Frontiers in Immunology · 2023 · 15 citations · 40 references
MedicineImmunologyOncologyCancer ImmunologyImmunotherapyMolecular ImagingCancer ImmunotherapyCheckpoint Inhibitor TherapyImmune Checkpoint InhibitorsImmune Checkpoint RegulationImmune CheckpointsImmuno-oncology BiomarkersImmune Checkpoint MonitoringImmune Checkpoint ReceptorsIn Vivo ImagingNanobodiesNext-generation Checkpoint TargetsSingle-chain Variable FragmentsTechnetium-99m LabelingTherapy Response Monitoring
Introduction T cell Ig and ITIM domain receptor (TIGIT) is a next-generation immune checkpoint predominantly expressed on activated T cells and NK cells, exhibiting an unfavorable prognostic association with various malignancies. Despite the emergence of multiple TIGIT-blocking agents entering clinical trials, only a fraction of patients responded positively to anti-TIGIT therapy. Consequently, an urgent demand arises for noninvasive techniques to quantify and monitor TIGIT expression, facilitating patient stratification and enhancing therapeutic outcomes. Small antigen binding moieties such as nanobodies, are promising candidates for such tracer development. Methods We generated a panel of anti-human or anti-mouse TIGIT nanobodies from immunized llamas. In addition, we designed a single-chain variable fragment derived from the clinically tested monoclonal antibody Vibostolimab targeting TIGIT, and assessed its performance alongside the nanobodies. In vitro characterization studies were performed, including binding ability and affinity to cell expressed or recombinant TIGIT. After Technetium-99m labeling, the nanobodies and the single-chain variable fragment were evaluated in vivo for their ability to detect TIGIT expression using SPECT/CT imaging, followed by ex vivo biodistribution analysis. Results Nine nanobodies were selected for binding to recombinant and cell expressed TIGIT with low sub-nanomolar affinities and are thermostable. A six-fold higher uptake in TIGIT-overexpressing tumor was demonstrated one hour post- injection with Technetium-99m labeled nanobodies compared to an irrelevant control nanobody. Though the single-chain variable fragment exhibited superior binding to TIGIT-expressing peripheral blood mononuclear cells in vitro , its in vivo behavior yielded lower tumor-to-background ratios at one hour post- injection, indicating that nanobodies are better suited for in vivo imaging than the single-chain variable fragment. Despite the good affinity, high specificity and on-target uptake in mice in this setting, imaging of TIGIT expression on tumor- infiltrating lymphocytes within MC38 tumors remained elusive. This is likely due to the low expression levels of TIGIT in this model. Discussion The excellent affinity, high specificity and rapid on-target uptake in mice bearing TIGIT- overexpressing tumors showed the promising diagnostic potential of nanobodies to noninvasively image high TIGIT expression within the tumor. These findings hold promise for clinical translation to aid patient selection and improve therapy response.
40
The tumor microenvironment at a glance
Frances R. Balkwill, Melania Capasso, Thorsten Hagemann · Journal of Cell Science · 2012 · 1.8K citations
Medicine, Cell Biology, Oncology +17
The Immunoreceptor TIGIT Regulates Antitumor and Antiviral CD8 + T Cell Effector Function
Robert J. Johnston, Laëtitia Comps‐Agrar, Jason A. Hackney et al. · Cancer Cell · 2014 · 1.2K citations · Full text
Life Sciences, Immunology, Oncology +12
TIGIT predominantly regulates the immune response via regulatory T cells
Sema Kurtuluş, Kaori Sakuishi, Shin-Foong Ngiow et al. · Journal of Clinical Investigation · 2015 · 543 citations · Full text
Life Sciences, Immunology, Oncology +17