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Tumor-Targeted Delivery Therapy Based on PLGA Nanoparticles.

Fang Wu^1,2, Yuan Gao^2,3, Yongjie Chi^2,3

¹School of Pharmacy, Heilongjiang University of Chinese Medicine, Harbin 150040, China.

Journal of Functional Biomaterials

|May 26, 2026

Summary

This summary is machine-generated.

Poly(lactic acid-lactic acid) (PLGA) nanoparticles offer advanced tumor-targeted drug delivery. These nanoparticles enhance drug accumulation at tumor sites, improving efficacy and reducing side effects for precision nanomedicine.

Keywords:

PLGA nanoparticles drug delivery stimulus-responsive release tumor targeting

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Published on: June 13, 2014

Area of Science:

Biomaterials Science
Nanotechnology
Oncology

Background:

Poly(lactic acid-lactic acid) (PLGA) is a versatile biomaterial with excellent biocompatibility and degradability.
PLGA nanoparticles (NPs) show promise for drug delivery due to their multifunctionality.
Tumor-targeted drug delivery aims to increase drug concentration at the tumor site while minimizing systemic toxicity.

Purpose of the Study:

To systematically review the physicochemical properties of PLGA materials for drug delivery.
To summarize recent advances in tumor-targeting strategies utilizing PLGA NPs.
To elucidate breakthroughs in PLGA-based delivery systems for enhanced cancer therapy.

Main Methods:

Review of fundamental physicochemical properties of PLGA.
Analysis of recent research on PLGA NP tumor-targeting strategies.
Elucidation of stimulus-response mechanisms, passive targeting, active targeting, and combination immunotherapy.

Main Results:

PLGA NPs can be engineered for targeted delivery via surface modifications and stimulus-responsive release.
Strategies include passive targeting (EPR effect), active targeting (ligand-receptor interactions), and combination immunotherapy.
Synergistic strategies are key to enhancing the targeting efficiency of PLGA-based systems.

Conclusions:

PLGA NPs represent a promising platform for advanced tumor-targeted drug delivery.
Further research into clinical translation and individualized oncology is crucial for precision nanomedicine.
This review provides guidance for developing next-generation PLGA-based nanomedicines.