Radiogenomic Mapping in Glioblastoma Multiforme
Author Information
Author(s): Zinn Pascal O., Majadan Bhanu, Sathyan Pratheesh, Singh Sanjay K., Majumder Sadhan, Jolesz Ferenc A., Colen Rivka R.
Primary Institution: M.D. Anderson Cancer Center, University of Texas
Hypothesis
Can MRI phenotypes correlate with gene expression profiles in Glioblastoma Multiforme?
Conclusion
The study proposes a novel diagnostic method linking MRI findings with molecular characteristics of glioblastoma, which could improve treatment strategies.
Supporting Evidence
- The top upregulated gene was POSTN, which correlated with decreased survival.
- High POSTN and low miR-219 expression were linked to the mesenchymal GBM subtype.
- Kaplan Meier analysis showed significant associations between gene expression and patient outcomes.
Takeaway
Doctors can use MRI scans to see how aggressive a brain tumor is and what genes might be involved, helping them choose better treatments.
Methodology
The study analyzed gene and microRNA expression profiles alongside MRI data from 52 glioblastoma patients, using statistical methods to identify correlations.
Potential Biases
Potential biases may arise from the retrospective nature of the data and the lack of image-sample registration.
Limitations
The study's reliance on existing TCGA data limits the ability to match gene expression profiles to specific MRI locations.
Participant Demographics
52 treatment-naïve GBM patients, 8 female and 18 male in the discovery set; 9 female and 17 male in the validation set.
Statistical Information
P-Value
p<0.0001
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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