Development of PET Radioisotope Copper-64-Labeled Theranostic Immunoliposomes for EGFR Overexpressing Cancer-Targeted Therapy and Imaging.
Hwa Yeon JeongSeong Jae KangMin Woo KimIn-Ho JeongMoon Jung ChoiCheulhee JungIn Ho SongYong Jin LeeYong Serk ParkPublished in: International journal of molecular sciences (2024)
Combining standard surgical procedures with personalized chemotherapy and the continuous monitoring of cancer progression is necessary for effective NSCLC treatment. In this study, we developed liposomal nanoparticles as theranostic agents capable of simultaneous therapy for and imaging of target cancer cells. Copper-64 ( 64 Cu), with a clinically practical half-life ( t 1/2 = 12.7 h) and decay properties, was selected as the radioisotope for molecular PET imaging. An anti-epidermal growth factor receptor (anti-EGFR) antibody was used to achieve target-specific delivery. Simultaneously, the chemotherapeutic agent doxorubicin (Dox) was encapsulated within the liposomes using a pH-gradient method. The conjugates of 64 Cu-labeled and anti-EGFR antibody-conjugated micelles were inserted into the doxorubicin-encapsulating liposomes via a post-insertion procedure ( 64 Cu-Dox-immunoliposomes). We evaluated the size and zeta-potential of the liposomes and analyzed target-specific cell binding and cytotoxicity in EGFR-positive cell lines. Then, we analyzed the specific therapeutic effect and PET imaging of the 64 Cu-Dox-immunoliposomes with the A549 xenograft mouse model. In vivo therapeutic experiments on the mouse models demonstrated that the doxorubicin-containing 64 Cu-immunoliposomes effectively inhibited tumor growth. Moreover, the 64 Cu-immunoliposomes provided superior in vivo PET images of the tumors compared to the untargeted liposomes. We suggest that nanoparticles will be the potential platform for cancer treatment as a widely applicable theranostic system.
Keyphrases
- pet imaging
- epidermal growth factor receptor
- drug delivery
- tyrosine kinase
- small cell lung cancer
- advanced non small cell lung cancer
- mouse model
- cancer therapy
- positron emission tomography
- drug release
- photodynamic therapy
- aqueous solution
- papillary thyroid
- fluorescence imaging
- metal organic framework
- high resolution
- computed tomography
- squamous cell
- single cell
- minimally invasive
- stem cells
- risk assessment
- mass spectrometry
- radiation therapy
- pet ct
- young adults
- machine learning
- simultaneous determination
- convolutional neural network
- squamous cell carcinoma
- combination therapy
- human health
- oxide nanoparticles