MR Imaging Characteristics Associate with Tumor-Associated Macrophages in Glioblastoma and Provide an Improved

J Zhou1,2, M V Reddy3, B K J Wilson3

  • 1From the Departments of Radiology (J.Z., M.V.R., B.K.J.W.) jean.zhou@southerndhb.govt.nz.

Abstract

Insights

Routine MR imaging features can predict glioblastoma subtypes associated with tumor-associated macrophages. These imaging features, along with molecular subtypes and O6-methylguanine methyltransferase status, help estimate patient survival.

Area of Science:

  • Neuro-oncology
  • Radiology
  • Molecular Pathology

Background:

  • Glioblastoma (GBM) is an aggressive brain tumor.
  • Tumor-associated macrophages (TAMs) in GBM promote tumor growth.
  • Predicting GBM subtypes with distinct TAM content is crucial.

Purpose of the Study:

  • To determine if routine MR imaging features can predict molecular subtypes of glioblastoma.
  • To correlate these subtypes with tumor-associated macrophage content.

Main Methods:

  • Assessed 7 internal and 25 Visually AcceSAble Rembrandt Images (VISCAR) MR imaging features in 180 and 164 patients, respectively.
  • Classified glioblastomas into subtypes based on telomere maintenance mechanism (alternative lengthening of telomeres positive [ALT+] or negative [ALT-]) and TAM content (high [M+] or low [M-]).
  • Correlated 3 frequent subtypes (ALT+/M-, ALT-/M+, ALT-/M-) with MR imaging and clinical parameters.

Main Results:

  • ALT+/M- tumors showed regular margins, lacked fungating margins, had an expansive T1/FLAIR ratio, and reduced ependymal extension.
  • ALT-/M+ tumors exhibited radiologic necrosis, lacked cystic components, and had extensive peritumoral edema.
  • Multivariate analysis revealed cystic change and O6-methylguanine methyltransferase (MGMT) status predict improved survival.

Conclusions:

  • Routine MR imaging features correlate with glioblastoma subtypes characterized by varying TAM content.
  • These imaging features suggest more aggressive tumor behavior in TAM-rich glioblastomas.
  • Integrating cystic change, molecular subtypes, and MGMT status improves survival prediction in glioblastoma.

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