All Outputs (2)

EPEN-21. Developing a sensitive method for detection of minimal residual disease in ependymoma using metabolomic analysis of cerebrospinal fluid (2022)
Journal Article
Woodward, A., Amugi, L., Patel, K., Kilpatrick, C., Kim, D., & Dandapani, M. (2022). EPEN-21. Developing a sensitive method for detection of minimal residual disease in ependymoma using metabolomic analysis of cerebrospinal fluid. Neuro-Oncology, 24(Supplement 1), i43-i43. https://doi.org/10.1093/neuonc/noac079.719

Ependymoma (EPN) is the second most common malignant paediatric brain tumour with poor survival and significant neuro-cognitive impairment from current treatments (surgery and radiotherapy). Relapse occurs in 50% of patients within 2 years, despite n... Read More about EPEN-21. Developing a sensitive method for detection of minimal residual disease in ependymoma using metabolomic analysis of cerebrospinal fluid.

Integrated Metabolomics and Transcriptomics Using an Optimised Dual Extraction Process to Study Human Brain Cancer Cells and Tissues (2021)
Journal Article
Rahman, R., Woodward, A., Pandele, A., Abdelrazig, S., Ortori, C., Khan, I., …Kim, D. (2021). Integrated Metabolomics and Transcriptomics Using an Optimised Dual Extraction Process to Study Human Brain Cancer Cells and Tissues. Metabolites, 11(4), Article 240. https://doi.org/10.3390/metabo11040240

The integration of untargeted metabolomics and transcriptomics from the same population of cells or tissue enhances the confidence in the identified metabolic pathways and understanding of the enzyme–metabolite relationship. Here, we optimised a simu... Read More about Integrated Metabolomics and Transcriptomics Using an Optimised Dual Extraction Process to Study Human Brain Cancer Cells and Tissues.