Evidence map›Paper›PMID 41230088›Full record

ReviewFrontiers in pharmacology2025

PLGA-based nanoparticles in colorectal cancer immunotherapy: current concepts and future perspectives.

Yuhan Wang, Peng Huang, Chun Li, Shengjin Tu, Hua Yang

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Size-Dependent Immunomodulatory Effects of FeMolecules (Basel, Switzerland) · 2026
    Article
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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

5 authors.

Yuhan WangDepartment of General Surgery, Zigong Fourth People's Hospital, Zigong, Sichuan, China.
Peng HuangDivision of Abdominal Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Chun LiDepartment of General Surgery, Zigong Fourth People's Hospital, Zigong, Sichuan, China.
Shengjin TuDepartment of General Surgery, Zigong Fourth People's Hospital, Zigong, Sichuan, China.
Hua YangDepartment of General Surgery, Zigong Fourth People's Hospital, Zigong, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) remains a leading cause of cancer mortality, and the benefits of immune checkpoint inhibitors are largely confined to the dMMR/MSI-H minority, underscoring the need to remodel the immunosuppressive tumor microenvironment (TME). Poly (lactic-co-glycolic acid) (PLGA) nanoparticles offer biodegradable, tunable carriers with high payload capacity and amenability to targeting, enabling precise delivery and controlled release of immunomodulators. In CRC, these platforms can enhance antigen capture and presentation, recondition suppressive myeloid networks, and coordinate checkpoint blockade with complementary therapeutics to strengthen antitumor immunity and restrain tumor growth. In this review, we summarize current principles for PLGA nanoparticles-based immunotherapies, emphasizing payload selection, release kinetics, microenvironmental responsiveness, and spatiotemporal targeting in CRC. We also outline translational considerations encompassing safety, pharmacokinetics, manufacturability, and regulatory readiness. Addressing these factors may accelerate clinical deployment of PLGA-enabled strategies and extend the benefits of immunotherapy in CRC patients.

Indexed as

clinical applicationcolorectal cancerimmunotherapynanomedicinePLGA

Identifiers

PMID41230088
PMCPMC12602478

What OpenQuestion 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 OpenQuestion graph.