PLGA-Based Nanoparticles in Cancer Treatment
Summary
PLGA-based nanoparticles are widely investigated for cancer therapy, but their clinical translation remains limited. A consolidated overview was needed of how PLGA NP physicochemical properties, biological behavior, targeting strategies, and combination therapies interact—and why promising preclinical results have rarely translated into approved cancer nanomedicines. PLGA molecular weight controls release: At day 18, payload release was 95%, 66%, 50%, and 23% for PLGA Mw of 14.5, 45, 85, and 213 kDa, respectively. PTX-loaded NP sizes increased with Mw: 122 ± 3, 133 ± 2, and 160 ± 2.
> If PLGA NPs are rationally designed with appropriate size, surface chemistry, targeting ligands, and combination treatment modalities, then tumor accumulation, therapeutic efficacy, and safety can be improved—but clinical translation requires reproducibility, GMP manufacturing, and clinically relevant preclinical models.
Feature: Polymer; Description: Poly(lactic-co-glycolic acid) (PLGA); LA/GA ratio and molecular weight tune degradation, release, and hydrophobicity
Feature: Particle types; Description: PLGA nanoparticles (NPs); also PLGA microspheres, gels, and implants in clinical use
Feature: Shapes; Description: Spherical, rod-, needle-, and cylindrical-shaped PLGA NPs
Feature: Surface modifications; Description: PEGylation, chitosan, poly(dopamine), TPGS, poly(vinyl alcohol), d-α-tocopheryl PEG 1000 succinate
Feature: Targeting ligands; Description: Folate, biotin, aptamers (AS1411, A10), antibodies/antibody fragments, RGD peptides, transferrin, PSMA ligands, hyaluronic acid, EGFR-targeting peptides, VEGF-R
Feature: Payloads; Description: Chemotherapeutics (DOX, PTX, DTX, cisplatin, CUR, tamoxifen, 5-FU), nucleic acids (siRNA, shRNA, pDNA, CRISPR/Cas9 plasmid), imaging agents (SPIONs, ICG, magnetic NPs), immunotherapeutics/adjuvants
Feature: Combination modalities; Description: Chemotherapy + radiotherapy, magnetic hyperthermia, photodynamic therapy (PDT), photothermal therapy (PTT), gene therapy, cancer immunotherapy
- In vitro models: MCF-7, MCF-7/ADR, HeLa, HT-29, CT26, LNCaP, H1299, K562, 4T1, and others; drug-resistant and sensitive cancer cell lines.
- In vivo models: Mouse xenografts and orthotopic models (breast, colon, prostate, glioma, CML); tumor-bearing mice; CT26 colon carcinoma; MCF-7/ADR breast cancer; orthotopic glioma.
- Clinical context: FDA-approved PLGA microsphere/gel/implant formulations (Lupron Depot, Trelstar, Eligard, Zoladex); BIND-014 (PLA-PEG NP, not PLGA NP) phase II failure.
- Group structure / controls: From cited studies; typically free drug vs. NP, passive vs. active targeting, with/without magnetic field, with/without laser irradiation, combination vs. monotherapy.
- Physicochemical characterization: dynamic light scattering (DLS), zeta potential, SEM/TEM, drug loading and encapsulation efficiency.
- Release kinetics: in vitro drug release profiles.
- Cellular uptake/internalization: flow cytometry, confocal microscopy.
- Targeting/biodistribution: MRI, magnetic particle imaging (MPI), ultrasound, fluorescence imaging, gamma scintigraphy.
- Therapeutic efficacy: tumor volume, survival rate, IC50, apoptosis assays.
- Gene editing/silencing: CRISPR/Cas9 knockout, siRNA/shRNA knockdown, mRNA/protein expression.
- Immune response: CD8+ T cell priming, cytokine profiles, checkpoint blockade combination.
Implicit limitations: - Review is not systematic and provides no meta-analysis. - Most cited studies are preclinical; long-term toxicity and clinical efficacy data are sparse. - Regulatory and cost-effectiveness considerations are not deeply addressed.
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