Factors which affect survival following relapse in neuroblastomas
Clinical and biological factors associated with relapse and length of survival following relapse in UK neuroblastomas
A novel laboratory model for neuroblastoma research
Establishment of an in vitro model of neuroblastoma initiation using pluripotent stem cell differentiation
Stopping ‘cut-and-run’ DNA errors to help treat leukaemia and predict relapse
Towards inhibiting cut-and-run: An aberrant V(D)J recombination reaction that leads to lymphoid cancers
Improving our understanding of immunotherapy in high-risk neuroblastoma
Understanding and improving the mechanism of action of anti-GD2 monoclonal antibody therapy in neuroblastoma
Understanding the biology of relapsed ependymoma brain tumours to help improve treatments
Deciphering the New Molecular Landscape in Paediatric Recurrent Ependymoma: Implications for Molecular Targeted Therapy
Understanding how some leukaemia cells survive treatment and cause a relapse
Understanding and therapeutically exploiting clonal evolution in chemo-resistant acute lymphoblastic leukaemia
Next generation molecular profiling of malignant rhabdoid tumours
Identifying which are the cellular molecules that drive growth and spread of rhabdoid tumours, and to use this information to nominate new treatment strategies and develop real-time diagnostic tests for personalising treatment
Improving the outlook for children with Philadelphia positive ALL
Unravelling clinical heterogeneity in Philadelphia positive ALL
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