Evidence map›Paper›PMID 41451226›Full record

ReviewFrontiers in immunology2025

Research progress on the induction of immunogenic cell death in tumor immunotherapy using a sonodynamic therapy nanoparticle delivery system.

Yang Du, Jiangnan Yang, An Xu, Shuai Chen, Deyuan Fu

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. 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

5 authors.

Yang Du *Department of Thyroid and Breast Surgery, Clinical Medical College, Yangzhou University, Yangzhou, China.
Jiangnan Yang *Department of Basic Medicine, Medical College of Hunan Normal University, Changsha, China.
An XuDepartment of Thyroid and Breast Surgery, Clinical Medical College, Yangzhou University, Yangzhou, China.
Shuai ChenDepartment of Thyroid and Breast Surgery, Yiyang Central Hospital, Yiyang, China.
Deyuan FuDepartment of Thyroid and Breast Surgery, Clinical Medical College, Yangzhou University, Yangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ICD is critical for enhancing antitumor immune responses in tumor immunotherapy. SDT employs ultrasound to activate Sonosensitizers, generating ROS that induce cytotoxic tumor cell death and trigger ICD through the release of DAMPs. However, standalone SDT faces challenges such as limited Sonosensitizers accumulation and poor tissue specificity. Nanoparticle-mediated SDT addresses these limitations by improving Sonosensitizers delivery, tumor targeting, and biocompatibility. This review explores how nanotechnology enhances SDT to induce ICD, focusing on its integration with chemotherapy and immunotherapy to achieve synergistic antitumor effects. We highlight recent advancements in multifunctional nanoplatforms that optimize ROS production, reprogram the tumor microenvironment, and enhance immune activation. By overcoming the constraints of conventional therapies, nanoparticle-mediated SDT offers a promising strategy for precise, effective, and low-toxicity tumor immunotherapy, with potential for clinical translation.

Indexed as

Immunogenic Cell DeathImmunotherapyNanoparticle Drug Delivery SystemNanoparticlesNeoplasmsUltrasonic TherapyAnimalsHumansTumor MicroenvironmentNanoparticle Drug Delivery Systemdrug deliveryimmunogenic cell deathnanotechnologysonodynamic therapysynergistic effect

Identifiers

PMID41451226
PMCPMC12728005

What OpenQuestion holds

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Registered trials

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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.