ROS-responsive dimeric prodrug-based nanomedicine targeted therapy for gastric cancer

Jiachi Ma1, Yuzhong Chen1, Wanqing Liang2

  • 1Department of Oncological Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, People's Republic of China.

Drug Delivery
|June 18, 2021
PubMed

Insights

This study developed a novel ursolic acid (UA) nanoparticle delivery system that is sensitive to reactive oxygen species (ROS). This system enhances UA

Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Oncology

Background:

  • Gastric cancer (GC) poses a significant global health challenge.
  • Ursolic acid (UA) shows promise for inhibiting GC but faces limitations due to poor solubility and biocompatibility.
  • Overcoming these limitations is crucial for effective GC treatment.

Purpose of the Study:

  • To develop an innovative reactive oxygen species (ROS)-sensitive UA dimeric prodrug delivery system.
  • To enhance the anti-gastric cancer efficacy of ursolic acid.
  • To improve the clinical applicability of UA for cancer therapy.

Main Methods:

  • Synthesized a dimeric UA prodrug linked via a ROS-cleavable bond.
  • Formulated nanoparticles with a polyethylene glycol (PEG) shell and RGD peptide surface modification.
  • Evaluated drug loading, stability, ROS-triggered drug release, and anti-tumor effects in vitro and in vivo.

Main Results:

  • Achieved high drug loading (55% w/w) in the dimeric prodrug nanoparticles.
  • Demonstrated rapid and selective conversion of the prodrug to UA in response to ROS.
  • Showcased enhanced anti-tumor efficacy against gastric cancer in vitro and in vivo models.
  • Confirmed improved colloid stability and extended blood circulation due to the PEG shell.
  • Observed increased tumor targeting via RGD surface modification.

Conclusions:

  • The developed ROS-sensitive UA dimeric prodrug nanoparticles offer a promising strategy for gastric cancer treatment.
  • This novel delivery system effectively overcomes UA's solubility and biocompatibility issues.
  • The approach holds potential for advancing UA's clinical application in oncology.