Issue 16, 2023

Aptamer modified Zr-based porphyrinic nanoscale metal–organic frameworks for active-targeted chemo-photodynamic therapy of tumors

Abstract

Active-targeted nanoplatforms could specifically target tumors compared to normal cells, making them a promising therapeutic agent. The aptamer is a kind of short DNA or RNA sequence that can specifically bind to target molecules, and could be widely used as the active targeting agents of nanoplatforms to achieve active-targeted therapy of tumors. Herein, an aptamer modified nanoplatform DOX@PCN@Apt-M was designed for active-targeted chemo-photodynamic therapy of tumors. Zr-based porphyrinic nanoscale metal organic framework PCN-224 was synthesized through a one-pot reaction, which could produce cytotoxic 1O2 for efficient treatment of tumor cells. To improve the therapeutic effect of the tumor, the anticancer drug doxorubicin (DOX) was loaded into PCN-224 to form DOX@PCN-224 for tumor combination therapy. Active-targeted combination therapy achieved by modifying the MUC1 aptamer (Apt-M) onto DOX@PCN-224 surface can not only further reduce the dosage of therapeutic agents, but also reduce their toxic and side effects on normal tissues. In vitro, experimental results indicated that DOX@PCN@Apt-M exhibited enhanced combined therapeutic effect and active targeting efficiency under 808 nm laser irradiation for MCF-7 tumor cells. Based on PCN-224 nanocarriers and aptamer MUC1, this work provides a novel strategy for precisely targeting MCF-7 tumor cells.

Graphical abstract: Aptamer modified Zr-based porphyrinic nanoscale metal–organic frameworks for active-targeted chemo-photodynamic therapy of tumors

Supplementary files

Article information

Article type
Paper
Submitted
04 Feb 2023
Accepted
04 Apr 2023
First published
11 Apr 2023
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2023,13, 11215-11224

Aptamer modified Zr-based porphyrinic nanoscale metal–organic frameworks for active-targeted chemo-photodynamic therapy of tumors

H. Feng, L. Zhao, Z. Bai, Z. Xin, C. Wang, L. Liu, J. Song, H. Zhang, Y. Bai and F. Feng, RSC Adv., 2023, 13, 11215 DOI: 10.1039/D3RA00753G

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