Evidence map›Paper›PMID 36437106›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Emerging Sonodynamic Therapy-Based Nanomedicines for Cancer Immunotherapy.

Yunrong Yang, Jia Huang, Min Liu, Yige Qiu, Qiaohui Chen, Tianjiao Zhao, Zuoxiu Xiao, Yuqi Yang, Yitian Jiang, Qiong Huang and 1 more

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Method for Isolating Hypericin fromMolecules (Basel, Switzerland) · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. External Stimuli-Activable Single-Atom Nanozymes for Bioapplications.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Organic Semiconducting Polymers for Cancer Sonodynamic Immunotherapy.Polymer science & technology (Washington, D.C.) · 2026
    Review
  17. Review
  18. Review
  19. Review
  20. Article

39 more citing papers are in PubMed but not listed here.

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

11 authors.

Yunrong YangDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P. R. China.
Jia HuangXiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, P. R. China.
Min LiuDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P. R. China.
Yige QiuXiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, P. R. China.
Qiaohui ChenXiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, P. R. China.
Tianjiao ZhaoXiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, P. R. China.
Zuoxiu XiaoXiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, P. R. China.
Yuqi YangXiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, P. R. China.
Yitian JiangXiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, P. R. China.
Qiong HuangDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P. R. China.
Kelong AiXiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, P. R. China.ORCID 0000-0002-9863-8963

Funding

Hunan Provincial Natural Science Foundation of China 2021JJ31066Hunan Science Fund for Distinguished Young Scholar 2021JJ10067Key Research Project of Ningxia Hui Autonomous Region in 2021 2021BEG01001National Natural Science Foundation of China 21974134National Natural Science Foundation of China 81974508
6 · The paper itself

Abstract

Cancer immunotherapy effect can be greatly enhanced by other methods to induce immunogenic cell death (ICD), which has profoundly affected immunotherapy as a highly efficient paradigm. However, these treatments have significant limitations, either by causing damage of the immune system or limited to superficial tumors. Sonodynamic therapy (SDT) can induce ICD to promote immunotherapy without affecting the immune system because of its excellent spatiotemporal selectivity and low side effects. Nevertheless, SDT is still limited by low reactive oxygen species yield and the complex tumor microenvironment. Recently, some emerging SDT-based nanomedicines have made numerous attractive and encouraging achievements in the field of cancer immunotherapy due to high immunotherapeutic efficiency. However, this cross-cutting field of research is still far from being widely explored due to huge professional barriers. Herein, the characteristics of the tumor immune microenvironment and the mechanisms of ICD are firstly systematically summarized. Subsequently, the therapeutic mechanism of SDT is fully summarized, and the advantages and limitations of SDT are discussed. The representative advances of SDT-based nanomedicines for cancer immunotherapy are further highlighted. Finally, the application prospects and challenges of SDT-based immunotherapy in future clinical translation are discussed.

Indexed as

NeoplasmsUltrasonic TherapyHumansImmunotherapyNanomedicineReactive Oxygen SpeciesTumor MicroenvironmentReactive Oxygen Speciescancer immunotherapyimmune adjuvantsimmune checkpoint blockade therapyimmunogenic cell deathsonodynamic therapy

Identifiers

PMID36437106
PMCPMC9839863

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.