All Outputs (3)

Epen-23. A computational analysis of the tumour immune microenvironment in paediatric ependymoma (2020)
Journal Article
Ritzmann, T., Lourdusamy, A., Jackson, A., Storer, L., Donson, A., Griesinger, A., …Grundy, R. (2020). Epen-23. A computational analysis of the tumour immune microenvironment in paediatric ependymoma. Neuro-Oncology, 22(Supplement 3), iii312. https://doi.org/10.1093/neuonc/noaa222.160

Ependymoma is the third commonest childhood brain tumour. Relapse is frequent, often fatal and current therapeutic strategies are inadequate. Previous ependymoma research describes an immunosuppressive environment with T-cell exhaustion, indicating a... Read More about Epen-23. A computational analysis of the tumour immune microenvironment in paediatric ependymoma.

3D hydrogels reveal medulloblastoma subgroup differences and identify extracellular matrix subtypes that predict patient outcome (2020)
Journal Article
Linke, F., Aldighieri, M., Lourdusamy, A., Grabowska, A. M., Stolnik, S., Kerr, I. D., …Coyle, B. (2021). 3D hydrogels reveal medulloblastoma subgroup differences and identify extracellular matrix subtypes that predict patient outcome. Journal of Pathology, 253(3), 326-338. https://doi.org/10.1002/path.5591

© 2020 The Authors. The Journal of Pathology published by John Wiley & Sons, Ltd. on behalf of The Pathological Society of Great Britain and Ireland. Medulloblastoma (MB) is the most common malignant brain tumour in children and is subdivided into... Read More about 3D hydrogels reveal medulloblastoma subgroup differences and identify extracellular matrix subtypes that predict patient outcome.

Metabolism based isolation of invasive glioblastoma cells with specific gene signatures and tumorigenic potential (2020)
Journal Article
Smith, S. J., Rowlinson, J., Estevez-Cebrero, M., Onion, D., Ritchie, A., Clarke, P., …Rahman, R. (2020). Metabolism based isolation of invasive glioblastoma cells with specific gene signatures and tumorigenic potential. Neuro-Oncology Advances, 2(1), Article vdaa087. https://doi.org/10.1093/noajnl/vdaa087

Background Glioblastoma (GBM) is a highly aggressive brain tumor with rapid subclonal diversification, harboring molecular abnormalities that vary temporo-spatially, a contributor to therapy resistance. Fluorescence guided neurosurgical resection ut... Read More about Metabolism based isolation of invasive glioblastoma cells with specific gene signatures and tumorigenic potential.