MR susceptibility imaging for detection of tumor-associated macrophages in glioblastoma

Amir Nazem1,2, Samantha C Guiry1,3, Mehrdad Pourfathi1,4,5

  • 1Department of Radiology, Hospital of University of Pennsylvania, Perelman School of Medicine of the University of Pennsylvania, 1 Silverstein Building, 3400 Spruce St., Philadelphia, PA, 19104, USA.

Journal of Neuro-Oncology
|January 19, 2022
PubMed
Abstract

Insights

Magnetic Resonance Imaging (MRI) can quantify iron in glioblastoma (GBM) tumors, serving as a biomarker for tumor-associated macrophages (TAMs). This non-invasive technique shows promise for TAM phenotyping in GBM patients.

Area of Science:

  • Neuroimaging
  • Oncology
  • Immunology

Background:

  • Tumor-associated macrophages (TAMs) are crucial in the glioblastoma (GBM) microenvironment.
  • TAMs exhibit distinct phenotypes (M1/M2) with differential iron metabolism, impacting tumor progression.
  • Iron accumulation within TAMs presents a potential imaging biomarker target.

Purpose of the Study:

  • To investigate Magnetic Resonance Imaging (MRI) quantitative susceptibility mapping (QSM) for non-invasively quantifying iron.
  • To assess QSM as an imaging biomarker for TAMs and their phenotypes in GBM patients.
  • To correlate MRI-derived iron measurements with TAM markers and iron content.

Main Methods:

  • 21 adult GBM patients underwent 3D gradient echo MRI for quantitative susceptibility mapping.
  • Ex vivo imaging of surgical specimens (n=3) using 9.4 Tesla MRI with multi-echo GRE scans to generate R2* maps.
  • Immunohistochemical staining of specimens for CD68, CD86, CD206, and L-ferritin.

Main Results:

  • Significant positive correlation between mean susceptibility and L-ferritin positivity (r=0.72, p=0.001).
  • Mean susceptibility correlated with CD68 (p=0.034) and CD86 (p=0.001) positive cells, but not CD206.
  • Mean R2* values positively correlated with CD68 (p=0.016) and CD86 (p=0.03) positive cell counts.

Conclusions:

  • MR quantitative susceptibility mapping shows potential for non-invasive in vivo TAM quantification and phenotyping in GBM.
  • Findings suggest QSM can differentiate TAM phenotypes based on iron content.
  • Further validation in large multicenter studies is warranted.

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