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ImmunoPET imaging of TIGIT in the glioma microenvironment

  • Sarah R. Vincze
  • , Ambika P. Jaswal
  • , Stephen C. Frederico
  • , Michal Nisnboym
  • , Bo Li
  • , Zujian Xiong
  • , Reid Ann E. Sever
  • , Chaim T. Sneiderman
  • , Mikayla Rodgers
  • , Kathryn E. Day
  • , Joseph D. Latoche
  • , Lesley M. Foley
  • , T. Kevin Hitchens
  • , Robin Frederick
  • , Ravi B. Patel
  • , Costas G. Hadjipanayis
  • , Itay Raphael
  • , Jessie R. Nedrow*
  • , W. Barry Edwards*
  • , Gary Kohanbash*
  • *Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

Glioblastoma (GBM) is the most common primary malignant brain tumor. Currently, there are few effective treatment options for GBM beyond surgery and chemo-radiation, and even with these interventions, median patient survival remains poor. While immune checkpoint inhibitors (ICIs) have demonstrated therapeutic efficacy against non-central nervous system cancers, ICI trials for GBM have typically had poor outcomes. TIGIT is an immune checkpoint receptor that is expressed on activated T-cells and has a role in the suppression of T-cell and Natural Killer (NK) cell function. As TIGIT expression is reported as both prognostic and a biomarker for anti-TIGIT therapy, we constructed a molecular imaging agent, [89Zr]Zr-DFO-anti-TIGIT (89Zr-αTIGIT), to visualize TIGIT in preclinical GBM by immunoPET imaging. PET imaging and biodistribution analysis of 89Zr-αTIGIT demonstrated uptake in the tumor microenvironment of GBM-bearing mice. Blocking antibody and irrelevant antibody tracer studies demonstrated specificity of 89Zr-αTIGIT with significance at a late time point post-tracer injection. However, the magnitude of 89Zr-αTIGIT uptake in tumor, relative to the IgG tracer was minimal. These findings highlight the features and limitations of using 89Zr-αTIGIT to visualize TIGIT in the GBM microenvironment.

Original languageEnglish
Article number5305
JournalScientific Reports
Volume14
Issue number1
DOIs
StatePublished - Dec 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Brain tumor
  • Glioma
  • Immunosuppression
  • Immunotherapy
  • TIGIT

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