Patient-Specific Screening Using High-Grade Glioma Explants to Determine Potential Radiosensitization by a TGF-β Small Molecule Inhibitor. Academic Article uri icon

Overview

abstract

  • High-grade glioma (HGG), a deadly primary brain malignancy, manifests radioresistance mediated by cell-intrinsic and microenvironmental mechanisms. High levels of the cytokine transforming growth factor-β (TGF-β) in HGG promote radioresistance by enforcing an effective DNA damage response and supporting glioma stem cell self-renewal. Our analysis of HGG TCGA data and immunohistochemical staining of phosphorylated Smad2, which is the main transducer of canonical TGF-β signaling, indicated variable levels of TGF-β pathway activation across HGG tumors. These data suggest that evaluating the putative benefit of inhibiting TGF-β during radiotherapy requires personalized screening. Thus, we used explant cultures of seven HGG specimens as a rapid, patient-specific ex vivo platform to test the hypothesis that LY364947, a small molecule inhibitor of the TGF-β type I receptor, acts as a radiosensitizer in HGG. Immunofluorescence detection and image analysis of γ-H2AX foci, a marker of cellular recognition of radiation-induced DNA damage, and Sox2, a stem cell marker that increases post-radiation, indicated that LY364947 blocked these radiation responses in five of seven specimens. Collectively, our findings suggest that TGF-β signaling increases radioresistance in most, but not all, HGGs. We propose that short-term culture of HGG explants provides a flexible and rapid platform for screening context-dependent efficacy of radiosensitizing agents in patient-specific fashion. This time- and cost-effective approach could be used to personalize treatment plans in HGG patients.

publication date

  • December 1, 2016

Research

keywords

  • Antineoplastic Agents
  • Glioma
  • Radiation Tolerance
  • Radiation-Sensitizing Agents
  • Transforming Growth Factor beta

Identity

PubMed Central ID

  • PMC5156509

Scopus Document Identifier

  • 85011024372

Digital Object Identifier (DOI)

  • 10.1016/j.neo.2016.08.008

PubMed ID

  • 27978994

Additional Document Info

volume

  • 18

issue

  • 12