Transcriptomic and connectomic correlates of differential spatial patterning among gliomas

Area of Science:

• Neuroscience
• Genomics
• Oncology

Background:

• Brain tumor occurrence and spatial distribution are complex.
• Understanding regional vulnerability requires integrating diverse datasets.

Purpose of the Study:

• To investigate the link between brain tumor occurrence (glioblastoma multiforme and low-grade gliomas) and brain network features and gene expression profiles.
• To identify regional vulnerabilities in the brain for primary brain tumor development.

Main Methods:

• Combined data from The Cancer Genome Atlas, UK Biobank, and Allen Brain Human Atlas.
• Constructed grade-related frequency maps from patient MRI data.
• Analyzed mRNA transcription data to create grade-related and tumor-related gene expression maps.
• Correlated expression and frequency maps with functional brain network features (nodal strength, participation coefficient).

Main Results:

• Significant associations were found between tumor occurrence frequency, gene expression patterns, and brain network features.
• Specific brain regions show dysregulated gene expression linked to aggressive gliomas.
• Brain network dynamics and transcriptomic signatures are key factors in regional tumor vulnerability.

Conclusions:

• Brain network dynamics and transcriptomic signatures are critical determinants of regional vulnerability for glioblastoma multiforme and low-grade glioma occurrence.
• Primary brain tumors can be understood within the context of neurological and psychiatric cortical alterations.