Genomics

Dataset Information

0

27438d85-70ea-4bb3-b088-6d826fa1a415 - samples


ABSTRACT: We stratified 69 primary IDH-wt GBM patients into TMZ-resistant (n = 29) and sensitive (n = 40) groups, using TMZ screening of the corresponding patient-derived glioma stem-like cells (GSCs). Genomic and transcriptomic features were then examined to identify TMZ-associated molecular alterations. Subsequently, we developed a machine learning (ML) model to predict TMZ response from combined signatures. Moreover, TMZ response in multisector samples (52 tumor sectors from 18 cases) was evaluated to validate findings and investigate the impact of intra-tumoral heterogeneity on TMZ efficacy.

PROVIDER: EGAD00001010156 | EGA |

REPOSITORIES: EGA

Similar Datasets

| EGAS00001006989 | EGA
2024-11-26 | GSE282886 | GEO
2025-01-08 | GSE277539 | GEO
| EGAS00001007095 | EGA
2021-05-05 | GSE140441 | GEO
2022-04-15 | GSE193635 | GEO
2019-03-19 | GSE107850 | GEO
| PRJNA922456 | ENA
2023-03-11 | PXD027069 | Pride
2022-08-02 | PXD029393 | Pride