期刊
BRAIN
卷 146, 期 3, 页码 1200-1211出版社
OXFORD UNIV PRESS
DOI: 10.1093/brain/awac378
关键词
glioma; gene expression; transcriptomic; connectomic
This study investigates the spatial patterns of brain tumour occurrence and identifies the functional connectivity and transcriptomic correlates of vulnerability to low-grade glioma and glioblastoma multiforme. By combining open-access data from various sources and analyzing MRI and mRNA transcription data, the researchers reveal the associations between grade-related frequency, expression, and brain network features. These findings shed light on the mechanisms underlying brain tumour occurrence and provide insights into potential therapeutic targets.
Brain tumours occur in a specific spatial pattern across the brain, which depends in part on the tumour grade. Romero-Garcia et al. examine the basis of this differential occurrence, and identify functional connectivity and transcriptomic correlates of vulnerability to low-grade glioma and glioblastoma multiforme. Unravelling the complex events driving grade-specific spatial distribution of brain tumour occurrence requires rich datasets from both healthy individuals and patients. Here, we combined open-access data from The Cancer Genome Atlas, the UK Biobank and the Allen Brain Human Atlas to disentangle how the different spatial occurrences of glioblastoma multiforme and low-grade gliomas are linked to brain network features and the normative transcriptional profiles of brain regions. From MRI of brain tumour patients, we first constructed a grade-related frequency map of the regional occurrence of low-grade gliomas and the more aggressive glioblastoma multiforme. Using associated mRNA transcription data, we derived a set of differential gene expressions from glioblastoma multiforme and low-grade gliomas tissues of the same patients. By combining the resulting values with normative gene expressions from post-mortem brain tissue, we constructed a grade-related expression map indicating which brain regions express genes dysregulated in aggressive gliomas. Additionally, we derived an expression map of genes previously associated with tumour subtypes in a genome-wide association study (tumour-related genes). There were significant associations between grade-related frequency, grade-related expression and tumour-related expression maps, as well as functional brain network features (specifically, nodal strength and participation coefficient) that are implicated in neurological and psychiatric disorders. These findings identify brain network dynamics and transcriptomic signatures as key factors in regional vulnerability for glioblastoma multiforme and low-grade glioma occurrence, placing primary brain tumours within a well-established framework of neurological and psychiatric cortical alterations.
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