» Articles » PMID: 34348785

Metabolic and Transcriptomic Profiles of Glioblastoma Invasion Revealed by Comparisons Between Patients and Corresponding Orthotopic Xenografts in Mice

Overview
Publisher Biomed Central
Specialty Neurology
Date 2021 Aug 5
PMID 34348785
Citations 2
Authors
Affiliations
Soon will be listed here.
Abstract

The invasive behavior of glioblastoma, the most aggressive primary brain tumor, is considered highly relevant for tumor recurrence. However, the invasion zone is difficult to visualize by Magnetic Resonance Imaging (MRI) and is protected by the blood brain barrier, posing a particular challenge for treatment. We report biological features of invasive growth accompanying tumor progression and invasion based on associated metabolic and transcriptomic changes observed in patient derived orthotopic xenografts (PDOX) in the mouse and the corresponding patients' tumors. The evolution of metabolic changes, followed in vivo longitudinally by H Magnetic Resonance Spectroscopy (H MRS) at ultra-high field, reflected growth and the invasive properties of the human glioblastoma transplanted into the brains of mice (PDOX). Comparison of MRS derived metabolite signatures, reflecting temporal changes of tumor development and invasion in PDOX, revealed high similarity to spatial metabolite signatures of combined multi-voxel MRS analyses sampled across different areas of the patients' tumors. Pathway analyses of the transcriptome associated with the metabolite profiles of the PDOX, identified molecular signatures of invasion, comprising extracellular matrix degradation and reorganization, growth factor binding, and vascular remodeling. Specific analysis of expression signatures from the invaded mouse brain, revealed extent of invasion dependent induction of immune response, recapitulating respective signatures observed in glioblastoma. Integrating metabolic profiles and gene expression of highly invasive PDOX provided insights into progression and invasion associated mechanisms of extracellular matrix remodeling that is essential for cell-cell communication and regulation of cellular processes. Structural changes and biochemical properties of the extracellular matrix are of importance for the biological behavior of tumors and may be druggable. Ultra-high field MRS reveals to be suitable for in vivo monitoring of progression in the non-enhancing infiltration zone of glioblastoma.

Citing Articles

The STEMRI trial: Magnetic resonance spectroscopy imaging can define tumor areas enriched in glioblastoma stem-like cells.

Lemarie A, Lubrano V, Delmas C, Lusque A, Cerapio J, Perrier M Sci Adv. 2023; 9(44):eadi0114.

PMID: 37922359 PMC: 10624352. DOI: 10.1126/sciadv.adi0114.


A pilot study: Metabolic profiling of plasma and saliva samples from newly diagnosed glioblastoma patients.

Bark J, Karpe A, Doecke J, Leo P, Jeffree R, Chua B Cancer Med. 2023; 12(10):11427-11437.

PMID: 37031458 PMC: 10242862. DOI: 10.1002/cam4.5857.

References
1.
Allen G, Peterson C, Vannucci M, Maletic-Savatic M . Regularized Partial Least Squares with an Application to NMR Spectroscopy. Stat Anal Data Min. 2014; 6(4):302-314. PMC: 3914316. DOI: 10.1002/sam.11169. View

2.
Verhaak R, Hoadley K, Purdom E, Wang V, Qi Y, Wilkerson M . Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1. Cancer Cell. 2010; 17(1):98-110. PMC: 2818769. DOI: 10.1016/j.ccr.2009.12.020. View

3.
Provencher S . Automatic quantitation of localized in vivo 1H spectra with LCModel. NMR Biomed. 2001; 14(4):260-4. DOI: 10.1002/nbm.698. View

4.
Quail D, Joyce J . The Microenvironmental Landscape of Brain Tumors. Cancer Cell. 2017; 31(3):326-341. PMC: 5424263. DOI: 10.1016/j.ccell.2017.02.009. View

5.
Robinson M, Oshlack A . A scaling normalization method for differential expression analysis of RNA-seq data. Genome Biol. 2010; 11(3):R25. PMC: 2864565. DOI: 10.1186/gb-2010-11-3-r25. View