Related Experiment Video
Updated: Dec 17, 2025
09:40
Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
Published on: October 4, 2019
5.9K
Radiogenomics correlation between MR imaging features and mRNA-based subtypes in lower-grade glioma
1Department of Medical Imaging, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Road, Guangzhou City, 510623, PR China.
BMC Neurology
|July 1, 2020
Summary
This study reveals that specific MRI features can identify distinct molecular subtypes of lower-grade glioma (LGG). The R2 subtype, characterized by certain imaging markers, is associated with the worst patient prognosis.
Area of Science:
- Neuro-oncology
- Radiology
- Molecular Biology
Background:
- Lower-grade gliomas (LGG) exhibit distinct molecular subtypes (R1-R4) based on mRNA expression.
- Understanding the relationship between these molecular subtypes and imaging characteristics is crucial for diagnosis and prognosis.
Purpose of the Study:
- To investigate the associations between LGG mRNA-based subtypes (R1-R4) and specific Magnetic Resonance (MR) imaging features.
- To determine if MR imaging can be used to identify distinct molecular subtypes of LGG.
Main Methods:
- Utilized The Cancer Genome Atlas (TCGA) LGG dataset for mRNA-based subtyping.
- Identified 145 matching patients with MR imaging data from The Cancer Imaging Archive (TCIA).
- Assessed associations between mRNA-based subtypes and MR imaging features using multivariate analysis and cross-validation.
Main Results:
- The R2 subtype showed the shortest overall survival (OS) and was associated with contrast-enhanced (CE) tumor proportion and necrosis/cystic changes.
- Specific MR features like enhancing margin and T1+C/T2 mismatch were linked to the R1 subtype.
- Hemorrhage was positively associated with the R3 subtype, while a lower proportion of CE tumor was linked to the R4 subtype.
- A predictive model for the R2 subtype demonstrated good discrimination and clinical utility.
Conclusions:
- Patients with the R2 molecular subtype of LGG have the poorest prognosis.
- MR imaging features can effectively differentiate between distinct molecular subtypes of LGG, aiding in clinical decision-making.
