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Dataset Information

The radiogenomic and spatiogenomic landscapes of glioblastoma and their relationship to oncogenic drivers.


ABSTRACT:

Background

Glioblastoma is a highly heterogeneous brain tumor, posing challenges for precision therapies and patient stratification in clinical trials. Understanding how genetic mutations influence tumor imaging may improve patient management and treatment outcomes. This study investigates the relationship between imaging features, spatial patterns of tumor location, and genetic alterations in IDH-wildtype glioblastoma, as well as the likely sequence of mutational events.

Methods

We conducted a retrospective analysis of 357 IDH-wildtype glioblastomas with pre-operative multiparametric MRI and targeted genetic sequencing data. Radiogenomic signatures and spatial distribution maps were generated for key mutations in genes such as EGFR, PTEN, TP53, and NF1 and their correspondi

SUBMITTER: Fathi Kazerooni A 

PROVIDER: S-EPMC11873127 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature