Targeted drug delivery systems for pancreatic cancer therapy: advances, challenges, and future perspectives
Xiaonan Zhang1,2, Xufeng Tao1, Yunshu Zhang1,2
1Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Abstract:
The review summarizes recent advances, challenges, and future perspectives in targeted drug delivery systems (DDSs) for pancreatic cancer (PC) therapy. Given the dismal prognosis of PC treatment is hindered by a dense desmoplastic stroma, profound hypoxia, limited T-cell infiltration, and abundant immunosuppressive myeloid populations, together forming physical and immunological barriers to effective therapy. Targeted DDSs based on organic, inorganic, and biological platforms (e.g., liposomes/lipid nanoparticles, polymeric nanoparticles, carrier-free drug self-assembly systems, hybrid inorganic-organic nanomaterials, and biomimetic carriers such as exosomes and protein nanocages) can enhance tumor accumulation and reduce off-target toxicity through active ligand-receptor targeting, microenvironment-adaptive delivery, and controlled release triggered by internal cues (pH, enzymes, reactive oxygen species, hypoxia) or external stimuli (light, heat, magnetic fields). Importantly, DDSs are designed to remodel the immunosuppressive tumor microenvironment (TME) by reprogramming tumor-associated macrophages, inhibiting myeloid-derived suppressor cells, activating innate immune sensing pathways, and overcoming stromal immune exclusion via stroma-immune co-modulation or transcytosis-enabled penetration. We further discuss precision-medicine opportunities, proposing biomarker-guided stratification and monitoring frameworks that link patient-specific TME features (e.g., stroma-high/immune-excluded, myeloid-dominant, weak innate priming) to rational DDS selection and combination regimens. Future development should prioritize clinically actionable combination strategies, localized/depot delivery when appropriate, and data-driven design and optimization (including artificial intelligence and machine learning) to accelerate personalized, translatable DDSs for improving pancreatic cancer outcomes.
Insights
Targeted drug delivery systems (DDSs) offer new hope for pancreatic cancer (PC) by overcoming tumor barriers. These advanced DDSs remodel the tumor microenvironment (TME) and enable precision medicine for better patient outcomes.
Area of Science:
- Oncology
- Nanotechnology
- Drug Delivery
Background:
- Pancreatic cancer (PC) has a poor prognosis due to physical and immunological barriers like dense stroma and immunosuppression.
- Targeted drug delivery systems (DDSs) are crucial for overcoming these challenges in PC therapy.
Purpose of the Study:
- To review recent advances, challenges, and future directions in targeted DDSs for pancreatic cancer.
- To explore how DDSs can remodel the tumor microenvironment (TME) and enable precision medicine.
Main Methods:
- Review of organic, inorganic, and biological DDS platforms (e.g., nanoparticles, exosomes).
- Analysis of DDS strategies for enhancing tumor accumulation, reducing toxicity, and triggering controlled release.
- Examination of DDS mechanisms for modulating the immunosuppressive TME and overcoming immune exclusion.
Main Results:
- Targeted DDSs can enhance tumor targeting and reduce off-target toxicity via ligand-receptor interactions and stimuli-responsive release.
- DDSs can reprogram the TME by modulating immune cells and overcoming stromal barriers.
- Biomarker-guided frameworks can link TME features to rational DDS selection and combination therapies.
Conclusions:
- Targeted DDSs show promise for improving pancreatic cancer treatment by overcoming TME barriers and enabling personalized medicine.
- Future research should focus on clinically actionable combinations, localized delivery, and AI/ML-driven optimization for translatable DDSs.
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