Radiogenomic profiling of global DNA methylation associated with molecular phenotypes and immune features in glioma.

ABSTRACT:

Background

The radiogenomic analysis has provided valuable imaging biomarkers with biological insights for gliomas. The radiogenomic markers for molecular profile such as DNA methylation remain to be uncovered to assist the molecular diagnosis and tumor treatment.

Methods

We apply the machine learning approaches to identify the magnetic resonance imaging (MRI) features that are associated with molecular profiles in 146 patients with gliomas, and the fitting models for each molecular feature (MoRad) are developed and validated. To provide radiological annotations for the molecular profiles, we devise two novel approaches called radiomic oncology (RO) and radiomic set enrichment analysis (RSEA).

Results

The generated MoRad models perform well for profiling each molecula

SUBMITTER: Zhuang Z 

PROVIDER: S-EPMC11367996 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature