Molecular imaging using an anti-human tissue factor monoclonal antibody in an orthotopic glioma xenograft model

Hiroki Takashima1,2, Atsushi B Tsuji3, Tsuneo Saga3

  • 1Division of Developmental Therapeutics, Exploratory Oncology Research & Clinical Trial Center, National Cancer Center, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.

Scientific Reports
|September 28, 2017
PubMed

Insights

A new antibody targeting tissue factor (TF) shows promise for glioma imaging. This antibody accurately reflects tumor malignancy and aids in biopsy guidance, potentially improving glioma diagnosis and treatment strategies.

Area of Science:

  • Oncology
  • Immunology
  • Medical Imaging

Background:

  • Nuclear medicine imaging is used for glioma grading and biopsy guidance but has limitations.
  • Tissue factor (TF) is overexpressed in gliomas and correlates with malignancy.
  • Existing imaging modalities do not fully capture glioma's biological characteristics.

Purpose of the Study:

  • To develop and evaluate an anti-TF monoclonal antibody (mAb) clone 1849 for glioma imaging.
  • To assess the correlation between TF expression and glioma grade.
  • To explore the potential of TF-targeted immuno-SPECT for glioma diagnosis.

Main Methods:

  • Immunohistochemistry using anti-TF 1849 mAb on glioma specimens.
  • Fluorescence and SPECT/CT imaging studies in mice with intracranial tumors.
  • In vitro and in vivo characterization of anti-TF 1849 IgG accumulation.

Main Results:

  • TF expression in gliomas increased with World Health Organization (WHO) malignancy grade.
  • TF was highly expressed in necrosis and pseudopalisading cells, characteristic of glioblastoma multiforme (GBM).
  • Anti-TF 1849 IgG demonstrated efficient accumulation in TF-overexpressing intracranial tumors in vivo.

Conclusions:

  • Anti-TF 1849 mAb is a potential biomarker for glioma malignancy grading.
  • Immuno-SPECT with 111In-labelled anti-TF 1849 IgG may offer a novel imaging approach for gliomas.
  • This modality could improve biopsy site selection and assessment of glioma biological features, especially for GBM.

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