Issue 18, 2019

Precise delivery of a multifunctional nanosystem for MRI-guided cancer therapy and monitoring of tumor response by functional diffusion-weighted MRI

Abstract

The rational design of imaging-guided, highly efficient tumor-targeted delivery systems is of profound importance for improving cancer therapeutic efficacy. Herein, a cRGD peptide-functionalized poly(lactic-co-glycolic acid) (cRGD–PLGA) block copolymer was synthesized to encapsulate doxorubicin (DOX) and superparamagnetic iron oxide (SPIO) for magnetic resonance imaging (MRI)-guided cancer therapy. The micelles exhibited excellent pH-responsive drug release properties under physiological conditions and integrin-targeting ability. In an in vivo study, cRGD–PLGA–SPIO@DOX micelles exhibited improved antitumor effects and reduced toxicity compared with DOX drug treatment. The micelles can act as a theranostic agent for real-time therapeutic monitoring. Importantly, diffusion-weighted MRI was utilized to predict and monitor the cancer treatment response in nanomedicine therapy. Furthermore, the micelles also exhibited a preferable pharmacodynamic profile and significantly reduced side effects compared with DOX. In summary, we performed a proof-of-concept study demonstrating that cRGD–PLGA–SPIO@DOX micelles are a high-efficiency nanoparticulate drug-delivery platform for MR imaging-guided cancer theranostics. Taken together, this study provides a new strategy for combining functional diffusion-weighted MRI techniques and functionalized nanomicelles for precise cancer theranostics.

Graphical abstract: Precise delivery of a multifunctional nanosystem for MRI-guided cancer therapy and monitoring of tumor response by functional diffusion-weighted MRI

Supplementary files

Article information

Article type
Paper
Submitted
30 Nov 2018
Accepted
20 Mar 2019
First published
25 Mar 2019

J. Mater. Chem. B, 2019,7, 2926-2937

Precise delivery of a multifunctional nanosystem for MRI-guided cancer therapy and monitoring of tumor response by functional diffusion-weighted MRI

Z. Xiao, L. Chan, D. Zhang, C. Huang, C. Mei, P. Gao, Y. Huang, J. Liang, L. He, C. Shi, T. Chen and L. Luo, J. Mater. Chem. B, 2019, 7, 2926 DOI: 10.1039/C8TB03153C

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