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Updated: Jun 5, 2026

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Radionuclide-fluorescence Reporter Gene Imaging to Track Tumor Progression in Rodent Tumor Models
Published on: March 13, 2018
IFN-γ PET imaging stratifies and predicts response to CD137 agonism in a syngeneic colorectal tumor model
Alexander John Deck1, Allen-Dexter Saliganan2, Savannah Lane2
1Cancer Biology, Wayne State University School of Medicine, Detroit, Michigan, USA.
Journal for Immunotherapy of Cancer
|June 3, 2026
Summary
Interferon-γ (IFN-γ) PET imaging can predict immunotherapy response early. This novel approach identifies treatment responders versus non-responders before tumor changes occur, aiding clinical decisions.
Area of Science:
- Oncology
- Immunology
- Radiochemistry
Background:
- Interferon-γ (IFN-γ) secretion indicates an active antitumor immune response during cancer immunotherapy.
- Early prediction of treatment responders versus non-responders is a critical clinical need.
- Positron emission tomography (PET) imaging of IFN-γ may offer a solution for early response assessment.
Purpose of the Study:
- To evaluate the potential of IFN-γ PET imaging to predict immunotherapy response in a preclinical cancer model.
- To determine if IFN-γ PET can differentiate between treated responders (TR) and treated non-responders (TNR) early in treatment.
Main Methods:
- Developed and tested [89Zr]Zr-DFO-anti-IFN-γ for PET imaging of IFN-γ.
- Administered the tracer to mice with CT26 tumors, treated with a CD137 agonist or untreated.
- Correlated tracer uptake with IFN-γ levels, tumor growth, and survival outcomes.
Main Results:
- [89Zr]Zr-DFO-anti-IFN-γ uptake strongly correlated with intratumoral IFN-γ levels.
- PET imaging successfully stratified treated responders from non-responders, with higher uptake indicating tumor regression.
- Increased tracer uptake (>13.9 %ID/mL) was significantly associated with improved overall survival.
Conclusions:
- IFN-γ PET imaging can stratify tumor response to immunotherapy early, before morphological changes are visible.
- IFN-γ PET serves as a promising predictive biomarker for immunotherapy response.
- This imaging technique addresses the unmet clinical need for early detection of antitumor immunity.
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