RADIOGENOMIC DATASETS IN GLIOBLASTOMA: AN ESSENTIAL HURDLE

Abstract AIMS To evaluate current available datasets for radiogenomic analysis in glioblastoma METHOD A scoping review was performed the literature from 2000-2023. List of (open access, controlled, paid) were tabulated. Qualitative performed. RESULTS Multiple and data portals available. Clinical on all portals. MRI Radiomics The Cancer Imaging Archive(TCIA). Genomics England (DNA sequencing reads variants), Genome atlas(TCGA) portal, Chinese cancer genome atlas (CCGA) portal Georgetown Database (G-DOC) (sequencing reads, Tran- scriptome profiling, simple nucleotide variation, copy number DNA methylation). Raw controlled with permission-only access whereas rest download registration. Datasets UK Biobank a fee. CONCLUSIONS Non-uniformity is huge hurdle pre-processing analysis. Collaborative user friendly interface are likely to provide uniformity resolve biases as part these datasets.