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Updated: Jun 19, 2025

Ex vivo Live Imaging of Lung Metastasis and Their Microenvironment
Published on: February 3, 2016
Non-Small Cell Lung Cancer Imaging Using a Phospholipase A2 Activatable Fluorophore
Michael C Hart1, Ritesh K Isuri1,2, Drew Ramos1
1Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
A novel fluorescent probe, DDAO-arachidonate (DDAO-A), shows promise for real-time lung cancer detection during surgery. This tool aids in identifying cancerous tissue, potentially improving surgical outcomes and resection rates.
Area of Science:
- Biomedical optics
- Molecular imaging
- Surgical oncology
Background:
- Lung cancer necessitates improved intraoperative detection methods for accurate surgical margin evaluation.
- Current techniques struggle to identify microscopic residual disease, impacting patient outcomes.
Purpose of the Study:
- To evaluate DDAO-arachidonate (DDAO-A), a phospholipase A2 (PLA2)-activatable fluorophore, for real-time optical identification of lung cancer during surgery.
- To assess DDAO-A's stability, specificity, and efficacy in preclinical and ex vivo models.
Main Methods:
- DDAO-A was formulated in liposomes and tested for fluorescence activation by PLA2 enzymes.
- Stability studies were conducted under various storage conditions.
- Cell-based assays and in vivo mouse models were used to assess DDAO-A activation and specificity.
- Ex vivo topical application on human and canine lung cancer tissues was performed.
Main Results:
- DDAO-A demonstrated optimal characteristics in 100 nm extruded EggPC liposomes and showed excellent stability.
- Cell studies confirmed DDAO-A activation was proportional to lung cancer cell number.
- DDAO-A exhibited preferential activation by cPLA2 compared to a control probe (DDAO-P).
- Ex vivo studies showed preferential DDAO-A activation in tumor tissue with tumor-to-normal ratios up to 5.2:1.
Conclusions:
- DDAO-A is a promising fluorophore for intraoperative lung cancer detection and margin assessment.
- Its stability, specificity, and ability to highlight tumor tissue suggest potential for improving surgical precision.
- DDAO-A may enhance curative resection rates by aiding in the identification of residual disease.
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