Title |
The ten-year evolutionary trajectory of a highly recurrent paediatric high grade neuroepithelial tumour with MN1:BEND2 fusion
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Published in |
Scientific Reports, January 2018
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DOI | 10.1038/s41598-018-19389-9 |
Pubmed ID | |
Authors |
Anna Burford, Alan Mackay, Sergey Popov, Maria Vinci, Diana Carvalho, Matthew Clarke, Elisa Izquierdo, Aimee Avery, Thomas S. Jacques, Wendy J. Ingram, Andrew S. Moore, Kieran Frawley, Timothy E. Hassall, Thomas Robertson, Chris Jones |
Abstract |
Astroblastomas are rare brain tumours which predominate in children and young adults, and have a controversial claim as a distinct entity, with no established WHO grade. Reports suggest a better outcome than high grade gliomas, though they frequently recur. Recently, they have been described to overlap with a newly-discovered group of tumours described as'high grade neuroepithelial tumour with MN1 alteration' (CNS HGNET-MN1), defined by global methylation patterns and strongly associated with gene fusions targeting MN1. We have studied a unique case of astroblastoma arising in a 6 year-old girl, with multiple recurrences over a period of 10 years, with the pathognomonic MN1:BEND2 fusion. Exome sequencing allowed for a phylogenetic reconstruction of tumour evolution, which when integrated with clinical, pathological and radiological data provide for a detailed understanding of disease progression, with initial treatment driving tumour dissemination along four distinct trajectories. Infiltration of distant sites was associated with a later genome doubling, whilst there was evidence of convergent evolution of different lesions acquiring distinct alterations targeting NF-κB. These data represent an unusual opportunity to understand the evolutionary history of a highly recurrent childhood brain tumour, and provide novel therapeutic targets for astroblastoma/CNS HGNET-MN1. |
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Geographical breakdown
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 6 | 23% |
Student > Master | 4 | 15% |
Researcher | 4 | 15% |
Student > Doctoral Student | 2 | 8% |
Unspecified | 2 | 8% |
Other | 5 | 19% |
Unknown | 3 | 12% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 8 | 31% |
Biochemistry, Genetics and Molecular Biology | 3 | 12% |
Agricultural and Biological Sciences | 2 | 8% |
Unspecified | 2 | 8% |
Neuroscience | 2 | 8% |
Other | 4 | 15% |
Unknown | 5 | 19% |