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A polydopamine-coated LAPONITE®-stabilized iron oxide nanoplatform for targeted multimodal imaging-guided photothermal cancer therapy

  • Mengxue Liu
  • , Jiulong Zhang
  • , Xin Li
  • , Chao Cai
  • , Xueyan Cao
  • , Xiangyang Shi*
  • , Rui Guo*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The development of theranostic nanoplatforms with accurate diagnosis and effective therapy performance is crucial for precision medicine applications. Herein, we developed a novel targeted theranostic nanoplatform for magnetic resonance (MR) and photoacoustic (PA) imaging-guided photothermal therapy of cancer cells overexpressing sialic acid (SA). Firstly, LAPONITE® (LAP)-stabilized Fe3O4 nanoparticles (NPs) with a high r2 relaxivity were synthesized by a coprecipitation method, and then polydopamine (PDA) was coated to improve the photothermal effect and PA contrast effect, followed by the modification of PEGylated phenylboronic acid (PEG-PBA) to introduce tumor-targeting specificity into SA-overexpressed cancer cells. The formed LAP-Fe3O4@PDA-PEG-PBA NPs show excellent biocompatibility and photothermal conversion efficiency under near-infrared laser irradiation and are able to be used for dual modal MR/PA imaging of a xenografted tumor model and induce complete eradication of tumors after NIR laser treatment. In summary, LAP-Fe3O4@PDA-PEG-PBA NPs could be theranostic nanoplatforms for sensitive MR/PA imaging and effective photothermal therapy of SA-overexpressed tumors.

© The Royal Society of Chemistry 2019
Original languageEnglish
Pages (from-to)3856-3864
Number of pages9
JournalJournal of Materials Chemistry B
Volume7
Issue number24
Online published30 May 2019
DOIs
Publication statusPublished - 28 Jun 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 The Royal Society of Chemistry.

Funding

This study is financially supported by the Shanghai Natural Science Foundation (17ZR1401200), and the National Natural Science Foundation of China (21785031 and 81761148028).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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