Evidence map›Paper›PMID 41972173›Full record

ReviewFrontiers in immunology2026

Targeted drug delivery systems for pancreatic cancer therapy: advances, challenges, and future perspectives.

Xiaonan Zhang, Xufeng Tao, Yunshu Zhang, Guangshuo Gan, Jing Lv, Lu Zhang, Deshi Dong

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xiaonan Zhang *Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Xufeng Tao *Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Yunshu ZhangDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Guangshuo GanDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Jing LvDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Lu ZhangDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Deshi DongDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Antineoplastic AgentsDrug Delivery SystemsPancreatic NeoplasmsAnimalsHumansNanoparticlesTumor MicroenvironmentAntineoplastic Agentsclinical translationimmune microenvironmentnanocarrierspancreatic cancertargeted drug delivery systems

Identifiers

PMID41972173
PMCPMC13062233

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.