Measuring the metabolic evolution of glioblastoma throughout tumor development, regression, and recurrence with hyperpolarized magnetic resonance

Travis C. Salzillo, Vimbai Mawoneke, Joseph Weygand, Akaanksh Shetty, Joy Gumin, Niki M. Zacharias, Seth T. Gammon, David Piwnica-Worms, Gregory N. Fuller, Christopher J. Logothetis, Frederick F. Lang, Pratip K. Bhattacharya

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Rapid diagnosis and therapeutic monitoring of aggressive diseases such as glioblastoma can improve patient survival by providing physicians the time to optimally deliver treatment. This research tested whether metabolic imaging with hyperpolarized MRI could detect changes in tumor progression faster than conventional anatomic MRI in patient-derived glioblastoma murine models. To capture the dynamic nature of cancer metabolism, hyperpolarized MRI, NMR spectroscopy, and immunohistochemistry were performed at several time-points during tumor development, regression, and recurrence. Hyperpolarized MRI detected significant changes of metabolism throughout tumor progression whereas conventional MRI was less sensitive. This was accompanied by aberrations in amino acid and phospholipid lipid metabolism and MCT1 expression. Hyperpolarized MRI can help address clinical challenges such as identifying malignant disease prior to aggressive growth, differentiating pseudoprogression from true progression, and predicting relapse. The individual evolution of these metabolic assays as well as their correlations with one another provides context for further academic research.

Original languageEnglish (US)
Article number2621
JournalCells
Volume10
Issue number10
DOIs
StatePublished - Oct 2021

Keywords

  • Glioblastoma
  • Hyperpolarization
  • Magnetic resonance imaging
  • Metabolism
  • Nuclear magnetic resonance
  • Radiation therapy
  • Tumor development
  • Tumor recurrence
  • Tumor regression

ASJC Scopus subject areas

  • General Medicine

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