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Updated: May 25, 2025

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
Published on: July 17, 2012
Dual-Labeled Small Peptides in Cancer Imaging and Fluorescence-Guided Surgery: Progress and Future Perspectives
Paul Minges1,2, Matthias Eder1,2, Ann-Christin Eder1,2
1Department of Nuclear Medicine, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.
Abstract:
Dual-labeled compounds that combine radiolabeling and fluorescence labeling represent a significant advancement in precision oncology. Their clinical implementation enhances patient care and outcomes by leveraging the high sensitivity of radioimaging for tumor detection and taking advantage of fluorescence-based optical visualization for surgical guidance. Non-invasive radioimaging facilitates immediate identification of both primary tumors and metastases, while fluorescence imaging assists in decision-making during surgery by offering a spatial distinction between malignant and non-malignant tissue. These advancements hold promise for enhancing patient outcomes and personalization of cancer treatment. The development of dual-labeled molecular probes targeting various cancer biomarkers is crucial in addressing the heterogeneity inherent in cancer pathology and recent studies had already demonstrated the impact of dual-labeled compounds in surgical decision-making (NCT03699332, NCT03407781). This review focuses on the development and application of small dual-labeled peptides in the imaging and treatment of various cancer types. It summarizes the biomarkers targeted to date, tracing their development from initial discovery to the latest advancements in peptidomimetics. Through comprehensive analysis of recent preclinical and clinical studies, the review demonstrates the potential of these dual-labeled peptides to improve tumor detection, localization, and resection. Additionally, it highlights the evolving landscape of dual-modality imaging, emphasizing its critical role in advancing personalized and effective cancer therapy. This synthesis of current research underscores the promise of dual-labeled peptides in enhancing diagnostic accuracy and therapeutic outcomes in oncology.
Insights
Dual-labeled peptides offer advanced precision oncology tools. These compounds combine radioimaging for tumor detection and fluorescence imaging for surgical guidance, improving cancer diagnosis and treatment outcomes.
Area of Science:
- Oncology
- Molecular Imaging
- Precision Medicine
Background:
- Dual-labeled compounds integrate radiolabeling and fluorescence labeling for enhanced cancer diagnostics and therapeutics.
- Current applications leverage radioimaging for sensitive tumor detection and fluorescence imaging for surgical guidance.
- Cancer treatment personalization is advanced by these dual-modality imaging agents.
Purpose of the Study:
- To review the development and application of small dual-labeled peptides in cancer imaging and treatment.
- To summarize targeted biomarkers and advancements in peptidomimetics for dual-labeled probes.
- To highlight the potential of dual-labeled peptides in improving tumor detection, localization, and resection.
Main Methods:
- Comprehensive analysis of preclinical and clinical studies on dual-labeled peptides.
- Review of targeted biomarkers and evolution of peptidomimetics.
- Synthesis of current research on dual-modality imaging in oncology.
Main Results:
- Dual-labeled peptides demonstrate potential in improving tumor detection, localization, and resection.
- Advancements in peptidomimetics enhance the efficacy of dual-labeled molecular probes.
- Dual-modality imaging plays a critical role in personalized cancer therapy.
Conclusions:
- Dual-labeled peptides represent a significant advancement in precision oncology.
- These agents enhance diagnostic accuracy and therapeutic outcomes in cancer care.
- The development of dual-labeled peptides is crucial for addressing cancer heterogeneity and improving patient outcomes.

