All Outputs (3)

Multi-omic approach identifies hypoxic tumor-associated myeloid cells that drive immunobiology of high-risk pediatric ependymoma. (2023)
Journal Article
Griesinger, A. M., Riemondy, K., Eswaran, N., Donson, A. M., Willard, N., Prince, E. W., …Ritzmann, T. A. (2023). Multi-omic approach identifies hypoxic tumor-associated myeloid cells that drive immunobiology of high-risk pediatric ependymoma. iScience, 26(9), Article 107585. https://doi.org/10.1016/j.isci.2023.107585

Ependymoma (EPN) is a devastating childhood brain tumor. Single-cell analyses have illustrated the cellular heterogeneity of EPN tumors, identifying multiple neoplastic cell states including a mesenchymal-differentiated subpopulation which characteri... Read More about Multi-omic approach identifies hypoxic tumor-associated myeloid cells that drive immunobiology of high-risk pediatric ependymoma..

Pediatric-type high-grade neuroepithelial tumors with CIC gene fusion share a common DNA methylation signature (2023)
Journal Article
Sievers, P., Sill, M., Schrimpf, D., Abdullaev, Z., Donson, A. M., Lake, J. A., …Jones, D. T. W. (in press). Pediatric-type high-grade neuroepithelial tumors with CIC gene fusion share a common DNA methylation signature. npj Precision Oncology, 7, Article 30. https://doi.org/10.1038/s41698-023-00372-1

Pediatric neoplasms in the central nervous system (CNS) show extensive clinical and molecular heterogeneity and are fundamentally different from those occurring in adults. Molecular genetic testing contributes to accurate diagnosis and enables an opt... Read More about Pediatric-type high-grade neuroepithelial tumors with CIC gene fusion share a common DNA methylation signature.

Optimising biomarkers for accurate ependymoma diagnosis, prognostication and stratification within International Clinical Trials: A BIOMECA study (2023)
Journal Article
Chapman, R. J., Ghasemi, D. R., Andreiuolo, F., Zschernack, V., Tauziede Espariat, A., Buttarelli, F. R., …Biomarkers of Ependymoma in Childhood and Adolescence (BIOMECA) Consortium. (2023). Optimising biomarkers for accurate ependymoma diagnosis, prognostication and stratification within International Clinical Trials: A BIOMECA study. Neuro-Oncology, 25(10), 1871–1882. https://doi.org/10.1093/neuonc/noad055

Background Accurate identification of brain tumour molecular subgroups is increasingly important. We aimed to establish the most accurate and reproducible ependymoma subgroup biomarker detection techniques, across 147 cases from International Society... Read More about Optimising biomarkers for accurate ependymoma diagnosis, prognostication and stratification within International Clinical Trials: A BIOMECA study.