Systematic review explores immuno-PET to visualize immune checkpoints in glioblastoma, suggesting improvements for patient outcomes.
Background Glioblastoma is known for its highly immunosuppressive microenvironment, hindering efficacy of immunotherapies. Non-invasive imaging like immuno-positron emission tomography offer the potential for visualizing immune dynamics within glioblastoma, potentially aiding in patient selection and treatment monitoring. This systematic review evaluates immuno-PET tracers currently under investigation for the non-invasive visualization of the immune environment in glioblastoma. Methods A literature search was conducted in PubMed and Web of Science up to March 2025, using keywords related to glioblastoma, immuno-PET, immune compartments, and specific tracers. Studies were screened based on predefined inclusion and exclusion criteria, focusing on the development, characterization, or application of immuno-PET tracers targeting immune cells or immune checkpoint molecules in glioblastoma. Results Nineteen studies met the inclusion criteria, exploring tracers targeting immune checkpoints and immune cell populations. Full-length antibodies demonstrated higher tumor specificity and retention compared to smaller fragments but showed longer circulation times. Peptide-based tracers and affibodies offered improved pharmacokinetics with rapid clearance and lower nonspecific uptake but encountered hurdles in ensuring adequate tumor targeting and retention. Advancements included dual-modal tracers combining PET and near-infrared fluorescence imaging for enhanced diagnostic and intraoperative applications. Conclusions Significant progress has been made in developing immuno-PET tracers for non-invasive visualization of immune reactions in glioblastoma. Challenges persist in clinical translation due to issues like blood-brain barrier permeability and safety profiles. Continued research and clinical evaluations are essential to harness the potential of immuno-PET in improving glioblastoma diagnosis, assessment of treatment response, and guiding personalized immunotherapy strategies, ultimately aiming to enhance patient outcomes.
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Lohmann et al. (2025) studied this question.
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