Pickles, JC;
Stone, TJ;
Jacques, TS;
(2020)
Methylation-based algorithms for diagnosis: experience from neuro-oncology.
The Journal of Pathology
, 250
(5)
pp. 510-517.
10.1002/path.5397.
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Abstract
Brain tumours are the most common tumour‐related cause of death in young people. Survivors are at risk of significant disability, at least in part related to the effects of treatment. Therefore, there is a need for a precise diagnosis that stratifies patients for the most suitable treatment, matched to the underlying biology of their tumour. Although traditional histopathology has been accurate in predicting treatment responses in many cases, molecular profiling has revealed a remarkable, previously unappreciated, level of biological complexity in the classification of these tumours. Among different molecular technologies, DNA methylation profiling has had the most pronounced impact on brain tumour classification. Furthermore, using machine learning‐based algorithms, DNA methylation profiling is changing diagnostic practice. This can be regarded as an exemplar for how molecular pathology can influence diagnostic practice and illustrates some of the unanticipated benefits and risks. © 2020 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
| Type: | Article |
|---|---|
| Title: | Methylation-based algorithms for diagnosis: experience from neuro-oncology |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/path.5397 |
| Publisher version: | https://doi.org/10.1002/path.5397 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | CNS tumour,s medulloblastoma, neuroblastoma, ependymoma, astrocytoma, glioblastoma, Ewing's tumou,r classification, pathology, DNA methylation profiling |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Developmental Biology and Cancer Dept |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10092064 |
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