Designing multifunctional cancer-targeted nanosystem for magnetic resonance molecular imaging-guided theranostics of lung cancer

Abstract

The integration of diagnosis and therapy is an effective way to improve therapeutic effects for cancer patients, which has acquired widely attentions from researchers. Herein, a multifunctional drug-loaded nanosystem (F/A-PLGA@DOX/SPIO) has been designed and synthesized to reduce the side effects of traditional chemotherapy drugs and realize simultaneous tumor diagnosis and treatment. The surface modification of folic acid (FA) and activatable cell-penetrating peptide (ACPP) endows the nanosystem with excellent cancer targeting capabilities, thus reducing toxicity to normal organs. Besides, the F/A-PLGA@DOX/SPIO nanosystem can serve as an excellent magnetic resonance imaging (MRI) T₂-negative contrast agent. More importantly, according to in vitro experiments, the F/A-PLGA@DOX/SPIO nanosystem can promote the overproduction of reactive oxygen species (ROS) within A549 lung cancer cells, inducing cell apoptosis, greatly enhancing the antineoplastic effect. Furthermore, with the help of MRI technology, the targeting imaging of the F/A-PLGA@DOX/SPIO nanosystem within tumors and the dynamic monitoring of medicine efficacy can be realized. Therefore, this study provided a multifunctional drug-loaded F/A-PLGA@DOX/SPIO targeted nanosystem for magnetic resonance molecular imaging-guided theranostics, which has excellent potential for the application in tumor diagnosis and therapy.

Keywords:

• magnetic resonance imaging (MRI)
• molecular imaging (MI)
• superparamagnetic iron oxide (SPIO)
• theranostics
• tumor targeting

Disclosure statement

The authors declare no conflict of interest arising from this work.

Additional information

Funding

This work was supported by National High-level Personnel of Special Support Program (W02070191), Natural Science Foundation of China (21701051), Natural Science Foundation of China (81771973), Science and Technology Planning Project of Guangdong Province, China (2017A020215065).