DNA methylation-based profiling for paediatric CNS tumour diagnosis and treatment: a population-based study. (February 2020)
- Record Type:
- Journal Article
- Title:
- DNA methylation-based profiling for paediatric CNS tumour diagnosis and treatment: a population-based study. (February 2020)
- Main Title:
- DNA methylation-based profiling for paediatric CNS tumour diagnosis and treatment: a population-based study
- Authors:
- Pickles, Jessica C
Fairchild, Amy R
Stone, Thomas J
Brownlee, Lorelle
Merve, Ashirwad
Yasin, Shireena A
Avery, Aimee
Ahmed, Saira W
Ogunbiyi, Olumide
Gonzalez Zapata, Jamie
Peary, Abigail F
Edwards, Marie
Wilkhu, Lisa
Dryden, Carryl
Ladon, Dariusz
Kristiansen, Mark
Rowe, Catherine
Kurian, Kathreena M
Nicoll, James A R
Mitchell, Clare
Bloom, Tabitha
Hilton, David A
Al-Sarraj, Safa
Doey, Lawrence
Johns, Paul N
Bridges, Leslie R
Chakrabarty, Aruna
Ismail, Azzam
Rathi, Nitika
Syed, Khaja
Lammie, G Alistair
Limback-Stanic, Clara
Smith, Colin
Torgersen, Antonia
Rae, Frances
Hill, Rebecca M
Clifford, Steven C
Grabovska, Yura
Williamson, Daniel
Clarke, Matthew
Jones, Chris
Capper, David
Sill, Martin
von Deimling, Andreas
Pfister, Stefan M
Jones, David T W
Hargrave, Darren
Chalker, Jane
Jacques, Thomas S
… (more) - Abstract:
- Summary: 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 molecularSummary: 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. … (more)
- Is Part Of:
- Lancet. Volume 4:Number 2(2020)
- Journal:
- Lancet
- Issue:
- Volume 4:Number 2(2020)
- Issue Display:
- Volume 4, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 4
- Issue:
- 2
- Issue Sort Value:
- 2020-0004-0002-0000
- Page Start:
- 121
- Page End:
- 130
- Publication Date:
- 2020-02
- Subjects:
- Pediatrics -- Periodicals
Children -- Health and hygiene -- Periodicals
Adolescent medicine -- Periodicals
Teenagers -- Health and hygiene -- Periodicals
618.920005 - Journal URLs:
- http://www.sciencedirect.com/ ↗
https://www.sciencedirect.com/journal/the-lancet-child-and-adolescent-health/issues ↗ - DOI:
- 10.1016/S2352-4642(19)30342-6 ↗
- Languages:
- English
- ISSNs:
- 2352-4642
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5146.075000
British Library DSC - BLDSS-3PM
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- 12624.xml