Faculty, Staff and Student Publications
Language
English
Publication Date
9-28-2023
Journal
Nature Communications
DOI
10.1038/s41467-023-41559-1
PMID
37770427
PMCID
PMC10539500
PubMedCentral® Posted Date
9-28-2023
PubMedCentral® Full Text Version
Post-print
Abstract
Sampling restrictions have hindered the comprehensive study of invasive non-enhancing (NE) high-grade glioma (HGG) cell populations driving tumor progression. Here, we present an integrated multi-omic analysis of spatially matched molecular and multi-parametric magnetic resonance imaging (MRI) profiling across 313 multi-regional tumor biopsies, including 111 from the NE, across 68 HGG patients. Whole exome and RNA sequencing uncover unique genomic alterations to unresectable invasive NE tumor, including subclonal events, which inform genomic models predictive of geographic evolution. Infiltrative NE tumor is alternatively enriched with tumor cells exhibiting neuronal or glycolytic/plurimetabolic cellular states, two principal transcriptomic pathway-based glioma subtypes, which respectively demonstrate abundant private mutations or enrichment in immune cell signatures. These NE phenotypes are non-invasively identified through normalized K2 imaging signatures, which discern cell size heterogeneity on dynamic susceptibility contrast (DSC)-MRI. NE tumor populations predicted to display increased cellular proliferation by mean diffusivity (MD) MRI metrics are uniquely associated with EGFR amplification and CDKN2A homozygous deletion. The biophysical mapping of infiltrative HGG potentially enables the clinical recognition of tumor subpopulations with aggressive molecular signatures driving tumor progression, thereby informing precision medicine targeting.
Keywords
Humans, Brain Neoplasms, Multiparametric Magnetic Resonance Imaging, Homozygote, Sequence Deletion, Glioma, Magnetic Resonance Imaging, Biological Products, Cancer genomics, Cancer imaging
Published Open-Access
yes
Recommended Citation
Hu, Leland S; D'Angelo, Fulvio; Weiskittel, Taylor M; et al., "Integrated Molecular and Multiparametric MRI Mapping of High-Grade Glioma Identifies Regional Biologic Signatures" (2023). Faculty, Staff and Student Publications. 6449.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/6449
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