Predicting brain tumor recurrence: development and validation of a DNA-methylation based nomogram in meningioma
EGAS00001003490, EGAD00010001687Nassiri et al., 2019
Overview
- Modality
- DNA methylation (array)
- Sample count
- 280
- Patient count
- 280
- Institution
- Princess Margaret Cancer Centre, University Health Network, Toronto (International Consortium on Meningiomas, multi-institutional)
- Corresponding author
- Kenneth D. Aldape / Gelareh Zadeh
- Platform
- Illumina (array type unspecified in live metadata)
- Access type
- controlled
- Tissue preservation
- Not reported
- WHO edition
- Not reported
Cohort detail
- Grade breakdown
- Not reported
- Sex distribution
- Not reported
- Age distribution
- Not reported
- Anatomic location
- Not reported
- Brain invasion
- Not reported
- Normal/control tissue
- None
Priority attributes
Large cohort (top quartile)Outcome/survival dataPeer-reviewed
Publications
- Nassiri F, et al. DNA methylation profiling to predict recurrence risk in meningioma: development and validation of a nomogram to optimize clinical management. Neuro-Oncology, 2019. PMID 31158293 · DOI
Sources
- EGA study pagehttps://ega-archive.org/studies/EGAS00001003490
- EGA dataset pagehttps://ega-archive.org/datasets/EGAD00010001687
- PubMedhttps://pubmed.ncbi.nlm.nih.gov/31158293/
- DOIhttps://doi.org/10.1093/neuonc/noz061