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Advancements in nuclear imaging using radiolabeled nanobody tracers to support cancer immunotherapy. | LitMetric

AI Article Synopsis

  • The field of cancer immunotherapy is rapidly evolving, but the complex tumor microenvironment still leads to inconsistent treatment outcomes, highlighting the need for better predictive biomarkers.
  • Noninvasive nuclear imaging techniques using radiolabeled substances are showing promise in helping select patients and monitor their responses to treatment, ultimately aiming for personalized care and improved clinical results.
  • Nanobodies, which are small antibodies derived from camels, are being developed for nuclear imaging to detect specific cancer targets more effectively, with ongoing advancements at both preclinical and clinical levels to enhance cancer diagnosis and treatment monitoring.

Article Abstract

The evolving landscape of cancer immunotherapy has revolutionized cancer treatment. However, the dynamic tumor microenvironment has led to variable clinical outcomes, indicating a need for predictive biomarkers. Noninvasive nuclear imaging, using radiolabeled modalities, has aided in patient selection and monitoring of their treatment response. This approach holds promise for improving diagnostic accuracy, providing a more personalized treatment regimen, and enhancing the clinical response. Nanobodies or single-domain antibodies, derived from camelid heavy-chain antibodies, allow early timepoint detection of targets with high target-to-background ratios. To date, a plethora of nanobodies have been developed for nuclear imaging of tumor-specific antigens, immune checkpoints, and immune cells, both at a preclinical and clinical level. This review comprehensively outlines the recent advancements in nanobody-based nuclear imaging, both on preclinical and clinical levels. Additionally, the impact and expected future advancements on the use of nanobody-based radiopharmaceuticals in supporting cancer diagnosis and treatment follow-up are discussed.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11402390PMC
http://dx.doi.org/10.1093/immadv/ltae006DOI Listing

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