Using digital technology to improve our understanding of rhabdomyosarcoma
Deep learning: An integrated approach to define clinical significance to components of the tumour microenvironment of rhabdomyosarcomas
Understanding the genetics of poor outcome neuroblastoma to improve treatment
A genome wide study of unresectable, MYCN non-amplied, unfavourable histology neuroblastomas in patients older than 18 months of age
Can we identify an 'ultra-high-risk' type of neuroblastoma?
A pilot study of expression profiling using RNAseq from formalin fixed neuroblastoma and paired diagnostic and relapsed frozen neuroblastomas.
Investigating what causes cells to become out of control in anaplastic large cell lymphoma
Investigation of epigenetic mechanisms of tumour growth control in anaplastic large cell lymphoma
Understanding why some children with neuroblastoma have worse survival or respond badly to treatment
Targeting the Fanconi Anaemia pathyway in neuroblastoma
Discovering what causes Ewing's sarcoma to spread
Identifying molecular drivers of disease progression in Ewing’s sarcoma
Improving our understanding of brain tumours in teenagers and young adults
Teenagers and young adults with primary CNS cancers: a systematic biological characterisation
Investigating the makeup of malignant rhabdoid tumours
RNA‐sequencing to characterise malignant rhabdoid tumour heterogeneity: a pilot study in archival frozen material
Understanding drug resistance in neuroblastoma to develop personalised treatments
Overcoming drug resistance for efficacious neuroblastoma therapeutics