243-7. Epub 2017 May 22. Lancet Oncol. 2017. PMID: 28545823 Free PMC article.
Cited by
-
The Implementation of DNA Methylation Profiling into a Multistep Diagnostic Process in Pediatric Neuropathology: A 2-Year Real-World Experience by the French Neuropathology Network.Cancers (Basel). 2021 Mar 18;13(6):1377. doi: 10.3390/cancers13061377. Cancers (Basel). 2021. PMID: 33803647 Free PMC article.
-
Sarcoma classification by DNA methylation profiling in clinical everyday life: the Charité experience.Clin Epigenetics. 2022 Nov 15;14(1):149. doi: 10.1186/s13148-022-01365-w. Clin Epigenetics. 2022. PMID: 36380356 Free PMC article.
-
Prediction of DNA methylation-based tumor types from histopathology in central nervous system tumors with deep learning.Nat Med. 2024 Jul;30(7):1952-1961. doi: 10.1038/s41591-024-02995-8. Epub 2024 May 17. Nat Med. 2024. PMID: 38760587
-
Refinement of prognostication for IDH-mutant astrocytomas using DNA methylation-based classification.Brain Pathol. 2024 Sep;34(5):e13233. doi: 10.1111/bpa.13233. Epub 2024 Jan 2. Brain Pathol. 2024. PMID: 38168467 Free PMC article.
-
World Cancer Day 2021 - Perspectives in Pediatric and Adult Neuro-Oncology.Front Oncol. 2021 May 10;11:659800. doi: 10.3389/fonc.2021.659800. eCollection 2021. Front Oncol. 2021. PMID: 34041027 Free PMC article.
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources