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.
Subject(s)
Biological Products , Brain Neoplasms , Glioma , Multiparametric Magnetic Resonance Imaging , Humans , Brain Neoplasms/diagnostic imaging , Brain Neoplasms/genetics , Brain Neoplasms/pathology , Homozygote , Sequence Deletion , Glioma/diagnostic imaging , Glioma/genetics , Glioma/pathology , Magnetic Resonance Imaging/methodsABSTRACT
Under conventional conditions, mice deficient in core 1-derived O-glycans (TM-IEC C1galt1(-/-)), which have a defective mucus layer, experienced spontaneous inflammation of the colon. Analysis of fecal bacterial populations by pyrosequencing of 16S rRNA gene showed that disease in conventional TM-IEC C1galt1(-/-) was associated with shifts in the microbiota manifested by increases in Lactobacillus and Clostridium species, and decreases in unclassified Ruminococcaceae and Lachnospiraceae. Under germ-free (GF) conditions, TM-IEC C1galt1(-/-) presented decreased goblet cells, but did not develop inflammation. Monoassociation of GF TM-IEC C1galt1(-/-) revealed that bacterial species differ significantly in their ability to induce inflammatory changes. Bacteroides thetaiotaomicron caused inflammation, while Lactobacillus johnsonii (enriched during colitis) did not. These observations demonstrate that not all microbiota shifts that correlate with disease contribute to pathogenesis.
